# Senior Staff DevOps Engineer – Scaleup at Upscale AI

- Company: Upscale AI
- What the company does: Upscale builds next-generation AI network infrastructure with scalable systems, intelligent automation, and seamless connectivity.
- Company website: https://upscale.com
- Type: Startups (AI role)
- Level: Senior
- Location: US - Headquarters
- Work setup: On-site
- Pay: $222K to $250K base salary per year (USD)
- Posted: 2026-08-20
- Apply by: 2026-10-08
- Apply: https://jobs.lever.co/upscale-ai/8b9dc9b7-1031-4d69-8679-3eaa724b1f69
- Page: https://www.1752.vc/careers/jobs/upscale-ai-senior-staff-devops-engineer-scaleup/

## About the role

AI training and inference clusters live or die on the network fabric. ScaleUp builds the software that programs our high-performance Ethernet switch silicon — SDK, SAI, simulation, and the CI that keeps that stack shippable. 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.

## What they're looking for

- 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.”

Tags: AI Network Software