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Position Summary

The Service AI Transformation Team turns existing document data into AI‑powered services and integrations that streamline workflows across Natera’s clinical, commercial, and operational domains. As a Software Engineer III, you will implement features across the stack in a small, highly autonomous squad, applying modern serverless patterns, event streaming, and generative‑AI techniques to deliver reliable, scalable capabilities.

Responsibilities

Core Engineering

• Implement event‑driven transformation workflows and service integrations with AWS Lambda, Step Functions, S3, EventBridge, SNS/SQS, and Fargate, delivered through Infrastructure‑as‑Code (CDK or Terraform).
• Leverage cloud‑based foundation‑model APIs: Build AI transformation pipelines that orchestrate prompts, generate embeddings, and implement Retrieval‑Augmented Generation (RAG) patterns.
• Develop internal tooling and dashboards with React/Next.js backed by GraphQL APIs.
• Integrate with Kafka streams to exchange messages with domain microservices.

Quality & Reliability

• Contribute to AI‑focused testing—prompt regression suites, hallucination detection, evaluation harnesses—alongside unit, integration, and load tests.
• Instrument services with CloudWatch and Datadog and participate in CI/CD pipelines to ensure robust observability and dependable releases.

Collaboration & Growth

• Work closely with senior engineers and Product to break down requirements into well‑scoped technical tasks.
• Participate in design reviews, code reviews, and knowledge sharing to continually improve team velocity and quality.

Minimum Qualifications

• 4+ years of professional software engineering experience delivering production cloud services.
• Solid experience with AWS serverless architectures and event‑streaming patterns (Kafka).
• Proficiency with TypeScript/JavaScript, React/Next.js, and GraphQL.
• Hands‑on experience with AI Orchestration, guardrails, data validation and quality , prompt engineering, and RAG patterns.
• Familiarity with CI/CD and Infrastructure‑as‑Code (CDK/Terraform).

Preferred / Bonus

• Experience in healthcare, genomics, or other regulated domains.
• Exposure to vector search and semantic similarity techniques.
• Understanding of data privacy and compliance standards such as HIPAA.

Ready to unlock new AI‑powered workflows that transform how Natera operates? Join the Service AI Transformation Team and make an impact.

#LI-DNI

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$105,700—$132,100 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Senior Applied AI Engineer to join our Applied AI team. In this role, you will design, build, and operationalize production-ready AI and machine learning systems that deliver measurable business impact for enterprise customers. You will collaborate closely with Applied AI Solutions Architects, data scientists, data engineers, platform engineers, software engineers, and client stakeholders to turn solution designs into reliable implementations. You will help mature our engineering standards and reusable assets so phData can consistently deliver high-quality Applied AI solutions at scale.

Key Responsibilities

• Build and operationalize production-ready Applied AI and machine learning solutions, translating architecture designs and business requirements into clean, maintainable, well-tested code.
• Own the end-to-end implementation of AI applications and workflows across predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation.
• Drive the productionization of AI/ML systems by implementing robust data and model pipelines, deployment and inference patterns, observability, guardrails, and evaluation suites.
• Partner with architects, engineers, and business stakeholders to refine solution designs, clarify requirements, explain technical tradeoffs, and ensure solutions integrate effectively with enterprise data, applications, and workflows.
• Contribute to engineering excellence by troubleshooting complex issues, documenting systems and decisions, and creating reusable accelerators, reference implementations, and delivery playbooks for the Applied AI practice.

About You

You are a technically rigorous problem solver who enjoys building practical, production-ready AI solutions in an outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline, including at least 3 years designing, building, deploying, or operating AI and machine learning solutions in production.

