Overview
AI DevOps Engineer to design and ship automation for an internal cloud platform powering product and corporate infrastructure.
What you'll do
- Build and extend Day 1 automation such as provisioning pipelines, account vending, golden repo templates, and CI/CD components.
- Build and extend Day 2 automation for lifecycle management, upgrade pipelines, dependency scanning, drift detection, and automated remediation.
- Write and maintain Terraform modules, GitLab CI/CD components, and Python automation for a standardized platform setup.
- Integrate AI and agentic tooling into operational workflows to reduce manual effort and improve consistency.
- Collaborate with Security, IAM, Network, and FinOps to turn cross-functional requirements into automated guardrails.
What you'll need
- 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms.
- Hands-on expertise with Terraform, including module design and CI-driven workflows.
- Proficiency in scripting and automation using Python, Bash, or equivalent languages.
- Working knowledge of CI/CD pipeline design and Kubernetes operations.
- Understanding of identity federation, secrets management, and least-privilege security patterns.
- Demonstrated curiosity and active exploration of AI tools with history of integrating new technologies into workflows.
Details
- Remote within the United States; hybrid preference for San Jose, CA.
- Reports to the Manager, IT Cloud Operations in the Cloud Platform Engineering department.
Read the full description and apply on the company’s own careers page.
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