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Leads a team of forward-deployed engineers building full-stack digital solutions across manufacturing sites, managing technical strategy, delivery, and people development.
At Re:Build, our mission is to ensure the next generation of important products are made, at scale, in America. We are laying the foundation for a better future for our customers, employees, and communities by revitalizing Americaâs manufacturing base and creating meaningful jobs across the country, including in historically deindustrialized regions.
We operate an advanced, end-to-end manufacturing platform that partners with industrial companies and innovators to take products from first concept to full-scale production in critical verticals including aerospace and defense, electrification, medical, energy and environment, and robotics and automation.
The way we operate is as important as the work we do. Itâs guided by The Re:Build Way, 16 principles that shape how we collaborate with each other, partner with our customers and vendors, and contribute to the communities where we operate. (link to The Re:Build Way principles )
The Director, Forward Deployed Engineering is a hands-on leadership role in Re:Build Manufacturingâs Digital Innovation Group (DIG). This role reflects the organizationâs belief that digital innovation is key to scaling as a premier industrial company. In this position, the Director is responsible for hiring, leading, and developing a team of Forward Deployed Engineers (FDEs) who are embedded across Re:Build sites and Resource Center functions, implementing full-stack digital solutions that solve real-world business problems and drive measurable business impact. Success in the role depends on the ability to build trust, ensure alignment, and partner effectively with internal stakeholders throughout the entire product lifecycle. The ideal candidate combines a strong software engineering background with proven experience managing software delivery and solution engineering that directly serves customers. They bring deep technical credibility, strong people leadership skills, and the judgment needed to keep engagements well prioritized and delivered quickly.
What you get to do
What you bring to the Team
The BIG payoff
We are a company who is going to make a difference in the industries and the communities in which we choose to operate. Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!
We want to work with people that reflect the communities in which we operate
Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.
Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.
Designs and manages enterprise data platforms, lakehouse architectures, and data pipelines while leading teams on data governance, quality, and compliance.
\*\*\* This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
\*\*\* Câest ici que votre organisation peut crĂ©er une introduction cohĂ©rente Ă tous vos emplois, en crĂ©ant une cohĂ©rence dans la voix et la messagerie dans tous les postes.
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Lead Data Engineer to join our innovative and dynamic team.
Lead Data Engineer | About You
As a Lead Data Engineer, you will be responsible for designing, building, and managing the organizationâs modern data platform, ensuring reliable, secure, and scalable data products that support analytics, reporting, and AI-driven business initiatives. You will lead the development of enterprise data pipelines, lakehouse architecture, and governance frameworks while partnering closely with AI/ML, platform engineering, and security teams. The ideal candidate combines deep expertise in data engineering, data modeling, cloud-based architectures, and data governance with a strong focus on reliability, observability, and regulatory compliance.
Lead Data Engineer | Day-to-Day
Lead Data Engineer | Skills & Experience
\*\*\* Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
\*\*\* Semblable Ă lâintroduction qui peut prĂ©cĂ©der toutes les descriptions de poste, une outro peut Ă©galement ĂȘtre formatĂ©e pour la cohĂ©rence sur tous les messages
Staff-level engineer who writes production code, leads technical projects, mentors engineers, and shapes architectural decisions across multiple technology stacks.
At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, weâre proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe.
Our work spans strategy, design, and engineering â often in complex, AI-driven environments â where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands whatâs possible. Care shapes everything we do.
Inside Fluxon, youâll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. Weâre building a place where people can take ownership, solve problems that matter and do work theyâre proud to stand behind. If you want to do your best work alongside people who care as much as you do, youâll feel at home here.
This role is fully remote, with candidates based in Buenos Aires, Argentina.
As a Staff Software Engineer at Fluxon, youâll play a key role in shaping the technical direction of our engineering organization. This is a highly senior, hands-on leadership position where youâll partner closely with company and engineering leadership to influence strategy, guide architectural decisions, and elevate our overall engineering practice. All Staff Engineers write production code, and everyone joins Fluxon as an individual contributor before stepping into project leadership or management.
Youâll be responsible for:
Youâll work with a diversity of technologies, including:
Core Languages & Runtimes
Frameworks & Ecosystems
Cloud & Infrastructure
Data & Messaging Services
Data Stores
Advanced Technologies & Architecture
We believe diverse teams perform better, and an inclusive environment is essential to building a successful organization. We welcome applicants from all backgrounds, experiences, and perspectives. We are an equal opportunity employer and are committed to providing accommodations throughout the hiring process.
This role uses AI-assisted tools to support initial screening. All assessments and decisions are made by a human reviewer.
Technical Lead designs and manages GPU infrastructure, Kubernetes deployment, and managed inference platform architecture for Tether's AI compute services.
Join Tether and Shape the Future of Digital Finance
At Tether, weâre not just building products, weâre pioneering a global financial revolution. Our cutting-edge solutions empower businessesâfrom exchanges and wallets to payment processors and ATMsâto seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the worldâs most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But thatâs just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If youâre passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. Weâve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
Cosmic AC is Tether Dataâs GPU compute and managed inference platform: GPU containers, managed inference endpoints and platform observability, delivered as a self-hosted package on Kubernetes, with a control plane written in JavaScript. The platform is expanding from orchestrating workloads on a managed cluster to owning the full stack on bare-metal GPU infrastructure: a managed Slurm scheduling layer for internal research and model-training teams first, and our own Kubernetes control plane for inference tenancy after that.
The Technical Lead owns the architecture and delivery of that stack and leads the engineering team building it: about twelve engineers across backend, frontend, DevOps, QA and documentation, distributed across Europe and India. The role reports to the Senior Technical Product Manager for Cosmic AC, who owns scope, sequencing and partner commitments; the Technical Lead owns architecture, implementation and delivery plans, line-manages the engineers, and is the primary technical interface to our infrastructure partners.
