AWS DevOps Lead Engineer at Experian

Job description   Key Responsibilities Cloud Infrastructure & Platform Engineering Design and manage scalable AWS infrastructure using Infrastructure as Code (Terraform, CloudFormation, CDK). Build reusable platform components and golden paths for engineering teams. Implement multi-account, multi-region architectures with strong governance. CI/CD & Release Engineering Design and maintain end-to-end CI/CD pipelines using Jenkins, Harness, GitHub Actions, or similar. Enable progressive delivery strategies (blue/green, canary, feature flags). Integrate automated testing, security scanning, and compliance checks into pipelines. Containerization & Orchestration Build and manage containerized workloads using Docker and Kubernetes (EKS). Implement GitOps workflows using ArgoCD/Flux. Optimize cluster performance, cost, and reliability. Observability & AIOps Implement full-stack observability using CloudWatch, Prometheus, Grafana, OpenTelemetry. Build AI-assisted monitoring and alerting systems for anomaly detection and root cause analysis. Enable self-healing systems using automation and event-driven responses. Security & DevSecOps Embed security into pipelines using SonarQube, Snyk, Veracode, Trivy. Implement IAM best practices, secrets management, and zero-trust principles. Ensure compliance with enterprise security and data governance standards. AI-Enabled DevOps Leverage AI tools (Claude Code, Copilot) for automation, script generation, and pipeline optimization. Build agent-driven operational workflows (auto-remediation, incident summarization, runbook generation). Use AWS Bedrock / AI services for intelligent automation and operational insights. Cost Optimization & Reliability Implement FinOps practices for cost visibility and optimization. Define and monitor SLOs/SLIs and error budgets. Drive reliability engineering practices across platforms. Collaboration & Enablement Partner with engineering teams to improve developer experience (DevEx). Enable teams through self-service platforms and automation. Contribute to platform engineering standards and best practices. Required Skills & Technical Competencies Cloud & Infrastructure 5+ years of strong AWS expertise: S3, EC2, Lambda, EKS, RDS, DynamoDB, VPC, IAM Infrastructure as Code: Terraform, CloudFormation, or CDK CI/CD & DevOps Tooling Jenkins, Harness, GitHub Actions, GitLab CI Artifact management (Nexus/Artifactory) GitOps tools (ArgoCD, Flux) Containers & Orchestration Docker, Kubernetes (EKS) Helm, Kustomize Observability & Reliability Prometheus, Grafana, CloudWatch, OpenTelemetry Incident management and on-call practices AI & Automation Experience using AI copilots (Claude Code, GitHub Copilot) in engineering workflows Exposure to AIOps tools or building automation using LLMs Familiarity with AWS Bedrock or similar AI platforms (preferred) Security & Compliance DevSecOps practices, vulnerability scanning IAM, encryption, secrets management Programming/Scripting Python, Bash, or Go