▪ Led the migration from a Jenkins-based CI/CD pipeline to GitLab CI/CD o Integrated Grafana Labs k6 for in-depth load testing, enabling early detection of performance bottlenecks. o Created a dedicated stage for chaos engineering using Gremlin, reducing Change Failure Rate (CFR) by 26% by “shifting left” the identification of single points of failure. o Increased deployment frequency by 33% leveraging caching, Directed Acyclic Graph (DAG) patterns, parent-child pipelines, and purpose-built containers for CI jobs, resulting in faster and more reliable releases to production. o Integrated Policy-as-Code using Open Policy Agent (OPA) for automated compliance checks in CI/CD pipelines, ensuring security and governance across Terraform infrastructure and Kubernetes deployments. ▪ Reduced monthly Kubernetes costs by 41% in GKE and EKS by implementing interruption-resilient workloads, allowing seamless use of Spot VMs without affecting application availability. ▪ Implemented GitOps with Argo CD, utilizing sync waves, auto-sync, and Argo Rollouts for zero-downtime canary deployments and metrics-based rollbacks in multi-cluster EKS/GKE. ▪ Designed and Implemented advanced Serverless and Event-Driven architectures in AWS with Terraform, using services such as API Gateway, Step Functions, AWS Lambda, DynamoDB, Amazon S3 and AWS SQS, eliminating infrastructure management and achieving automatic scaling. ▪ Developed custom Kubernetes operators in Go, which enabled deployment auto-scaling by correlating metrics, traces, and logs using OpenTelemetry, enhancing resource efficiency and reducing operational costs.

▪ Implemented automated incident response and SLO tracking, reducing mean time to resolution (MTTR) by 21%, alongside advanced PromQL queries and Grafana dashboards for observability. ▪ Recreated and replaced infrastructure built manually through the AWS Console with Terraform, modularizing it for consistency, scalability, and maintainability and following IaC best practices. ▪ Automated configuration management of Linux-based EC2 instances using Ansible playbooks and Bash scripts, ensuring consistent configurations and reduced drift across environments.