Upscale AI
Senior Staff DevOps Engineer – Scaleup
US - Headquarters · Staff+
Sponsorship not specified$222k-$250kDetected 58 days ago
PythonC++CBashGitAWSGCPDockerTerraformAnsibleCI/CDGitHub ActionsJenkinsLinuxDevOpsMachine LearningAccessibilityJiraConfluencepytestJUnitCommunication
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- AI training and inference clusters live or die on the network fabric.
- We're looking for a DevOps engineer at the intersection of AI infrastructure, data-center networking, and silicon-aware software: reliable pipelines for an ASIC SDK, fast feedback for developers, and release paths worthy of cloud- and AI-scale deployment.
- Success means CI is trusted, simulation and software gates are clear, and infrastructure never blocks the next generation of AI networking features.
Responsibilities
- You'll partner with SDK, SAI, and QA engineers, and work in GitHub + Jira day to day.
- Own CI/CD for the ScaleUp stack that powers AI/HPC Ethernet switching (build, unit/integration, gating, artifacts, release promotion).
- 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.
- 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).
Requirements
- Proven work reducing flaky tests and improving CI signal-to-noise.
Nice to have
- Background in networking ASICs, switch SDKs, SAI, DPDK, or NIC/SmartNIC software.
- Exposure to AI/ML cluster networking (GPU fabrics, RoCE/RDMA, congestion control, telemetry).
- Simulation / hardware-in-the-loop CI, pytest at scale, junit/Allure-style reporting.
- backport or branch-gating workflows.
- Static analysis / lint gates in CI (e.g. cppcheck, language linters).
- IaC (Terraform/Ansible) and cloud runners (AWS/GCP).
- Atlassian suite beyond Jira (Confluence runbooks, Jira + GitHub automation).
- Release hygiene: versioning, artifacts, SBOM/signing, branch protection / merge gates.
Skills
- changes land and developers feel them the next day.
- Scale pipelines across multi-repo dependencies: switch SDK, SAI adapters, shared test frameworks, and switch simulation / model targets.
- Containers (Docker) and self-hosted or cloud runners at meaningful scale.
Compensation
- $222k-$250k
Benefits
- Add and maintain quality gates: lint, unit tests, model smoke, coverage where useful, overnight soak - high signal, low flake.
Company info
- We value ownership, technical rigor, and speed, and we offer the opportunity to work on foundational problems with immediate, real-world impact.
Equal opportunity
- Upscale, Inc., is building a team that reflects a wide range of perspectives, backgrounds, and experiences. We're proud to be an Equal Opportunity Employer and consider all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, disability, or veteran status.
- Accessibility & Accommodations
- We're committed to making our hiring process accessible to everyone. If you need accommodations at any stage, just reach out to us at hiring@upscaleai.com -we're happy to help. Note: This inbox is only for accommodation requests.
- Upscale, Inc., is building a team that reflects a wide range of perspectives, backgrounds, and experiences.
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This listing is sourced directly from Upscale AI's careers page and normalized into a canonical job model.