Senior DevOps Engineer

What will you do:

• Own the infrastructure that engineering depends on — Kubernetes clusters, CI/CD pipelines, on-prem ↔ cloud sync, observability, and high-availability platforms for chip-design and ML workloads.
• Use and develop AI-assisted tool flows to accelerate infra automation and incident response.

What we’re looking for:

• Exceptional abilities in Kubernetes operations, infrastructure-as-code (Terraform / Ansible), and CI/CD platforms (GitHub Actions, Bazel, Buildkite, or equivalent)
• 5+ years of SRE / infrastructure engineering experience supporting engineering or ML teams at scale
• Hands-on with hybrid on-prem ↔ cloud architectures (AWS / GCP plus virtualization platforms like Proxmox or VMware)
• Strong fluency in observability stacks (Prometheus, Grafana, OpenTelemetry, Loki, or equivalent) and on-call practices
• Optional) GitHub Enterprise administration, Bazel build systems, ML-platform infrastructure (training / inference), or RAG / knowledge-platform operations

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Base salary: $180k – $320k USD per year, depending on experience and qualifications. Final offers depend on level, location, and skills relevant to the role.

Additional compensation: equity grant per company guidelines; medical / dental / vision; 401(k); standard PTO. Discussed in detail during the interview.

Visa sponsorship

DensityAI sponsors qualified and exceptional candidates for employment-based visas. Work authorization is required at start.

Equal Opportunity

DensityAI is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religious creed, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age (40+), sexual orientation, military or veteran status, pregnancy, or any other status protected by law. We comply with the California CROWN Act and provide reasonable accommodations on request.