This is a hands-on infrastructure leadership role with a fixed delivery window in its first six months. It is not a research role, not a pure Kubernetes SRE role, and not a management-only role.
Responsibilities
Architecture. Own the platform architecture end to end: architecture proposals, high-level and low-level designs, driven through review and kept current as the baseline.
Team leadership. Lead and line-manage a distributed team across backend (Node.js), frontend (React), DevOps, QA and documentation: engineering standards, code and design review, release gates, one-to-ones, growth and performance input.
Bare-metal GPU scheduling layer. Design, build and operate a managed Slurm service for research users: controller and accounting, partitions and login nodes, node onboarding and acceptance, driver and CUDA baseline and upgrades, stalled-job and node-health detection, drain and autohealing, storage visibility, identity and isolation.
Kubernetes control plane and GPU enablement. Own cluster bootstrap and lifecycle on partner-provided bare metal, NVIDIA GPU Operator and Network Operator, VM-based GPU isolation (KubeVirt and VFIO), and day-2 operations: upgrades, backup and recovery, node replacement.
Managed inference at scale. Serving architecture, multi-GPU and multi-node parallelism, autoscaling, request routing and endpoint reliability; confidential-compute-capable capacity for sensitive workloads.
Observability and operations. Metrics, logging, alerting and SLOs across control plane, GPU fleet and application tiers; incident response and post-incident review; an on-call model a small team can sustain.
Partners and vendors. Primary technical interface to infrastructure partners and vendors: turning requirements into written specifications and acceptance tests, running escalations to closure, and providing technical input to capacity planning and hardware sourcing.
Internal consumers. Work directly with research, model-training and product teams to translate their workloads into platform requirements, and broker capacity when it is short.
Hiring. Complete the platform team and set the technical bar for the engineers who join it.
Must have
Experience. Eight or more years of hands-on engineering, including at least three leading teams that build and operate infrastructure platforms other teams depend on. Bachelorâs or Masterâs degree in computer science or engineering, or equivalent practical experience.
Slurm at scale, hands on. Has run slurmctld and slurmdbd for real users: partitions, QoS and priority, accounting, prolog and epilog, node health scripting, upgrades with jobs on the system. Ideally has operated an HPC or GPU training cluster for a research population.
GPU fleet operation on bare metal. NVIDIA driver and CUDA lifecycle, Fabric Manager and NVSwitch behaviour on SXM systems, DCGM-based health and utilisation, MIG, node burn-in and acceptance.
High-performance interconnects. InfiniBand fabric and subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL performance problems.
Linux systems depth. Kernel modules and drivers, PCIe passthrough and vfio-pci, cgroups and namespaces, performance tuning for compute-heavy workloads.
Production Kubernetes operation, not just deployment: control plane, upgrades, CNI and CSI, operators and custom controllers, multi-tenancy design.
HPC storage and data movement. Shared filesystems (VAST, Lustre, NFS), node-local NVMe caching, distributing large model weights and datasets across many nodes.
Observability and operations. Prometheus, Grafana and Loki or equivalents, SLOs, incident response and post-incident review.
Working fluency in JavaScript and Node.js sufficient to review a control plane, CLI and worker services with authority and to make architecture decisions on them. Not a feature-development requirement.
A shipped platform with real users. A multi-tenant IaaS or PaaS, or a research computing service: resource isolation, quotas, usage metering, and user-facing API and CLI surfaces.
Leadership that stays in the code. People management across time zones, cross-track review, written architecture decisions with alternatives recorded, and the ability to tell a partner or an executive no with reasons.
Excellent written and spoken English. Most partner and leadership work happens in writing.
Location. Fully remote, based between UTC and UTC+5:30 so the working day overlaps both Europe and India, where the team and its partners work. Occasional travel to partner sites and team events.
Desirable
Slurm operators on Kubernetes (Soperator, Slinky) or Kubernetes-native schedulers (Kueue, Volcano, KAI, Kubeflow Trainer).
Modern serving stacks (vLLM, SGLang, TensorRT-LLM): parallelism strategies, quantisation trade-offs, GPU memory planning.
VM and container isolation for multi-tenant GPU compute (KubeVirt, Kata Containers, QEMU and KVM, Firecracker); confidential computing (Intel TDX, AMD SEV-SNP, NVIDIA confidential-compute mode).
Cluster API and kubeadm, Cilium, NVSentinel-class autohealing, infrastructure as code and GitOps.
Time on the operator side of a GPU cloud, a national or university HPC centre, or an AI labâs platform team.
Peer-to-peer or distributed-systems background.
Experience with a hardware provider who provisions but does not operate, and turning that relationship into a written contract with acceptance tests.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiterâs identity. All our recruiters have verified LinkedIn profiles. If youâre unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Technical lead who designs and manages GPU infrastructure and Kubernetes-based compute platforms for AI inference and containerized workloads.
Join Tether and Shape the Future of Digital Finance
At Tether, weâre not just building products, weâre pioneering a global financial revolution. Our cutting-edge solutions empower businessesâfrom exchanges and wallets to payment processors and ATMsâto seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the worldâs most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But thatâs just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If youâre passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. Weâve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
Cosmic AC is Tether Dataâs GPU compute and managed inference platform: GPU containers, managed inference endpoints and platform observability, delivered as a self-hosted package on Kubernetes, with a control plane written in JavaScript. The platform is expanding from orchestrating workloads on a managed cluster to owning the full stack on bare-metal GPU infrastructure: a managed Slurm scheduling layer for internal research and model-training teams first, and our own Kubernetes control plane for inference tenancy after that.