Technical / Functional Skills

• Strong programming experience in Python and solid working knowledge of SQL for building AI/ML pipelines, services, and applications.
• Proven experience building and productionizing AI/ML systems, including generative AI, LLM-powered applications, predictive ML, or MLOps solutions.
• Hands-on experience developing production software, APIs, services, and data or model pipelines that support training, inference, evaluation, monitoring, and retraining.
• Understanding of production AI/ML concerns such as evaluation, observability, security, governance, scalability, performance, cost optimization, and operational support.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, and contemporary AI frameworks and providers (for example, Anthropic or OpenAI).
• Ability to collaborate and communicate effectively with architects, engineers, data scientists, platform teams, business stakeholders, and client representatives in a consulting or client-facing delivery environment.

Education - If desired

Bachelor’s degree in relevant field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience building agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as the Model Context Protocol (MCP).
• Experience designing and deploying enterprise RAG systems, semantic retrieval solutions, AI applications, or intelligent workflow automation.
• Experience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex, and with LLM orchestration frameworks such as LangChain, LlamaIndex, or comparable tools.
• Experience with model registries, feature stores, data and model lineage, model monitoring, drift detection, AI evaluations, prompt management, AI gateways, and modern DevOps practices (containerization, infrastructure as code, CI/CD, APIs, distributed systems).
• Experience building reusable accelerators, modular architectures, or libraries deployed across multiple clients, plus industry exposure (for example, life sciences, retail, financial services, or manufacturing) or contributions to open-source projects and technical communities.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.

GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet.

The application window will be open until at least September 24th, 2026 This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

Role Description

We are seeking a Senior Platform Engineer to manage multiple critical enterprise applications, including but not limited to Netcracker, Alepo, and Axiros, on GCP. In this high-impact role, you will support cross-functional engineering teams by streamlining their deployment processes and providing a unified, reliable platform. You will be responsible for designing automated deployment pipelines, building upgrade scripts, and enhancing our GCP cloud infrastructure to ensure scalability. The ideal candidate possesses deep expertise in GCP, Terraform, Linux administration, and CI/CD methodologies, and thrives in a collaborative environment driving infrastructure-as-code standards.

In this role, you’ll:

• Architect and maintain scalable, reliable systems and applications on Google Cloud Platform (GCP) and Drive Infrastructure-as-Code (IaC) standards by developing and maintaining configurations with Terraform.
• Design and implement end-to-end CI/CD pipelines to accelerate software delivery and automation.
• Lead incident management, conduct Root Cause Analysis (RCA), and participate in on-call rotations to ensure high service availability.
• Collaborate with engineering teams to optimize system performance and prioritize resource rightsizing.
• Build and maintain internal developer platforms and tools that enhance engineering productivity.

At a minimum, we’d like you to have:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of direct experience in public cloud environments, including Kubernetes, VPC, and Cloud Run and expertise in infrastructure management and automation using Terraform , Ansible and SaltStack.
• 5 years of experience leading SDLC, CI/CD pipeline implementation, and supporting enterprise applications.
• 5 years of experience with Linux system internals, containerization,  building autonomous task workflows and establishing security guardrails.
• 2 years of experience coding in programming languages such as Python or Java.
• Familiarity with monitoring and logging ecosystems (e.g., GCP Monitoring, Prometheus, Datadog, Dynatrace, ELK) and diagnosing complex system-level issues.

It’s preferred if you have:

• Proven experience architecting and deploying solutions using AI/LLM stacks (Gemini, Vertex AI, ADK).
• 5 years of direct experience in GCP and managing multi-cloud environments
• Experience in application performance optimization for both stand-alone and distributed systems.
• Excellent analytical, communication, and cross-team collaboration skills.

The US base salary range for this full-time position is between $140,000 - $200,800 + bonus + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google’s Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC’s “Know your rights: workplace discrimination is illegal” (PDF).

It’s important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing ouraccommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.

Location(s): US (remote), Boston (hybrid), or New York (hybrid)

About Toast

Toast builds technology that helps food and beverage businesses run smoother, serve customers better, and grow with confidence. Our platform brings together the tools teams need to power daily operations—while turning complexity into clear, actionable insights. We’re purpose-built for the pace of hospitality, and we’re investing in new experiences that make great businesses easier to run at any scale.

Bready* to make a change?

