Senior AI Infrastructure DevOps Engineer

Upscale, Inc.; United States; On-site; USD 222,000 - 250,000; Full time

Job summary

Upscale, Inc. is building the high-performance infrastructure powering the next generation of AI workloads.

A DevOps engineer is needed to own CI/CD pipelines for ScaleUp, ensuring fast, reliable builds across multi-repo environments and hardware-adjacent software teams. You will partner with SDK, SAI, and QA engineers, optimize build caches, and automate release workflows so that AI networking features ship smoothly to customers and cloud deployments.

Qualifications

• Strong CI/CD experience (GitHub Actions and/or Jenkins; GitLab CI also fine) in multi-repo environments.
• Deep Linux fluency: shells, packaging, toolchains, debugging native builds and shared-library / SDK load paths.
• Automation in Python and bash; enough CMake/Make to unblock switch-SDK CI.
• Containers (Docker) and self-hosted or cloud runners at meaningful scale.
• Proven work reducing flaky tests and improving CI signal-to-noise.
• Hands-on Jira (or equivalent): workflows, boards, linking commits/PRs to issues, release/version fields — comfortable driving process with developers, not only “keeping the lights on.”
• Clear communication with hardware-adjacent software teams.
• Excitement about AI data centers, Ethernet fabrics, and silicon-software co-design — not only generic cloud DevOps.

Responsibilities

• Own CI/CD for the ScaleUp stack that powers AI/HPC Ethernet switching (build, unit/integration, gating, artifacts, release promotion).
• Scale pipelines across multi-repo dependencies: switch SDK, SAI adapters, shared test frameworks, and switch simulation / model targets.
• Improve build caching, shared runners, and nightlies so large C/C++ and Python SDK builds stay fast and predictable.
• Own release / promote workflows (branch policies, artifact publish, pre-gate vs post-gate steps) so SDK drops are repeatable.
• Shorten commit → green for teams building programmable data-plane, QoS, ACL, RoCE-era fabrics, and AI-workload traffic patterns.
• Add and maintain quality gates: lint, unit tests, model smoke, coverage where useful, overnight soak — high signal, low flake.
• Manage artifacts and caches (CI artifacts, object storage as needed) with clear retention and failure handling.
• Operate Linux build/test farms for C/C++ SDKs and Python harnesses (toolchains, containers, lab/sim hosts).
• Improve pipeline observability (dashboards, alerts, runbooks, postmortems).
• Secure secrets and access for GitHub Actions, artifact stores, and internal services.
• Partner with QA on PR / nightly / soak jobs that validate end-to-end switch behavior before customer and cloud deployments.
• Publish reusable pipeline templates so new ScaleUp / AI-networking repos onboard quickly.
• Jira: keep engineering work traceable — epics/stories/bugs for CI and infra, link PRs and releases to tickets, support sprint and release planning with SDK/SAI/QA, tighten ticket hygiene (status, components, labels) so blockers and CI debt are visible.

Skills

CI/CD experience

Linux fluency

Automation (Python & Bash)

Docker/Containers

Jira/QA tooling

Tools

GitHub Actions

Jenkins

Job description

Upscale, Inc. is building the high-performance infrastructure powering the next generation of AI workloads.

A DevOps engineer is needed to own CI/CD pipelines for ScaleUp, ensuring fast, reliable builds across multi-repo environments and hardware-adjacent software teams. You will partner with SDK, SAI, and QA engineers, optimize build caches, and automate release workflows so that AI networking features ship smoothly to customers and cloud deployments.