Job
Description
Cloud Engineering Lead This role will involve managing and scaling Docker and Kubernetes infrastructure, designing and implementing cloud architectures, and leading containerization and infrastructure automation across various projects. You will work with a broader set of DevOps and CNCF tools, applying deep expertise in CI/CD, security, and infrastructure-as-code to support high-availability applications across diverse cloud environments. What Youll Do: Design, implement, and manage Kubernetes clusters (EKS) across AWS environments, maintaining secure, scalable, and resilient solutions. Lead the development and automation of CI/CD pipelines using tools such as ArgoCD, Cilium, TeamCity, CodeBuild, CodeDeploy, and CodePipeline to streamline application deployment and configuration. Expertly manage cloud resources using Terraform, and develop reusable, version-controlled IaC modules, promoting modular, scalable infrastructure deployment. Strong understanding and experience with Helm charts, and CNCF applications such as Cilium, Karpenter, and Prometheus. Configure and optimize Kubernetes clusters, ensuring compliance with container security standards. Oversee Docker image creation, tagging, and management, including maintaining secure, efficient Docker repositories (ECR, JFrog). Utilize monitoring tools (Prometheus, Grafana, Splunk, Cloudwatch Container Insight) to ensure system performance, detect issues, and proactively address performance concerns. Act as an escalation point for critical issues, conduct root cause analyses and maintain SOPs and documentation for efficient incident response and knowledge sharing. Provide training, mentorship, and technical guidance to junior team members, fostering a culture of continuous learning within the CCoE team. What Youll Bring: BE/B.Tech or higher in CS, IT or EE Hand-on experience of 7-8yrs in delivering container-based deployments using Docker and Kubernetes Good exposure in writing Helm Charts and configuring Kubernetes CI/CD pipelines Experience in writing manifest files for Deployment, Service, Pod, Daemon Sets, Persistent Volume (PV), Persistent Volume Claim (PVC), Storage, Namespaces Hand-on experience in delivering container-based deployments using Docker and Kubernetes Experience in Cloud, DevOps, and Linux and Experience in DevOps Tools like Git, Helm, Terraform, Docker, and Kubernetes Strong hands-on experience in Python, Yaml, or similar languages. Build and deploy Docker containers to break up monolithic apps into microservices, improving developer workflow Strong understanding of container security and relevant tool experience like Sysdig, CrowdStrike, etc Strong knowledge of container performance monitoring and scaling policies Deep Linux knowledge with an understanding of the container ecosystem Good Experience to develop images using Docker container Technology Should have good communication skills and a can-do attitude
