Description

You will design, build, and validate resilient, scalable, and automated cloud-native environments by combining cloud engineering, DevOps, and chaos experimentation.

Responsibilities

• Automate infrastructure provisioning and configuration using Terraform or CloudFormation and AWS SDKs.
• Manage containerized workloads using Docker, Kubernetes, and EKS.
• Develop automation scripts, deployment utilities, and infrastructure tooling using Python, including Boto3.
• Design and execute chaos experiments (fault injection, outages) to validate system resilience using tools like Gremlin or AWS FIS.
• Build and maintain CI/CD pipelines for automated deployments using Jenkins, GitHub Actions, or AWS CodePipeline.

Required Skills

• 10+ years of experience in Cloud, DevOps, or SRE roles.
• Strong hands-on expertise in AWS Cloud (EC2, Lambda, EKS, RDS, IAM).
• Advanced Python development skills for automation and tooling (Boto3 required).
• Solid knowledge of Infrastructure as Code (Terraform / CloudFormation).
• Proficiency in containers and orchestration (Docker, Kubernetes, EKS).
• Familiarity with DevOps toolchain (CI/CD, Git, Jenkins, GitLab, CodePipeline).
• Experience designing and running chaos experiments (Gremlin, AWS FIS, Litmus, Chaos Mesh, or custom Python).
• Strong background in monitoring, observability, and incident management (Prometheus, Grafana, CloudWatch).
• Good understanding of resilient architectures, reliability principles, and disaster recovery.

Key Skills

Education

Not specified