Our New Ventures team operates like a startup inside Toast. We’re a small group building a new line of business from scratch on the foundation of the Toast platform, unlocking a new market with new customers, and we have a lot of room to decide how things should work.

We’re looking for a builder — someone genuinely fullstack, as comfortable in a backend service as in a React front end, who follows a problem wherever it leads instead of stopping where their specialty ends. You’ll work across backend, web, and our Android point-of-sale and handheld apps. Prior Kotlin isn’t required; comfort learning a new platform is.

About this roll* (Responsibilities)

• Build end-to-end across the stack — backend services, APIs and data models, web front ends, and our Android point-of-sale and handheld apps — going wherever the product needs you.
• Get up to speed on unfamiliar platforms and codebases quickly — including Android/Kotlin.
• Be customer-interested and product-minded—curious about what operators actually need, and willing to have a point of view on what we build.
• Collaborate closely with a small cross-functional team, biasing toward putting things in the hands of customers as fast as possible.
• Navigate diverse, unfamiliar codebases across the Toast platform and consistently deliver high-quality code on timeline.
• Demonstrate a high degree of ownership in all aspects of development — including the unglamorous parts: testing, instrumentation, on-call, and cleanup.
• Leverage cutting-edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building — contributing to a culture of innovation and productivity across the team.

Do you have the right ingredients*? (Requirements)

• A track record of shipping meaningful product to real users, with clear technical and business impact.
• Genuine fullstack range: you’ve owned features from backend service and API through to the client, and you have a real opinion about both ends.
• Solid backend fundamentals ( Java, Kotlin, or similar) — distributed systems, asynchronous communication, event-driven architecture, API design, and integration patterns.
• Comfort with modern web front-end development ( React or similar) and an eye for a usable interface.
• A credible track record of learning a new language, framework, or platform on the job and shipping production code in it.
• Demonstrated ability to deliver clean, maintainable, resilient code that withstands the test of time.
• Experience in 0→1 builds, and high comfort with shifting priorities and incomplete requirements.
• Strong communication and collaboration skills — you can write up a technical design, get alignment on it, and work well with product and design partners.
• A clear pattern of using AI tools to accelerate your work, and the ability to speak specifically about how you use them to ship better work faster.

Special sauce* (Nice to haves)

• Android development experience, particularly production Kotlin (or Java alongside it).
• You’ve worked on early-stage products, internal incubations, or rapid experimentation teams.
• Experience with point-of-sale, payments, hardware-adjacent, or offline-first systems.
• You’ve been the person on a team who fills whatever gap is open — and you enjoyed it.

AI at Toast

At Toast, one of our company values is that we’re hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy.

Zone A

$159,000—$254,000 USD

Zone B

$138,000—$221,000 USD

Zone C

$125,000—$200,000 USD

How Toast Uses AI in its Hiring Process

Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: https://careers.toasttab.com/ai-in-hiring

Our Approach to Hybrid Working

We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast

People Are the Secret Ingredient in Our Recipe for Success

At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other.

Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.

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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Why Blue Coding?

At Blue Coding, we specialize in hiring excellent developers and amazing people from all over Latin America and other parts of the world. For the past 11 years, we’ve helped cutting-edge companies in the United States and Canada build great development teams and develop great products. Large multinationals, digital agencies, Saas providers, and software consulting firms are just a few of our clients. Our team of over 150 engineers, project managers, QA, UX/UI designers, and many more is distributed in more than 10 countries across the Americas. We are a fully remote company working with a wide array of technologies, and we have expertise in every stage of the software development process.

Our team is highly connected, united, and culturally diverse, and our collaborators are involved in many initiatives around the world, from wildlife preservation to volunteering at local charities. We stand for honesty, fairness, respect, efficiency, hard work, and cooperation.

What are we looking for?

In this opportunity, we are looking for a Senior Front-end Developer to work with one of our foreign clients, who is a market leader in the consultation, design, procurement, implementation, and ongoing managed services for technology services for mid to large global enterprises. As a Telecom Managed Service company, they partner with over 300 service providers globally to help customers with technology design and find the best solutions to meet their needs.