The Technical Lead owns the architecture and delivery of that stack and leads the engineering team building it: about twelve engineers across backend, frontend, DevOps, QA and documentation, distributed across Europe and India. The role reports to the Senior Technical Product Manager for Cosmic AC, who owns scope, sequencing and partner commitments; the Technical Lead owns architecture, implementation and delivery plans, line-manages the engineers, and is the primary technical interface to our infrastructure partners.
This is a hands-on infrastructure leadership role with a fixed delivery window in its first six months. It is not a research role, not a pure Kubernetes SRE role, and not a management-only role.
Responsibilities
Architecture. Own the platform architecture end to end: architecture proposals, high-level and low-level designs, driven through review and kept current as the baseline.
Team leadership. Lead and line-manage a distributed team across backend (Node.js), frontend (React), DevOps, QA and documentation: engineering standards, code and design review, release gates, one-to-ones, growth and performance input.
Bare-metal GPU scheduling layer. Design, build and operate a managed Slurm service for research users: controller and accounting, partitions and login nodes, node onboarding and acceptance, driver and CUDA baseline and upgrades, stalled-job and node-health detection, drain and autohealing, storage visibility, identity and isolation.
Kubernetes control plane and GPU enablement. Own cluster bootstrap and lifecycle on partner-provided bare metal, NVIDIA GPU Operator and Network Operator, VM-based GPU isolation (KubeVirt and VFIO), and day-2 operations: upgrades, backup and recovery, node replacement.
Managed inference at scale. Serving architecture, multi-GPU and multi-node parallelism, autoscaling, request routing and endpoint reliability; confidential-compute-capable capacity for sensitive workloads.
Observability and operations. Metrics, logging, alerting and SLOs across control plane, GPU fleet and application tiers; incident response and post-incident review; an on-call model a small team can sustain.
Partners and vendors. Primary technical interface to infrastructure partners and vendors: turning requirements into written specifications and acceptance tests, running escalations to closure, and providing technical input to capacity planning and hardware sourcing.
Internal consumers. Work directly with research, model-training and product teams to translate their workloads into platform requirements, and broker capacity when it is short.
Hiring. Complete the platform team and set the technical bar for the engineers who join it.
Must have
Experience. Eight or more years of hands-on engineering, including at least three leading teams that build and operate infrastructure platforms other teams depend on. Bachelorâs or Masterâs degree in computer science or engineering, or equivalent practical experience.
Slurm at scale, hands on. Has run slurmctld and slurmdbd for real users: partitions, QoS and priority, accounting, prolog and epilog, node health scripting, upgrades with jobs on the system. Ideally has operated an HPC or GPU training cluster for a research population.
GPU fleet operation on bare metal. NVIDIA driver and CUDA lifecycle, Fabric Manager and NVSwitch behaviour on SXM systems, DCGM-based health and utilisation, MIG, node burn-in and acceptance.
High-performance interconnects. InfiniBand fabric and subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL performance problems.
Linux systems depth. Kernel modules and drivers, PCIe passthrough and vfio-pci, cgroups and namespaces, performance tuning for compute-heavy workloads.
Production Kubernetes operation, not just deployment: control plane, upgrades, CNI and CSI, operators and custom controllers, multi-tenancy design.
HPC storage and data movement. Shared filesystems (VAST, Lustre, NFS), node-local NVMe caching, distributing large model weights and datasets across many nodes.
Observability and operations. Prometheus, Grafana and Loki or equivalents, SLOs, incident response and post-incident review.
Working fluency in JavaScript and Node.js sufficient to review a control plane, CLI and worker services with authority and to make architecture decisions on them. Not a feature-development requirement.
A shipped platform with real users. A multi-tenant IaaS or PaaS, or a research computing service: resource isolation, quotas, usage metering, and user-facing API and CLI surfaces.
Leadership that stays in the code. People management across time zones, cross-track review, written architecture decisions with alternatives recorded, and the ability to tell a partner or an executive no with reasons.
Excellent written and spoken English. Most partner and leadership work happens in writing.
Location. Fully remote, based between UTC and UTC+5:30 so the working day overlaps both Europe and India, where the team and its partners work. Occasional travel to partner sites and team events.
Desirable
Slurm operators on Kubernetes (Soperator, Slinky) or Kubernetes-native schedulers (Kueue, Volcano, KAI, Kubeflow Trainer).
Modern serving stacks (vLLM, SGLang, TensorRT-LLM): parallelism strategies, quantisation trade-offs, GPU memory planning.
VM and container isolation for multi-tenant GPU compute (KubeVirt, Kata Containers, QEMU and KVM, Firecracker); confidential computing (Intel TDX, AMD SEV-SNP, NVIDIA confidential-compute mode).
Cluster API and kubeadm, Cilium, NVSentinel-class autohealing, infrastructure as code and GitOps.
Time on the operator side of a GPU cloud, a national or university HPC centre, or an AI labâs platform team.
Peer-to-peer or distributed-systems background.
Experience with a hardware provider who provisions but does not operate, and turning that relationship into a written contract with acceptance tests.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiterâs identity. All our recruiters have verified LinkedIn profiles. If youâre unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Technical Lead manages GPU infrastructure, Kubernetes deployment, and platform observability for a distributed compute and inference platform.
Join Tether and Shape the Future of Digital Finance
At Tether, weâre not just building products, weâre pioneering a global financial revolution. Our cutting-edge solutions empower businessesâfrom exchanges and wallets to payment processors and ATMsâto seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the worldâs most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But thatâs just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If youâre passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. Weâve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
Cosmic AC is Tether Dataâs GPU compute and managed inference platform: GPU containers, managed inference endpoints and platform observability, delivered as a self-hosted package on Kubernetes, with a control plane written in JavaScript. The platform is expanding from orchestrating workloads on a managed cluster to owning the full stack on bare-metal GPU infrastructure: a managed Slurm scheduling layer for internal research and model-training teams first, and our own Kubernetes control plane for inference tenancy after that.
