Pramod Kumar
Release Engineer (QA) · 7 years experience
Chennai, Tamil Nadu
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Technical Skills
Professional Summary
- Experienced Release Engineer with 7 years specializing in QA-focused release management and automation
- Expert in designing and implementing automated release pipelines using Jenkins, GitHub Actions, and Azure DevOps
- Proficient in canary deployments, progressive rollouts, and rollback strategies for microservices architectures
- Skilled in environment orchestration, configuration management, and infrastructure as code with Terraform and Ansible
- Adept at coordinating cross-team release rehearsals, QA validations, and ensuring stable production deployments
- Knowledgeable in containerization with Docker and Kubernetes for scalable and reliable release processes
- Experienced in monitoring release health, performance metrics, and implementing automated pre-release checks
- Collaborative professional who works closely with DevOps, QA, and development teams for seamless releases
Work Experience
Release Engineer (QA)
[Company name] · [Start date – End date]
7 years in release engineering bridging development, QA, and operations for high-quality software releases. Expertise in automating complex release processes, implementing robust deployment strategies, and maintaining system stability during rollouts.
Responsibilities
- Design and implement automated release pipelines and deployment strategies
- Coordinate QA validations and pre-release checks across multiple teams
- Maintain rollback procedures and hotfix processes for production issues
- Orchestrate cross-team release rehearsals and go-live activities
- Monitor release health and implement automated alerting systems
- Work with infrastructure teams on environment provisioning and configuration
- Integrate testing automation into release pipelines
- Document release processes and maintain runbooks
- Collaborate with security teams for compliance and vulnerability assessments
- Continuously improve release processes through automation and tooling
- Implement AI-driven release quality engineering: risk-scored test selection for release gates, LLM model deployment validation, GitOps canary testing (ArgoCD), OpenTelemetry observability, and predictive rollback systems
Project Experience
Microservices Progressive Rollout System
Designed and implemented automated canary and progressive rollout system for microservices-based applications. Technologies: Kubernetes, Helm, Jenkins, Python, Prometheus. Reduced deployment failures by 80% and enabled zero-downtime releases.
Multi-Environment Release Pipeline
Built comprehensive CI/CD pipelines supporting automated deployments across dev, staging, and production environments. Technologies: GitHub Actions, Terraform, Docker, Azure DevOps. Improved release frequency by 3x and reduced manual intervention by 90%.
Enterprise Application Rollback Automation
Developed automated rollback and hotfix procedures for enterprise applications with complex dependencies. Technologies: Ansible, Bash, AWS, CloudWatch. Reduced rollback time from 4 hours to 15 minutes.
AI-Driven Release Risk and LLM Deployment Validation
Built AI-powered release risk scoring system that analyzes code change blast radius, test coverage gaps, and historical failure patterns to predict release risk. Implemented automated LLM model deployment validation smoke tests and ArgoCD GitOps canary pipeline with OpenTelemetry trace correlation. Technologies: ArgoCD, GitOps, OpenTelemetry, AI-Driven Release Risk, ML-based Test Selection, LLM Deployment Validation, Python, Kubernetes, Prometheus.