Senior DevOps Engineer
Role Overview
The Cloud Enablement team builds and operates the cloud platform capabilities, automation, and guardrails that help engineering teams provision infrastructure, deploy services, and work securely in the cloud with less friction. This role contributes to the design, implementation, and operation of scalable platform services that improve developer experience, strengthen reliability, and support self-service infrastructure across the company.
What You'll Do
Platform Delivery & Technical Ownership: Own the technical execution and delivery of significant platform capabilities. Author design docs and contribute to Architecture Decision Records (ADRs) for team-level decisions. Lead complex, multi-sprint initiatives (e.g., Vault dynamic secrets rollout, GitHub Actions maturity, AWS Sandbox self-service) end-to-end through to production.
IaC Platform & Policy Engineering: Manage HCP Terraform workspaces, the Terraform module registry, and Sentinel/Semgrep policy implementations. Calibrate hard vs. advisory guardrails, eliminate false positives, and expand coverage as new resource types onboard to self-service.
Secrets & Security Integration: Accelerate Vault adoption across CarGurus workloads — handling dynamic secrets, PKI/CA, transit encryption, and AWS dynamic IAM credentials. Execute the tactical roadmaps toward zero standing long-lived credentials in production.
AI Infrastructure Governance: Maintain and operate our governed Amazon Bedrock platform, implementing per-team access controls, cost attribution, anomaly detection, and self-service access patterns. Assist in extending governance to developer AI tooling (Claude Code, Copilot) as adoption scales.
Developer Enablement & Self-Service: Expand the AWS self-service catalog and paved-path IaC offerings so teams can provision, operate, and own cloud resources independently. Monitor adoption metrics and use feedback to prioritize the next platform investments.
Cross-Team Collaboration: Partner with adjacent teams (Cloud Infrastructure, SRE, DevX, and product engineering) to align on technical concerns at team boundaries. Represent Cloud Enablement's perspective clearly in shared discussions and help resolve integration ambiguity.
Incident Management & Reliability: Participate in the team's on-call rotation and incident response. Apply incident learnings to improve platform reliability and reduce toil for the team and its customers.
AI-Assisted Engineering: Actively incorporate AI tooling (Claude Code, GitHub Copilot, Amazon Q) into your engineering workflow — from generating and reviewing IaC to accelerating architecture exploration and incident triage.
What You'll Bring
4+ years of professional experience in a hands-on DevOps, platform engineering, or cloud infrastructure role, performing the core responsibilities of this position.
Cloud Infrastructure Depth: Significant experience operating production workloads in AWS including IAM, S3, Lambda, EKS, ElastiCache, EC2, and related services. Comfortable reasoning about security, cost, and reliability trade-offs at platform scale.
Infrastructure as Code & Policy Engineering: High proficiency with Terraform, including HCP Terraform, remote state, module design, and workspace governance. Hands-on experience with Sentinel and/or Semgrep for policy-as-code enforcement.
Secrets Management: Practical experience with HashiCorp Vault dynamic secrets, PKI/CA, AppRole/Kubernetes auth, or transit encryption. Experience migrating workloads from static credentials to short-lived credential models.
CI/CD & Platform Engineering: Deep experience with GitHub Actions runner infrastructure, composite actions, GHES/GHEC, and supply-chain security practices. Familiarity with CircleCI or similar pipeline systems.
FinOps & AI Awareness: Ability to reason about cloud cost attribution, resource tagging strategies, and FinOps tooling (e.g., CloudZero, AWS Cost Explorer). Familiarity with Amazon Bedrock, LLM API cost structures, and basic governance considerations (spend attribution, access controls).
Programming & Automation: Proficiency in at least one scripting/programming language (Python, Go, or similar) for building automation, CLI tooling, and platform integrations.
Systems Thinking & Communication: Able to distill complex technical problems into clear design docs, written proposals, and stakeholder-facing summaries. Comfortable working across teams to align on shared technical boundaries.