The Technical Lead owns the architecture and delivery of that stack and leads the engineering team building it: about twelve engineers across backend, frontend, DevOps, QA and documentation, distributed across Europe and India. The role reports to the Senior Technical Product Manager for Cosmic AC, who owns scope, sequencing and partner commitments; the Technical Lead owns architecture, implementation and delivery plans, line-manages the engineers, and is the primary technical interface to our infrastructure partners.
This is a hands-on infrastructure leadership role with a fixed delivery window in its first six months. It is not a research role, not a pure Kubernetes SRE role, and not a management-only role.
Responsibilities
Architecture. Own the platform architecture end to end: architecture proposals, high-level and low-level designs, driven through review and kept current as the baseline.
Team leadership. Lead and line-manage a distributed team across backend (Node.js), frontend (React), DevOps, QA and documentation: engineering standards, code and design review, release gates, one-to-ones, growth and performance input.
Bare-metal GPU scheduling layer. Design, build and operate a managed Slurm service for research users: controller and accounting, partitions and login nodes, node onboarding and acceptance, driver and CUDA baseline and upgrades, stalled-job and node-health detection, drain and autohealing, storage visibility, identity and isolation.
Kubernetes control plane and GPU enablement. Own cluster bootstrap and lifecycle on partner-provided bare metal, NVIDIA GPU Operator and Network Operator, VM-based GPU isolation (KubeVirt and VFIO), and day-2 operations: upgrades, backup and recovery, node replacement.
Managed inference at scale. Serving architecture, multi-GPU and multi-node parallelism, autoscaling, request routing and endpoint reliability; confidential-compute-capable capacity for sensitive workloads.
Observability and operations. Metrics, logging, alerting and SLOs across control plane, GPU fleet and application tiers; incident response and post-incident review; an on-call model a small team can sustain.
Partners and vendors. Primary technical interface to infrastructure partners and vendors: turning requirements into written specifications and acceptance tests, running escalations to closure, and providing technical input to capacity planning and hardware sourcing.
Internal consumers. Work directly with research, model-training and product teams to translate their workloads into platform requirements, and broker capacity when it is short.
Hiring. Complete the platform team and set the technical bar for the engineers who join it.
Must have
Experience. Eight or more years of hands-on engineering, including at least three leading teams that build and operate infrastructure platforms other teams depend on. Bachelorâs or Masterâs degree in computer science or engineering, or equivalent practical experience.
Slurm at scale, hands on. Has run slurmctld and slurmdbd for real users: partitions, QoS and priority, accounting, prolog and epilog, node health scripting, upgrades with jobs on the system. Ideally has operated an HPC or GPU training cluster for a research population.
GPU fleet operation on bare metal. NVIDIA driver and CUDA lifecycle, Fabric Manager and NVSwitch behaviour on SXM systems, DCGM-based health and utilisation, MIG, node burn-in and acceptance.
High-performance interconnects. InfiniBand fabric and subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL performance problems.
Linux systems depth. Kernel modules and drivers, PCIe passthrough and vfio-pci, cgroups and namespaces, performance tuning for compute-heavy workloads.
Production Kubernetes operation, not just deployment: control plane, upgrades, CNI and CSI, operators and custom controllers, multi-tenancy design.
HPC storage and data movement. Shared filesystems (VAST, Lustre, NFS), node-local NVMe caching, distributing large model weights and datasets across many nodes.
Observability and operations. Prometheus, Grafana and Loki or equivalents, SLOs, incident response and post-incident review.
Working fluency in JavaScript and Node.js sufficient to review a control plane, CLI and worker services with authority and to make architecture decisions on them. Not a feature-development requirement.
A shipped platform with real users. A multi-tenant IaaS or PaaS, or a research computing service: resource isolation, quotas, usage metering, and user-facing API and CLI surfaces.
Leadership that stays in the code. People management across time zones, cross-track review, written architecture decisions with alternatives recorded, and the ability to tell a partner or an executive no with reasons.
Excellent written and spoken English. Most partner and leadership work happens in writing.
Location. Fully remote, based between UTC and UTC+5:30 so the working day overlaps both Europe and India, where the team and its partners work. Occasional travel to partner sites and team events.
Desirable
Slurm operators on Kubernetes (Soperator, Slinky) or Kubernetes-native schedulers (Kueue, Volcano, KAI, Kubeflow Trainer).
Modern serving stacks (vLLM, SGLang, TensorRT-LLM): parallelism strategies, quantisation trade-offs, GPU memory planning.
VM and container isolation for multi-tenant GPU compute (KubeVirt, Kata Containers, QEMU and KVM, Firecracker); confidential computing (Intel TDX, AMD SEV-SNP, NVIDIA confidential-compute mode).
Cluster API and kubeadm, Cilium, NVSentinel-class autohealing, infrastructure as code and GitOps.
Time on the operator side of a GPU cloud, a national or university HPC centre, or an AI labâs platform team.
Peer-to-peer or distributed-systems background.
Experience with a hardware provider who provisions but does not operate, and turning that relationship into a written contract with acceptance tests.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiterâs identity. All our recruiters have verified LinkedIn profiles. If youâre unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Senior Staff Software Engineer designs and builds full-stack platform capabilities for benefits applications, focusing on scalable systems and AI-driven interfaces.
About Gusto
At Gusto, weâre on a mission to grow the small business economy. We handle the hard stuff â payroll, health insurance, 401(k)s, and HR â 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) â 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
As a Staff Software Engineer on the Benefits Advisory team, you will be directly accountable for key architectural improvements to Gustoâs benefits platform. This is a full-stack role where you will design and build platform capabilities that enable customers to explore, apply for, and maintain their benefits within your product area.
