Lead DevOps Engineer

Job Title: AWS DevOps Engineer (Python Required) Location: Bangalore Job Type: Full-time Experience Level: 6 to 10 Years Job Summary: We are looking for a highly skilled AWS DevOps Engineer with strong Python programming expertise to join our engineering team. The ideal candidate will have hands-on experience in automating and managing cloud infrastructure, implementing CI/CD pipelines, and writing scripts and tools in Python to support DevOps processes. You will play a critical role in ensuring high availability, scalability, and security of our cloud-based systems. Key Responsibilities: Design, implement, and manage CI/CD pipelines using tools like AWS CodePipeline, Code Build, Jenkins, or GitHub Actions. Develop automation scripts and tools in Python for infrastructure provisioning, monitoring, and maintenance. Deploy and manage cloud infrastructure using AWS services such as EC2, Lambda, S3, VPC, IAM, RDS, CloudFormation, and ECS/EKS. Implement Infrastructure as Code (IaC) using tools like CloudFormation or Terraform . Monitor and maintain infrastructure using AWS CloudWatch, Prometheus, Grafana, or similar. Collaborate with development and QA teams to streamline build, test, and deployment processes. Ensure security best practices are followed across cloud infrastructure and deployments. Participate in performance tuning, incident response, and root cause analysis. Manage version control systems (e.g., Git), branching strategies, and code integrations. Required Skills and Qualifications: Bachelors degree in computer science, Engineering, or a related field. 3+ years of hands-on experience in AWS DevOps or a similar role. Strong Python programming skills for automation and scripting tasks. Experience with CI/CD tools like AWS CodePipeline , Jenkins , GitLab CI , or GitHub Actions . Proficiency in AWS services including EC2, S3, Lambda, CloudFormation, IAM, ECS/EKS, RDS . Solid understanding of IaC tools like Terraform or CloudFormation . Familiarity with containerization and orchestration using Docker and Kubernetes . Knowledge of system administration, networking, and Linux-based environments. Good understanding of Git, version control, and code review practices. Preferred Qualifications: AWS Certified DevOps Engineer or other relevant certifications. Experience with monitoring/logging tools (e.g., ELK Stack, Datadog, CloudWatch). Exposure to Agile methodologies and tools like Jira or Confluence. Familiarity with REST APIs and integration scripting using Python.