AWS DevOps Engineer @ Experian

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

• AWS DevOps Engineer