Your work will focus on transforming our benefits opportunity, shopping and renewal flows, creating clear system boundaries that enable efficient reuse and increased scalability, allowing the ability to offer a wider variety of products more quickly. You will design services that continue to scale the organization, with an emphasis on enabling novel AI-driven interfaces to deliver a delightful benefits shopping experience.
Youâll operate at the intersection of marketing, sales, operations and engineering. If you are passionate about building highly scalable systems that can reason, predict, and personalize to unlock Gusto Benefitsâ next phase of sustainable growth, weâd love to have you join our team.
About the Team
The Benefits Advisory team is building the next generation of infrastructure that powers benefits applications, making it easier than ever to give customers access to the absolute best benefits for their needs.
Our mission is to build a robust system that informs our customers of the most relevant benefits options, making it easier than ever to confidently fulfill benefits that fit our customers current and future needs. Weâre building a world-class technology platform designed to understand customer context in real-time, and continuously improve through data and feedback. This means rapid experimentation, fast learning, and strong cross-functional partnership.
We prioritize quality, observability, and uptime because these intelligent systems are fundamental to Gustoâs growth and brand. We partner closely with Marketing, Sales, and Operations to build and connect the AI-powered tools they use every day.
Hereâs what youâll do day-to-day:
Build innovative AI interfaces to best assist our customers
Hereâs what weâre looking for:
Compensation
Our cash compensation amount for this role is targeted at $191,000/yr to $225,000/yr in Denver & most remote locations, and $225,000/yr to $265,000/yr for San Francisco, Seattle & New York. Stock equity is additional. 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, Gustoâs 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 itâs 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 Gustoâs Applicant Privacy Notice.
Staff engineer who writes production code, guides architectural decisions, mentors teams, and leads technical strategy across AI-driven projects.
At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, weâre proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe.
Our work spans strategy, design, and engineering â often in complex, AI-driven environments â where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands whatâs possible. Care shapes everything we do.
Inside Fluxon, youâll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. Weâre building a place where people can take ownership, solve problems that matter and do work theyâre proud to stand behind. If you want to do your best work alongside people who care as much as you do, youâll feel at home here.
This role is fully remote, with candidates based in Buenos Aires, Argentina.
As a Staff Software Engineer at Fluxon, youâll play a key role in shaping the technical direction of our engineering organization. This is a highly senior, hands-on leadership position where youâll partner closely with company and engineering leadership to influence strategy, guide architectural decisions, and elevate our overall engineering practice. All Staff Engineers write production code, and everyone joins Fluxon as an individual contributor before stepping into project leadership or management.
Youâll be responsible for:
Youâll work with a diversity of technologies, including:
Core Languages & Runtimes
Frameworks & Ecosystems
Cloud & Infrastructure
Data & Messaging Services
Data Stores
Advanced Technologies & Architecture
We believe diverse teams perform better, and an inclusive environment is essential to building a successful organization. We welcome applicants from all backgrounds, experiences, and perspectives. We are an equal opportunity employer and are committed to providing accommodations throughout the hiring process.
This role uses AI-assisted tools to support initial screening. All assessments and decisions are made by a human reviewer.
Designs and manages scalable data platforms, pipelines, and governance frameworks while leading cross-functional teams on data architecture and AI-driven initiatives.
\*\*\* This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
\*\*\* Câest ici que votre organisation peut crĂ©er une introduction cohĂ©rente Ă tous vos emplois, en crĂ©ant une cohĂ©rence dans la voix et la messagerie dans tous les postes.
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Lead Data Engineer to join our innovative and dynamic team.
Lead Data Engineer | About You
As a Lead Data Engineer, you will be responsible for designing, building, and managing the organizationâs modern data platform, ensuring reliable, secure, and scalable data products that support analytics, reporting, and AI-driven business initiatives. You will lead the development of enterprise data pipelines, lakehouse architecture, and governance frameworks while partnering closely with AI/ML, platform engineering, and security teams. The ideal candidate combines deep expertise in data engineering, data modeling, cloud-based architectures, and data governance with a strong focus on reliability, observability, and regulatory compliance.
Lead Data Engineer | Day-to-Day
Lead Data Engineer | Skills & Experience
\*\*\* Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
\*\*\* Semblable Ă lâintroduction qui peut prĂ©cĂ©der toutes les descriptions de poste, une outro peut Ă©galement ĂȘtre formatĂ©e pour la cohĂ©rence sur tous les messages
Staff-level software engineer who guides technical strategy, leads projects, mentors engineers, and writes production code across AI-driven and complex systems.
At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, weâre proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe.
Our work spans strategy, design, and engineering â often in complex, AI-driven environments â where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands whatâs possible. Care shapes everything we do.
Inside Fluxon, youâll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. Weâre building a place where people can take ownership, solve problems that matter and do work theyâre proud to stand behind. If you want to do your best work alongside people who care as much as you do, youâll feel at home here.
This role is fully remote, with candidates based in Buenos Aires, Argentina.
As a Staff Software Engineer at Fluxon, youâll play a key role in shaping the technical direction of our engineering organization. This is a highly senior, hands-on leadership position where youâll partner closely with company and engineering leadership to influence strategy, guide architectural decisions, and elevate our overall engineering practice. All Staff Engineers write production code, and everyone joins Fluxon as an individual contributor before stepping into project leadership or management.
Youâll be responsible for:
Youâll work with a diversity of technologies, including:
Core Languages & Runtimes
Frameworks & Ecosystems
Cloud & Infrastructure
Data & Messaging Services
Data Stores
Advanced Technologies & Architecture
We believe diverse teams perform better, and an inclusive environment is essential to building a successful organization. We welcome applicants from all backgrounds, experiences, and perspectives. We are an equal opportunity employer and are committed to providing accommodations throughout the hiring process.