If you are independent, a great communicator, a problem solver, and have strong attention to detail, this is a great fit for you! Our jobs are fully remote – as long as you have the skills and can get the work done well, you can work anywhere in the listed countries you want.

If you have the skills and can get the job done, join us and work from anywhere you want!

Here are some of the exciting day-to-day challenges you will face in this role:

• Design, develop, enhance, and maintain responsive, enterprise-grade web applications using

Vue.js and modern JavaScript/TypeScript.

• Build reusable, maintainable, and scalable Vue components and contribute to the organization’s in-

house UI framework and component library.

• Collaborate with UX/UI designers to translate designs into responsive, accessible, and consistent

user experiences, including implementation and documentation through Storybook.

• Participate in product and technical design discussions and provide recommendations regarding

front-end architecture, usability, performance, and implementation approaches.

• Integrate front-end applications with REST APIs and C#/.NET backend services.
• Develop clean, maintainable, well-structured code that follows established engineering standards

and best practices.

• Develop and maintain unit and integration tests and design solutions with testability in mind.
• Participate in peer code reviews and provide constructive technical feedback.
• Diagnose and resolve complex application, browser, integration, and performance issues.
• Optimize applications for performance, scalability, responsiveness, and user experience.
• Apply appropriate web accessibility standards to front-end development.
• Use GitHub for source control, pull requests, code reviews, and collaborative development.
• Work within Docker-based development environments as applicable.
• Utilize SQL Server/SSMS as needed to investigate data and troubleshoot application issues.
• Collaborate closely with QA to resolve defects and support the delivery of reliable, high-quality

software.

• Contribute to technical standards, development practices, documentation, and continuous

improvement.

• Provide technical guidance and mentorship to less-experienced developers when appropriate.

You will shine if you have:

• 6+ years of professional software development experience, with significant experience in front-

end application development.

• Strong professional experience developing applications with Vue.js.
• Strong proficiency in JavaScript and modern front-end development practices.
• Strong understanding of HTML5, CSS3, responsive design, and modern web development

principles.

• Experience developing reusable, component-based user interfaces.
• Strong experience integrating front-end applications with RESTful APIs.
• Experience with unit and integration testing.
• Experience with Git and GitHub, including pull requests and code reviews.
• Strong debugging, analytical, and problem-solving skills.
• Ability to independently analyze requirements, identify technical solutions, and deliver work with

limited direction.

• Experience working within an Agile/Scrum or Kanban environment.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with Software Developers, QA, Product, UX/UI, and other

stakeholders.

It doesn’t hurt if you also have:

• Professional experience with TypeScript.
• Experience with Storybook or similar component development and documentation tools.
• Experience working with C#/.NET backend services and APIs.
• Working knowledge of SQL Server and SSMS for data investigation and troubleshooting.
• Experience with Docker and containerized development environments.
• Knowledge of web performance optimization techniques and browser performance.
• Knowledge of WCAG and web accessibility standards.
• Experience contributing to or maintaining a shared UI framework or component library.
• Experience mentoring developers or providing technical guidance within an engineering team.

Here are some of the perks we offer you:

• Salary in USD
• Flexible schedule (within US Time zones)
• 100% Remote

Ready to learn more? Apply below!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Gusto

At Gusto, we’re on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the role

Owns full-stack features independently — from technical design through implementation, testing, and

production monitoring — with light oversight.

