Tejaswini Hiwale

Leads a global DevOps team of 8 engineers supporting 100 developers, improving collaboration across on-prem and cloud environments while managing distributed systems. Overhauled CI/CD pipelines with deployment automation and security best practices, reducing support cases by 50%, and improved deployment consistency and MTTR by piloted AI-driven incident response and automation.

Architected and implemented CI/CD pipelines across Kubernetes, AWS, and Azure using Jenkins and Argo CD, improving deployment frequency by 28% for 50+ microservices with blue/green and canary strategies. Managed and scaled cloud infrastructure with Terraform and implemented end-to-end observability (metrics, logs, traces) to accelerate incident diagnosis and reduce MTTR by 25%, while optimizing AW

Led on-premise to AWS cloud migration using Terraform for infrastructure provisioning and deployments, reducing infrastructure costs for 50+ applications. Improved system efficiency by performance profiling of microservices to optimize response times by 25% and mentored junior engineers on cloud technologies and performance testing.

Authored and published 12 performance benchmarks for analytics solutions, contributing to an estimated 15% increase in deal conversion rates by showcasing technical capabilities on GCP and AWS. Deployed and optimized SAS products on GCP and AWS using Jenkins pipelines, driving benchmarking, monitoring, and tuning for system efficiency.

Owned end-to-end performance engineering for enterprise software across business integration, service grid platforms, and event processing ecosystems. Diagnosed complex performance bottlenecks and delivered actionable recommendations to development teams, resulting in a 60% improvement in product performance.

Completed a Master's in Computer Science at the University of Pune.

Completed a Bachelor's in Computer Science at the University of Pune.