Responsibilities:

• Designed and implemented scalable AWS, Azure, and on-premise infrastructure
• Developed and maintained CI/CD pipelines and infrastructure using Jenkins, GitLab CI, GitHub Actions, Jfrog, SonarQube, Hashicorp Vault, Kubernetes, Docker, etc.
• Developed and maintained Jenkins shared pipelines, GitHub shared workflows, and enhanced automation processes to support continuous integration and delivery
• Administered Kubernetes environments (AKS, On-prem multiple DCs), migrated applications from legacy Docker Swarm-based environment to K8s, and developed experience with Helm for package management
• Implemented infrastructure as code (IaC) using Terraform and AWS CloudFormation
• Developed multiple Python scripts for automation tasks, improving efficiency and reducing manual tool administration steps
• Worked as a Python application developer with a focus on data load and transformation applications on AWS (S3, Neptune DB)
• Configured system performance and application health using Prometheus, Grafana, and Datadog
• Led data migration projects for seamless data transfer between systems with minimal downtime for GitLab and Vault
• Developed comprehensive Disaster Recovery (DR) architecture using AWS EC2, Load Balancers, AWS Route 53, and Amazon S3
• Implemented backup and failover strategies for various internal tools, including Vault, Jenkins, PostgreSQL, GitLab, Artifactory, SonarQube
• Conducted performance tuning and capacity planning using Azure Cost Management and auto-scaling strategies to ensure systems are robust and scalable
• Delivered presentations internally and externally for the client, communicating POC project updates, strategies, and technical concepts to stakeholders and team members
• Collaborated with development, QA, and operations teams to align DevOps practices with business objectives
• Provided training, support, and mentorship to team members