Staff AI-Native DevOps Engineer

What you'll do

• Deploy, scale, and operate distributed microservices in production Kubernetes environments.
• Build and maintain CI/CD pipelines, GitOps workflows, infrastructure automation, observability, and incident response practices.
• Partner with scientists and engineers to make AI-native delivery repeatable, measurable, and secure.

What they ask for

• 8+ years of professional software engineering, infrastructure engineering, DevOps, or related experience.
• 6+ years deploying and operating containerized applications and distributed services in production.
• 4+ years of hands-on experience with Kubernetes, cloud infrastructure, and infrastructure automation.
• Proficiency in a programming or scripting language such as Go, Python, or Bash, plus practical AI-assisted development experience and working knowledge of LLMs, Generative AI, and agentic AI.

Nice to have

• Experience architecting and operating Kubernetes-based SaaS platforms at scale or developing Kubernetes Operators and custom controllers.
• Technical leadership in cross-team infrastructure initiatives, or production experience with LLM-powered applications and agentic systems.

Pay

$176,100 - $308,200 USD base salary

Tools

Go, Python, Bash, Kubernetes, Terraform, Ansible, Helm, Jenkins

AI focus

Operates production infrastructure for conversational AI, LLM-powered applications, and agentic systems; uses AI coding assistants and AI-assisted debugging, and addresses model integration, observability, latency, resource use, privacy, and operational costs.