Startups · AI

Staff DevOps Engineer

Nexxa.ai · SF Bay area · Remote

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About Nexxa.ai

Agentic automation tailored to system-critical industries the world relies on. Book a free consultation today. Backed by a16z and a16z speedrun.

About the role

We're looking for a Senior/Staff DevOps Engineer who has spent the last several years building and operating the infrastructure that lets AI and industrial systems run reliably at scale. You understand what it takes to keep production ML and data workloads fast, observable, and resilient — from GPU-backed training and inference clusters to the pipelines that connect them to real-world industrial environments.

What they're looking for

  • 6+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or infrastructure-focused software engineering roles
  • Cloud platforms (AWS, GCP, or Azure) at production scale
  • Kubernetes in production, including GPU workload scheduling
  • Infrastructure-as-code tooling (Terraform, Pulumi, or equivalent)
  • CI/CD systems (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD)
  • Strong track record designing and operating observability stacks (e.g., Prometheus, Grafana, Datadog, OpenTelemetry)
More about this role

Nexxa is building the best AI systems for heavy industries — enabling machines, systems, and operations to think, decide, and act autonomously across manufacturing, large-scale infrastructure, logistics, and legacy environments.

Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

We're looking for a Senior/Staff DevOps Engineer who has spent the last several years building and operating the infrastructure that lets AI and industrial systems run reliably at scale. You understand what it takes to keep production ML and data workloads fast, observable, and resilient — from GPU-backed training and inference clusters to the pipelines that connect them to real-world industrial environments.

This role is ideal for candidates who want deep infrastructure ownership at a company where uptime, latency, and reliability directly affect physical operations — not just software. You'll partner closely with AI, data, and product engineering teams to make sure the systems they build can actually run in production, safely and at scale.

Own and evolve Nexxa's core infrastructure — compute, networking,...

Read the full posting on Nexxa.ai's site ↗

Engineering

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