SAI KRISHNA G

DevOps Engineer

• Transitioned from Canary to Blue-Green deployment strategy; developed and implemented pipelines using Jenkins, Groovy, Terraform, and AWS for zero-downtime deployments.
• Maintained CI/CD pipelines for build, test, and deployment; integrated SonarQube with GitHub Actions for code quality and coverage.
• Applied IaC principles with Terraform for consistent, scalable cloud provisioning, and engineered S3 policies for strict IAM-based access control.
• Built GitHub Actions workflows to enforce PR merge restrictions and QE approvals; streamlined release processes with automated testing and deployment strategies.
• Introduced Serverless Redis, S3 Express, DynamoDB, and API Gateway Usage Quota into the tech stack.
• Designed a migration blueprint for 500+ repos from Bitbucket to GitHub, and from Jenkins to GitHub Actions; implemented integrations, and automated governance processes.
• Collaborated with DEV, QE, and Ops teams to resolve pain points, brainstorm solutions, and meet timelines; supported production deployments, and third-party app issues.
• Documented best practices, chaired CAB meetings to review deployment changes, and minimize risks.
• Created and automated Vault infrastructure with Terraform; integrated Vault with AWS, CI/CD, and Kubernetes for secure secret management, and compliance.
• Managed cloud infrastructure and automated deployments using Terraform, PowerShell, and Kubernetes; monitored clusters with New Relic and Prometheus.

SRE

• Defined and tracked SLIs, SLOs, and SLAs; automated incident response and alerting using Prometheus and Grafana; reduced MTTR through runbooks, and self-healing scripts.
• Enhanced reliability by introducing chaos engineering experiments, capacity planning, and proactive monitoring; optimized error budgets to balance innovation and stability.

Platform Engineering:

• Applied best practices for cloud security, including IAM policies, encryption, and vulnerability scanning.
• Automated golden path workflows and standardized platform components (Kubernetes clusters, CI/CD templates, observability stack) are designed to improve developer experience and scalability.