This role uses AI-assisted tools to support initial screening. All assessments and decisions are made by a human reviewer.
Design and scale backend data infrastructure systems, PostgreSQL schemas, and event pipelines for a clinical brain data platform.
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, weâre changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking a Software Engineer IV to join our Datastore team. The Datastore sits at the heart of Beaconâs platform. It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners.
This role emphasizes the design and scaling of backend systems for data infrastructure: PostgreSQL data models, Kafka-driven event pipelines, and the GraphQL API that makes scientific and clinical data usable - distinct from frontend development or end-user product surfaces. At this level you will lead the design of complex systems within the Datastore rather than individual components, own the pipelines that deliver dataset snapshots into our warehouse, and collaborate across platform, application and scientific teams to implement APIs that unlock new workflows in Beaconâs expanding portfolio of clinical studies and digital health products.
You should have experience writing complex SQL queries by hand, and should be prepared to reason about schema design, indexes, and query behavior as a matter of course.
Two properties of our system that shape our work may influence your application. Our GraphQL API is generated from the PostgreSQL schema using PostGraphile, so a schema decision is an API decision. Secondly, row-level security is in force on effectively every table, because clinical data from different studies and partners shares one schema, with some rows shared for access by multiple internal teams. RLS predicates get injected into your queries, which makes reasoning about query plans genuinely harder here than it is in most places. If that sounds interesting rather than tedious, youâll enjoy this team.
We are hiring two engineers into this role, with two different centers of gravity. One will focus on the breadth of the Datastore: the event pipelines, the GraphQL API, core data models, and third-party integrations. The other will focus on depth in PostgreSQL (data modeling, performance tuning, operations) and supporting all engineers in developing schemas and the access controls that protect clinical data. The core requirements are the same. Tell us which one you are most drawn to in your application.
This role is 100% remote from anywhere in the U.S. Beaconâs robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City, and Paris.
For the Datastore Systems role:
For the PostgreSQL & Data Modeling role:
We donât expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, weâd love to hear from you!
The US-based salary range for this role is $170,000 â $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, weâve found that cultural and scientific impact is driven most by those that lead by example. As such, weâre always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Lead developer rebuilds and modernizes a legacy SaaS platform, choosing tech stack, architecting systems, and migrating customers incrementally while scaling operations.
Headquarters: Oakland, CA
URL: https://www.trackitforward.com
We are looking for a lead developer to do a greenfield rebuild of our legacy SaaS app, modernize our mobile apps, and lead the tech effort to scale our app. You will help choose the language, build the technical foundation, work with our product manager to rebuild the app, and migrate all customers over.
About Track it Forward Track it Forward is the leading volunteer time-tracking application for nonprofits and schools. For 15 years, weâve helped thousands of organizations mobilize volunteers and track over 30 million hours. We are a profitable, bootstrapped team of 4 focused on great work-life balance, high-impact work, and a fun, puzzle-loving culture (daily crosswords, monthly virtual escape rooms, and annual retreats). We are not a VC-funded startup. We grew organically, stayed profitable, and prioritize high-quality work and personal fulfillment without growth-at-all-costs pressure. The team is led by the original founder and developer.
The Modernization Strategy This is a structured, phased "small bang" migrationânot a high-risk cutover or a strangler-fig migration. You will build a parallel greenfield system, extract legacy components step-by-step, and migrate customers over incrementally tenant-by-tenant while keeping operations running smoothly.
Current Tech: Drupal 6 architecture hosted on Pantheon, paired with two Ionic/Capacitor mobile apps.
Your Scope: Complete ownership of the technical architecture. You will partner with our product manager, establish engineering processes, and lead the rebuild from scratch.
Modern AI practices:Â We want you to be on the cusp of AI workflows while also balancing human guardrails to produce quality code.
Team Structure: You will be our sole developer in the short term, taking full technical helm as we scale.
Target Stack & Responsibilities
Core Tech Stack: Core backend/frontend rebuild focused on Python/Django, Laravel, or React. You will make the final architectural call with input from the CEO/founder.
Database & Storage Extraction: Deconstruct our legacy Drupal 6 / MySQL schema into a clean, domain-driven PostgreSQL database, and offload 100GB+ of media files to AWS S3 or Cloudflare R2.
Security & Isolation: Implement application-layer field-level encryption (AES-256 for PII, Bcrypt/Argon2id for passwords) and build zero-trust dev environments so contractors never handle production user data.
CI/CD & Documentation: Establish automated testing pipelines, clean API contracts, and clear runbooks so the codebase remains maintainable long-term.
Mobile App Maintenance: Maintain and update our two Ionic/Capacitor mobile apps using AI coding tools. Mobile is a small fraction of the overall roleâyou just need to leverage AI to keep them functional without being a native mobile expert.
Candidate Qualifications
Pre-AI Engineering Foundation: 5+ years of core software engineering and architectural experience established before generative AI existed. You hold strong first-principles opinions on database normalization and system patterns.
Proven Migration Experience: You have successfully architected and led at least one legacy monolith migration. You know what inputs and scope decisions keep momentum going.
Modernized AI Velocity: You actively use AI tools to multiply output, but retain strict architectural control, unit testing discipline, and manual code review standards.
Location & Remote Flexibility
US W-2 Tax Residency Required: You must be legally authorized to work in the US and maintain primary US tax residency (for payroll, contracts, and legal/tax compliance).
Travel-Friendly: We are 100% remote. As long as your primary legal/tax home remains in the US, you are welcome to travel or digital nomadâprovided you can consistently hit our core sync hours.
Core Sync Hours: Mandatory availability from 9:00 AM â 12:00 PM PST for daily team syncs and real-time collaboration. Flexible hours outside this window.
