Cloud Engineer - AWS Platform (5-8 yrs)

Key Responsibilities :

- Cloud Infrastructure Management : Design, deploy, and maintain scalable infrastructure on AWS Cloud. Ensure high availability and performance of cloud-based systems.

- Kubernetes Administration : Manage containerized applications using Kubernetes (EKS or AKS), implementing best practices for cluster management, scaling, and monitoring.

- Infrastructure as Code (IaC) : Implement and manage infrastructure automation using Terraform to enable scalable, consistent, and repeatable provisioning of cloud resources.

- CI/CD Pipelines : Develop and maintain GitHub Actions to automate build, test, and deployment workflows across various environments.

- Observability & Monitoring : Implement and utilize observability tools (e.g., Prometheus, Grafana, ELK Stack) to monitor system health, performance, and log aggregation, ensuring proactive identification and resolution of issues.

- Scripting & Automation : Create and maintain automation scripts using Python, Bash, or Go to streamline system operations, deployments, and incident response.

- Collaboration : Work closely with development, operations, and security teams to ensure smooth deployment processes, continuous integration, and effective incident management.

- Problem Solving : Troubleshoot and resolve production issues promptly to maintain a seamless user experience and uptime.

Required Skills and Qualifications :

- Strong experience with AWS Cloud services, including EC2, S3, IAM, RDS, Lambda, and other core services.

- Hands-on experience managing Kubernetes clusters using EKS or AKS.

- Proficiency in Infrastructure as Code using Terraform or similar tools to automate infrastructure provisioning and management.

- Extensive experience with GitHub and GitHub Actions for automating workflows and managing source code repositories.

- Experience with observability tools such as Prometheus, Grafana, ELK Stack, or similar tools to monitor and log system performance.

- Solid scripting experience in Python, Bash, or Go for automation, configuration, and troubleshooting.

- Strong understanding of CI/CD pipelines, version control, and collaboration tools in a DevOps environment.

- Excellent problem-solving skills and the ability to work well under pressure in a fast-paced, dynamic environment.

- Strong communication skills with the ability to work collaboratively across teams.

Preferred Qualifications :

- Experience with other cloud platforms such as Azure or Google Cloud.

- Familiarity with Docker for containerization and microservices.

- Knowledge of security best practices in cloud environments.

- Experience with monitoring and alerting systems such as Datadog, New Relic, or similar tools.