What you’ll do

• Design, build, and maintain features for the HRX Engineering (HR Experience) product surface

• Write clean, well-tested, maintainable code across the stack

• Participate in code review, sprint planning, and retros

• Partner with product and design to translate requirements into technical solutions

• Help monitor and improve the reliability, performance, and quality of shipped features

• Participate in on-call rotation and lead incident response for owned systems

• Provide technical guidance and code-review mentorship to less-tenured engineers

What we’re looking for

• 8+ years of professional software engineering experience, including full-stack work

• Demonstrated ability to design, build, and ship features spanning frontend, backend, and data layer with

minimal oversight

• Strong proficiency in at least one modern backend language/framework (e.g., Ruby on Rails, Node.js,

Python/Django) and one modern frontend framework (e.g., React, TypeScript)

• Solid understanding of relational databases — schema design, migrations, and query performance

• Comfortable owning a project end-to-end: scoping, technical design, implementation, testing,

deployment, and monitoring

• Strong grounding in software engineering fundamentals: data structures, algorithms, automated testing,

CI/CD

• Experience partnering cross-functionally with product managers, designers, and other engineers

• Clear written and verbal communication, including technical design docs

Nice to have

• Experience in HR tech, payroll, or fintech domains

• Experience designing REST or GraphQL APIs

• Exposure to accessibility (a11y) best practices

Our cash compensation amount for this role is targeted at $197,000–$247,000 for New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto’s subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto’s Applicant Privacy Notice.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

The Opportunity:

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.

The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points for:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building tools for data engineering.

How we work:

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

Compensation & Rewards:

In Germany, the Base compensation range for this role is EUR 109,709 - EUR 131,651.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

The Opportunity:

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.

The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points for:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building tools for data engineering.

How we work:

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

Compensation & Rewards:

In the Republic of Ireland, the Base compensation range for this role is EUR 117,600 - EUR 141,120.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

The Opportunity:

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.

The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points for:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building tools for data engineering.

How we work:

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

Compensation & Rewards:

In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

The Opportunity:

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.

The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points for:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building tools for data engineering.

How we work:

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.

The Opportunity:

At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.

The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
• Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users.
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points for:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
• Experience building tools for data engineering.

How we work:

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 103,958 - GBP 124,750.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About the Role:

The next generation of software won’t just be used by people — it’ll be built and shipped by agents. Builds are where that happens, and they’re the beating heart of Vercel. Whether an idea starts in v0, in an agent, or in an engineer’s editor, every customer builds — and millions of builds flow through our systems every day.

As an engineer on the Agentic Infrastructure team, you’ll take ownership of the systems that carry that work at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the workflows that Vercel, our customers, and their agents depend on are fast, resilient, and secure.

This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate the agentic infrastructure that determines how software actually ships.

We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer/agent experience, and are driven to have a lasting impact on how modern software gets built and delivered.

What You Will Do:

• Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs.
• Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight.
• Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience.
• Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows.
• Shape the long-term vision of agentic infrastructure at Vercel by setting standards for scalability, reliability, and developer productivity.
• Participate in the on-call rotation, taking responsibility for the reliability of critical systems.
• Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally.
• Write clean, efficient, tested, and well-documented code that others can build upon confidently.

About You:

• 3+ years of experience designing, building, and operating backend applications and distributed systems at scale.
• Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems.
• Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform)
• A track record of end-to-end ownership — from design and implementation through to long-term operation in production.
• Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals.
• Able to reason about technical direction and architectural tradeoffs, balancing long-term vision with pragmatic delivery.
• Invested in the people around you — through mentorship, code review, or simply raising the bar on how the team builds.
• Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped.

Bonus If You:

• Are familiar with React or Next.js
• Have experience with DynamoDB
• Have worked to develop a CI/CD platform or internal developer platform used by other engineers or by agents.
• Have experience contributing to, or participating in open-source projects.
• Have experience optimizing build systems for monorepos or polyrepo setups.
• Have experience with build caching, artifact storage, or dependency management at scale.

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The base pay range for this role is $196,000.00 - $294,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

#LI-KR1

Position Summary

The Service AI Transformation Team turns existing document data into AI‑powered services and integrations that streamline workflows across Natera’s clinical, commercial, and operational domains. As a Software Engineer III, you will implement features across the stack in a small, highly autonomous squad, applying modern serverless patterns, event streaming, and generative‑AI techniques to deliver reliable, scalable capabilities.