Compensation & Benefits
Base Salary: $150,000 â $200,000 / year (commensurate with experience)
Benefits: 401(k) w/ company match, Health Insurance, vacation, PTO, and holdiays
Culture: High autonomy, direct project ownership, and zero venture-capital growth pressure
How to Apply To filter out automated spam: include the most authentically human, non-AI reason why this specific role resonates with you. Specifically include a short Loom video of you in the âWhy should we choose you over any one else?â question. This isnât required but will sure stand out. Be authentic, no need to do crazy rehearsals, just be you.
Apply at this google form here
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Staff engineer designs and leads development of a next-generation data platform supporting real-time analytics, ETL processes, and ML initiatives using Kafka, ClickHouse, and Snowflake.
Vercel is the agentic infrastructure company. We free people and agents to ship whatâs 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 youâre building our products, supporting our customers, growing our community, or shaping our story, youâll help define what comes next.
Weâre looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives.
Reporting directly to the Senior Director of Data Engineering, youâll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.
Youâll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If youâre excited by the challenge of building scalable data systems that drive product innovation, weâd love to hear from you.
The San Francisco, CA base pay range for this role is $232,000 - $348,000. 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 donât necessarily check every box on the job description.
Staff ML Engineer who develops and owns machine learning models for customer retention, tasker matching, and repeat purchase optimization at scale.
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-doâs, such as furniture assembly, handyman work, moving help, and much more.
At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. Weâre looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, weâre creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In â Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!
This role is hybrid requiring 2 days in office at our San Francisco or NYC hub every Tuesday & Wednesday.
Machine Learning is a cornerstone at Taskrabbit, and weâre looking for a Staff Machine Learning Engineer to join our team and lead the next phase of our customer retention strategy. This is a critical, full-stack role for an individual who is passionate about the end-to-end lifecycle: from initial research and model development to building the robust systems that power repeat customer engagement and lifetime value growth at scale.
Taskrabbitâs greatest growth opportunity lies in deepening customer relationships and accelerating repeat purchases. Our most valuable customers are those who return frequently, discover new service categories, and increase their spending over time. Thereâs significant untapped potential in the marketplace: repeat customers spend 3-5x more than one-time users, and category expansion unlocks new revenue streams within our existing customer base.
This role is central to capturing that opportunity. While initial matching quality and service discovery matter, the real competitive advantage and growth lever is optimizing the experience after a successful first job.
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how weâre thinking about what youâll need to be successful in the role.
At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $170,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.
An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.
Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
AI-Assisted Prescreening Notice [US Based Candidates Only]: As part of our hiring process, we may use artificial intelligence tools to assist with the initial prescreening of applications and responses. This tool does not make hiring decisions â every application and response is reviewed by a member of our recruiting team to determine fit for the role. If you would prefer not to have your application processed using this tool, you may opt out by selecting âopt outâ in the application form or by emailing talentacquisition@taskrabbit.com, and your application will be reviewed manually with no impact on your candidacy.
Staff Software Architect drives platform modernization efforts, partners with engineering teams on architecture decisions, and applies AI-assisted development practices to modernize Taskrabbit's technology stack.
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-doâs, such as furniture assembly, handyman work, moving help, and much more.
At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. Weâre looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, weâre creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In â Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!
Prior to applying please note:
The Architecture Team drives Taskrabbitâs Platform Modernization efforts, guiding engineering teams toward our Target State Architecture (TSA). As a Staff Software Architect, youâll serve as an embedded representative of the Architecture team, partnering with engineering teams across the platform to accelerate their modernization work.
Youâll operate as a subject matter expert on platform modernization within a small team of architects, applying AI-assisted and Spec-Driven Development (SDD) practices to help teams build new components using our Target State Architecture stack of technologies. This role is hands-on and results-oriented: pairing directly with engineers and technical leads, not just advising from the sidelines.
This is not a purely consultative role. Youâre expected to engage directly with projects and drive results forward â TDDs, code, and outcomes.
At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.
An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.
Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
AI-Assisted Prescreening Notice [US Based Candidates Only]: As part of our hiring process, we may use artificial intelligence tools to assist with the initial prescreening of applications and responses. This tool does not make hiring decisions â every application and response is reviewed by a member of our recruiting team to determine fit for the role. If you would prefer not to have your application processed using this tool, you may opt out by selecting âopt outâ in the application form or by emailing talentacquisition@taskrabbit.com, and your application will be reviewed manually with no impact on your candidacy.
Designs, develops, and maintains SAP ABAP programs and custom solutions across SAP modules while mentoring technical teams.
Are you ready to shape the future technological landscape in Europe?
We are dedicated to responsible digitalisation, building innovative, inclusive solutions that drive meaningful impact. With over 8,900 professionals across Europe, we help EU institutions, public and private organisations thrive in a rapidly evolving digital world. Are you ready to shape the future through technology? Your journey starts here. Take a look at some of our impactful projects here: https://netcompany.com/cases/
Our SAP department emerges as a premiere SAP partner & integrator in the EMEA market, encompassing the entire spectrum of SAP offerings (hardware procurement, SAP licenses, and customized services). Netcompanyâs SAP team works on innovative projects, utilizing the latest, cutting-edge SAP technologies (SAP BTP, S/4HANA) and industry-specific solutions (ISU and IS-OIL), across a wide range of sectors (Consumer goods, Education, Utilities, Telcos, Banking etc.)
As a SAP ABAP Developer (Senior-Lead) you will:
What would make you a fit for the role:
It would also be a plus if you match some of the following:
Being a part of the Netcompany team, you will be provided with:
If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!
By joining Netcompany in Athens, you will be part of a vivid team of 2,300+ tech professionals. When at the office, youâll have the flexibility to work from our three modern, sustainable, and state-of-the-art offices!
Please upload your CV in English via the Apply button. All applications will be treated as strictly confidential.
We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our everyday working experience.
