AI DevOps Engineer

What you’ll do (Role Expectations)

Build and extend Day 1 automation, including infrastructure 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 workflows
• Write and maintain Terraform modules, GitLab CI/CD components, and Python automation to establish the platform's paved road
• Integrate AI and agentic tooling into operational workflows to reduce manual toil and increase operational consistency
• Collaborate with Security, IAM, Network, and FinOps teams to translate cross-functional requirements into automated guardrails

Who You Are (Success Profile)

• You thrive in ambiguity. You are comfortable building the path as you walk it, viewing dynamic environments as raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action, seamlessly navigating between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving hard problems delivers maximum impact.
• You are a high-trust collaborator. You embrace a challenge culture by giving and receiving ongoing feedback with clarity, respect, and candor.
• You are a learner. You bring a true growth mindset and actively seek feedback to continuously develop yourself and support your team.

What We’re Looking for (Minimum Qualifications)

• Demonstrated curiosity and active exploration of AI tools , with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
• 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

What Will Make You Stand Out (Preferred 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