AWS PE Devops (9-14 Years)

Are you an experienced cloud engineer who thrives on building scalable, resilient, and automated enterprise infrastructure? We are looking for a AWS Platform Engineer DevOps with 9+ years of experience to drive our enterprise-scale cloud transformation initiatives.

Responsibilities

• AWS Infrastructure & Platform Engineering: Design, automate, and maintain multi-account, highly available AWS environments leveraging infrastructure best practices for reliability, security, and cost optimization.
• Kubernetes & Container Orchestration: Manage and optimize enterprise workloads on Amazon EKS using Helm, GitOps, and ArgoCD. Implement cluster governance, networking, and IRSA.
• Infrastructure as Code (IaC): Architect modular, reusable, and scalable infrastructure using Terraform, managing state and automated provisioning workflows.
• CI/CD & Automation: Build robust end-to-end pipelines using GitHub Actions & GitHub Workflows to automate application deployment, testing, and release cycles.
• Observability & Operations: Drive deep platform observability by implementing metrics, dashboards, and alerts using Datadog, Prometheus, Grafana, and CloudWatch.
• DevSecOps & Compliance: Integrate security scanning, vulnerability management, and governance into continuous delivery pipelines.
• AI & Modern Developer Tooling: Leverage AI-assisted development tools and prompt engineering techniques to optimize workflows and boost platform engineering productivity.

Qualifications

• Experience: 10+ years in AWS Cloud Engineering, Platform Engineering, or DevOps.
• AWS Cloud Mastery: Hands-on experience with Landing Zones, Organizations, IAM/Federation, VPC networking, Lambda (including containerized), ELB, Route 53, and ACM.
• Kubernetes & Containers: Strong EKS management skills; declarative/imperative resource management (Pods, Deployments, Services, ConfigMaps, Secrets, DaemonSets, IRSA); expertise in Helm and ArgoCD.
• IaC & CI/CD: Advanced proficiency in Terraform and GitHub Actions/Workflows.
• Observability: Strong implementation expertise in Datadog, as well as CloudWatch, Prometheus, and Grafana.
• Programming & Scripting: Strong hands-on Python and Linux shell scripting skills. Working knowledge of Java or Go.
• DevSecOps: Practical knowledge of code scanning and security tools (e.g., Snyk, SonarCloud, CodeScene, Trivy, Wiz, GHAS).
• AI Productivity Tools: Demonstrated experience using AI-powered tools and prompt engineering to improve engineering output.

Nice to have

• Integration of GitHub Workflows with ServiceNow for automated change management.
• Experience with multi-region AWS architectures, Disaster Recovery (DR) automation, and resilience engineering.
• Exposure to Internal Developer Platforms (IDP) and Microsoft Azure.
• Certifications: AWS Certified DevOps Engineer (Pro), CKA/CKAD, or HashiCorp Terraform Associate.