Responsibilities

Core Engineering

• Implement event‑driven transformation workflows and service integrations with AWS Lambda, Step Functions, S3, EventBridge, SNS/SQS, and Fargate, delivered through Infrastructure‑as‑Code (CDK or Terraform).
• Leverage cloud‑based foundation‑model APIs: Build AI transformation pipelines that orchestrate prompts, generate embeddings, and implement Retrieval‑Augmented Generation (RAG) patterns.
• Develop internal tooling and dashboards with React/Next.js backed by GraphQL APIs.
• Integrate with Kafka streams to exchange messages with domain microservices.

Quality & Reliability

• Contribute to AI‑focused testing—prompt regression suites, hallucination detection, evaluation harnesses—alongside unit, integration, and load tests.
• Instrument services with CloudWatch and Datadog and participate in CI/CD pipelines to ensure robust observability and dependable releases.

Collaboration & Growth

• Work closely with senior engineers and Product to break down requirements into well‑scoped technical tasks.
• Participate in design reviews, code reviews, and knowledge sharing to continually improve team velocity and quality.

Minimum Qualifications

• 4+ years of professional software engineering experience delivering production cloud services.
• Solid experience with AWS serverless architectures and event‑streaming patterns (Kafka).
• Proficiency with TypeScript/JavaScript, React/Next.js, and GraphQL.
• Hands‑on experience with AI Orchestration, guardrails, data validation and quality , prompt engineering, and RAG patterns.
• Familiarity with CI/CD and Infrastructure‑as‑Code (CDK/Terraform).

Preferred / Bonus

• Experience in healthcare, genomics, or other regulated domains.
• Exposure to vector search and semantic similarity techniques.
• Understanding of data privacy and compliance standards such as HIPAA.

Ready to unlock new AI‑powered workflows that transform how Natera operates? Join the Service AI Transformation Team and make an impact.

#LI-DNI

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$105,700—$132,100 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Senior Applied AI Engineer to join our Applied AI team. In this role, you will design, build, and operationalize production-ready AI and machine learning systems that deliver measurable business impact for enterprise customers. You will collaborate closely with Applied AI Solutions Architects, data scientists, data engineers, platform engineers, software engineers, and client stakeholders to turn solution designs into reliable implementations. You will help mature our engineering standards and reusable assets so phData can consistently deliver high-quality Applied AI solutions at scale.

Key Responsibilities

• Build and operationalize production-ready Applied AI and machine learning solutions, translating architecture designs and business requirements into clean, maintainable, well-tested code.
• Own the end-to-end implementation of AI applications and workflows across predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation.
• Drive the productionization of AI/ML systems by implementing robust data and model pipelines, deployment and inference patterns, observability, guardrails, and evaluation suites.
• Partner with architects, engineers, and business stakeholders to refine solution designs, clarify requirements, explain technical tradeoffs, and ensure solutions integrate effectively with enterprise data, applications, and workflows.
• Contribute to engineering excellence by troubleshooting complex issues, documenting systems and decisions, and creating reusable accelerators, reference implementations, and delivery playbooks for the Applied AI practice.

About You

You are a technically rigorous problem solver who enjoys building practical, production-ready AI solutions in an outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 5+ years of experience in AI/ML engineering, software engineering, data engineering, or a related technical discipline, including at least 3 years designing, building, deploying, or operating AI and machine learning solutions in production.

Technical / Functional Skills

• Strong programming experience in Python and solid working knowledge of SQL for building AI/ML pipelines, services, and applications.
• Proven experience building and productionizing AI/ML systems, including generative AI, LLM-powered applications, predictive ML, or MLOps solutions.
• Hands-on experience developing production software, APIs, services, and data or model pipelines that support training, inference, evaluation, monitoring, and retraining.
• Understanding of production AI/ML concerns such as evaluation, observability, security, governance, scalability, performance, cost optimization, and operational support.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, and contemporary AI frameworks and providers (for example, Anthropic or OpenAI).
• Ability to collaborate and communicate effectively with architects, engineers, data scientists, platform teams, business stakeholders, and client representatives in a consulting or client-facing delivery environment.

