Senior Platform Engineer

What you'll do

• Develop CI/CD pipelines, internal tools, and self-service capabilities, including foundations for automated testing.
• Operate a shared Kubernetes platform across cloud and factory sites, and own infrastructure as code, observability, and incident response.
• Integrate AI into development, testing, and operations, while embedding security and compliance controls into platforms and pipelines.

What they ask for

• B.S. or M.S. in Computer Science, Engineering, or equivalent practical experience.
• 5+ years in platform, DevOps, or SRE roles, owning production systems used by multiple teams.
• Production Kubernetes experience; strong CI/CD, GitOps, and infrastructure-as-code background.
• Production software engineering experience building and maintaining services, tools, and components in Python; experience with a major cloud provider and comfort with on-premises infrastructure.

Nice to have

• Experience building or scaling an internal developer platform; hands-on experience with AI coding tools and agent workflows.
• Experience with Datadog, Proxmox or comparable on-premises virtualization, API gateways, Kafka or other event-streaming platforms, or regulated or manufacturing environments.

Pay

$124,300 - $196,400/yr (base pay)

Tools

Kubernetes, GitHub Actions, ArgoCD, Terraform, Python, Azure, Datadog, Proxmox

AI focus

Evaluate and integrate AI into development, testing, and operational workflows, including infrastructure and guardrails for safe use at scale.