Lead DevOps Engineer

We are building a Lead DevOps Engineer role to replace brittle operations with automated, AI-assisted workflows while owning AWS infrastructure and CI/CD end-to-end. You will architect resilient AWS systems, expand Jenkins pipelines, and use coding agents such as Claude Code as a primary delivery mechanism to boost team throughput and reliability.

Spot manual, repetitive, or error-prone operational work and replace it with automated, AI-assisted workflows, then quantify recovered time and reduced toil Build and sustain infrastructure as code in Terraform, including modules, state strategy, environment promotion, drift detection, and remediation Own and enhance Jenkins pipelines for build, test, security scan, artifact, and deploy stages, including shared libraries and reusable pipeline patterns Integrate and calibrate SonarQube quality gates so code-quality and security signals are actionable without generating noise Drive implementation using coding agents such as Claude Code by breaking down problems, setting specs and guardrails, directing execution, and rigorously reviewing outcomes Design and debug AWS systems end to end across compute, networking, IAM, and storage, including expected behavior during service failures Respond to and resolve production and pipeline incidents, then codify learnings in runbooks and automation to prevent repeat issues Assess whether existing tooling is still the right fit and, when change is needed, plan and execute migrations methodically while keeping developers supported and productive Document delivered systems so the automation you create remains clear, shareable, and maintainable across the team 5+ years of experience with AWS core services (EC2, ECS/EKS, S3, IAM, VPC, RDS, CloudWatch), including an applied view of how they behave during failures Proven ownership of infrastructure as code using a mainstream tool (Terraform, OpenTofu, Pulumi, CloudFormation/CDK, or similar), including authoring and maintaining definitions rather than only consuming existing modules Production track record running CI/CD pipelines with established platforms (Jenkins, GitHub Actions, GitLab CI, CircleCI, Azure DevOps, or similar) Strong system design fundamentals, including the ability to weigh tradeoffs around failure domains, state, idempotency, and blast radius before implementation Advanced troubleshooting ability, using a structured, evidence-based approach to debugging distributed systems and CI/CD pipelines under time pressure Solid software engineering discipline applied to infrastructure and tooling (testing, version control, modularity, code review, readable code), with proficiency in Python, Go, or a comparable language Practical experience using coding agents for meaningful implementation work, plus the judgment to validate and review agent output to the same bar as your own code Developer-as-customer mindset, with the judgment to assess tooling changes objectively and the discipline to migrate in well-communicated phases instead of disruptive cutovers Direct experience with Terraform, Jenkins, and SonarQube, including shared libraries and reusable pipeline patterns Familiarity with static analysis and code-quality gating tools such as Snyk, Semgrep, Checkmarx, or CodeQL Experience running containers and orchestration in production, including Docker and Kubernetes/EKS Knowledge of observability tooling (CloudWatch, Datadog, Prometheus/Grafana, OpenTelemetry) and experience creating alerting that teams trust Experience with security and compliance automation, including secrets management, policy as code, and SOC 2 or similar audit evidence collection Experience building internal developer platforms or self-service tooling Background in security or vulnerability management products