AI DevOps Engineer
$140,000–$175,000 year
RemoteSan Jose, California, United States
San Jose, California, United StatesRemoteFull Time$140,000–$175,000 yearSenior LevelCybersecurity ServicesLarge
Full TimeSenior LevelLargeCybersecurity Services
Job Summary
Design and ship automation for infrastructure provisioning, lifecycle management, and dependency scanning across AWS, GCP, and Azure. Write Terraform modules, GitLab CI/CD components, and Python scripts to establish the platform's paved road while integrating AI-assisted tooling and agentic workflows to reduce manual toil. Collaborate with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails that enforce security baselines and accelerate delivery.
Required Qualifications
- 5+ years of experience building and operating multi-cloud infrastructure at scale across major cloud platforms
- Hands-on expertise with Terraform, including module design, state management, 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 a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
- Remote within the United States
- Hybrid preference for San Jose, CA
Desired Qualifications
- Experience with multi-account governance tooling such as AWS Control Tower, Organizations, SCPs, or RCPs
- Experience with GitOps patterns and automated infrastructure lifecycle tooling such as Renovate, Dependabot, or ArgoCD
- Experience with MLOps frameworks: kubeflow, ML flow, and model services like Bedrock, Sagemaker, Vertex AI, Gemini Enterprise
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