In the following link you may find our CV Submission privacy notice: https://netcompany.com/cv-submission-privacy-notice/
Staff engineer designs and leads development of a next-generation data platform supporting real-time analytics, batch processing, and AI/ML initiatives using Kafka, ClickHouse, and Snowflake.
Vercel is the agentic infrastructure company. We free people and agents to ship whatâs 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 youâre building our products, supporting our customers, growing our community, or shaping our story, youâll help define what comes next.
Weâre looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives.
Reporting directly to the Senior Director of Data Engineering, youâll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.
Youâll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If youâre excited by the challenge of building scalable data systems that drive product innovation, weâd love to hear from you.
The San Francisco, CA base pay range for this role is $232,000 - $348,000. 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 donât necessarily check every box on the job description.
Designs and scales backend data infrastructure systems including PostgreSQL models, Kafka pipelines, and GraphQL APIs for a clinical brain data platform.
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, weâre changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking a Software Engineer IV to join our Datastore team. The Datastore sits at the heart of Beaconâs platform. It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners.
This role emphasizes the design and scaling of backend systems for data infrastructure: PostgreSQL data models, Kafka-driven event pipelines, and the GraphQL API that makes scientific and clinical data usable - distinct from frontend development or end-user product surfaces. At this level you will lead the design of complex systems within the Datastore rather than individual components, own the pipelines that deliver dataset snapshots into our warehouse, and collaborate across platform, application and scientific teams to implement APIs that unlock new workflows in Beaconâs expanding portfolio of clinical studies and digital health products.
You should have experience writing complex SQL queries by hand, and should be prepared to reason about schema design, indexes, and query behavior as a matter of course.
Two properties of our system that shape our work may influence your application. Our GraphQL API is generated from the PostgreSQL schema using PostGraphile, so a schema decision is an API decision. Secondly, row-level security is in force on effectively every table, because clinical data from different studies and partners shares one schema, with some rows shared for access by multiple internal teams. RLS predicates get injected into your queries, which makes reasoning about query plans genuinely harder here than it is in most places. If that sounds interesting rather than tedious, youâll enjoy this team.
We are hiring two engineers into this role, with two different centers of gravity. One will focus on the breadth of the Datastore: the event pipelines, the GraphQL API, core data models, and third-party integrations. The other will focus on depth in PostgreSQL (data modeling, performance tuning, operations) and supporting all engineers in developing schemas and the access controls that protect clinical data. The core requirements are the same. Tell us which one you are most drawn to in your application.
This role is 100% remote from anywhere in the U.S. Beaconâs robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City, and Paris.
For the Datastore Systems role:
For the PostgreSQL & Data Modeling role:
We donât expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, weâd love to hear from you!
The US-based salary range for this role is $170,000 â $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, weâve found that cultural and scientific impact is driven most by those that lead by example. As such, weâre always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Staff engineer designs and architects a next-generation data platform supporting real-time analytics, batch processing, and AI/ML initiatives using Kafka, ClickHouse, and Snowflake.
Vercel is the agentic infrastructure company. We free people and agents to ship whatâs 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 youâre building our products, supporting our customers, growing our community, or shaping our story, youâll help define what comes next.
Weâre looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives.
Reporting directly to the Senior Director of Data Engineering, youâll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.
Youâll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If youâre excited by the challenge of building scalable data systems that drive product innovation, weâd love to hear from you.
The San Francisco, CA base pay range for this role is $232,000 - $348,000. 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 donât necessarily check every box on the job description.
Designs and scales backend data infrastructure systems including PostgreSQL models, Kafka pipelines, and GraphQL APIs for a clinical data platform.
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, weâre changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking a Software Engineer IV to join our Datastore team. The Datastore sits at the heart of Beaconâs platform. It defines our foundational data model and serves as the centralized repository and API for brain data collected from clinical studies, supporting the analytical tools, services, and applications used by our scientists, clinicians, and partners.
This role emphasizes the design and scaling of backend systems for data infrastructure: PostgreSQL data models, Kafka-driven event pipelines, and the GraphQL API that makes scientific and clinical data usable - distinct from frontend development or end-user product surfaces. At this level you will lead the design of complex systems within the Datastore rather than individual components, own the pipelines that deliver dataset snapshots into our warehouse, and collaborate across platform, application and scientific teams to implement APIs that unlock new workflows in Beaconâs expanding portfolio of clinical studies and digital health products.
You should have experience writing complex SQL queries by hand, and should be prepared to reason about schema design, indexes, and query behavior as a matter of course.
Two properties of our system that shape our work may influence your application. Our GraphQL API is generated from the PostgreSQL schema using PostGraphile, so a schema decision is an API decision. Secondly, row-level security is in force on effectively every table, because clinical data from different studies and partners shares one schema, with some rows shared for access by multiple internal teams. RLS predicates get injected into your queries, which makes reasoning about query plans genuinely harder here than it is in most places. If that sounds interesting rather than tedious, youâll enjoy this team.
We are hiring two engineers into this role, with two different centers of gravity. One will focus on the breadth of the Datastore: the event pipelines, the GraphQL API, core data models, and third-party integrations. The other will focus on depth in PostgreSQL (data modeling, performance tuning, operations) and supporting all engineers in developing schemas and the access controls that protect clinical data. The core requirements are the same. Tell us which one you are most drawn to in your application.
This role is 100% remote from anywhere in the U.S. Beaconâs robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City, and Paris.
For the Datastore Systems role:
For the PostgreSQL & Data Modeling role:
We donât expect every candidate to check every box. If you bring strong fundamentals, care about data infrastructure for health, and are excited to learn, weâd love to hear from you!
The US-based salary range for this role is $170,000 â $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, weâve found that cultural and scientific impact is driven most by those that lead by example. As such, weâre always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