Education - If desired

Bachelor’s degree in relevant field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience building agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as the Model Context Protocol (MCP).
• Experience designing and deploying enterprise RAG systems, semantic retrieval solutions, AI applications, or intelligent workflow automation.
• Experience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex, and with LLM orchestration frameworks such as LangChain, LlamaIndex, or comparable tools.
• Experience with model registries, feature stores, data and model lineage, model monitoring, drift detection, AI evaluations, prompt management, AI gateways, and modern DevOps practices (containerization, infrastructure as code, CI/CD, APIs, distributed systems).
• Experience building reusable accelerators, modular architectures, or libraries deployed across multiple clients, plus industry exposure (for example, life sciences, retail, financial services, or manufacturing) or contributions to open-source projects and technical communities.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

At GFiber, we believe that great internet has the power to drive innovation, strengthen communities, enable the impossible, and do all the everyday things that make all of our world go round. And the job of creating better internet is never done - so we’re growing! Our team is committed to building a place where people who want to make a difference can grow their careers and find their spot to belong.

GFiber is an Alphabet company that brings Google Fiber and Google Fiber Webpass internet services to homes and businesses across the United States. Our teams are expanding as we connect more cities and people to exceptional internet.

The application window will be open until at least September 24th, 2026 This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

Role Description

We are seeking a Senior Platform Engineer to manage multiple critical enterprise applications, including but not limited to Netcracker, Alepo, and Axiros, on GCP. In this high-impact role, you will support cross-functional engineering teams by streamlining their deployment processes and providing a unified, reliable platform. You will be responsible for designing automated deployment pipelines, building upgrade scripts, and enhancing our GCP cloud infrastructure to ensure scalability. The ideal candidate possesses deep expertise in GCP, Terraform, Linux administration, and CI/CD methodologies, and thrives in a collaborative environment driving infrastructure-as-code standards.

In this role, you’ll:

• Architect and maintain scalable, reliable systems and applications on Google Cloud Platform (GCP) and Drive Infrastructure-as-Code (IaC) standards by developing and maintaining configurations with Terraform.
• Design and implement end-to-end CI/CD pipelines to accelerate software delivery and automation.
• Lead incident management, conduct Root Cause Analysis (RCA), and participate in on-call rotations to ensure high service availability.
• Collaborate with engineering teams to optimize system performance and prioritize resource rightsizing.
• Build and maintain internal developer platforms and tools that enhance engineering productivity.

At a minimum, we’d like you to have:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of direct experience in public cloud environments, including Kubernetes, VPC, and Cloud Run and expertise in infrastructure management and automation using Terraform , Ansible and SaltStack.
• 5 years of experience leading SDLC, CI/CD pipeline implementation, and supporting enterprise applications.
• 5 years of experience with Linux system internals, containerization,  building autonomous task workflows and establishing security guardrails.
• 2 years of experience coding in programming languages such as Python or Java.
• Familiarity with monitoring and logging ecosystems (e.g., GCP Monitoring, Prometheus, Datadog, Dynatrace, ELK) and diagnosing complex system-level issues.

It’s preferred if you have:

• Proven experience architecting and deploying solutions using AI/LLM stacks (Gemini, Vertex AI, ADK).
• 5 years of direct experience in GCP and managing multi-cloud environments
• Experience in application performance optimization for both stand-alone and distributed systems.
• Excellent analytical, communication, and cross-team collaboration skills.

The US base salary range for this full-time position is between $140,000 - $200,800 + bonus + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

GFiber is committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, citizenship, marital status, disability or Veteran status. Disclosure is voluntary, and this information will be kept confidential in compliance with Google’s Candidate Privacy Policy. For more information please refer to our Equal Employment Opportunity Policy and the EEOC’s “Know your rights: workplace discrimination is illegal” (PDF).

It’s important to us to create an accessible, inclusive workplace for everyone. If you have a need that requires accommodation, please let us know by completing ouraccommodations for applicants form. Our candidate accommodations team will then connect with you to confidentially discuss your options.

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At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.