Preethi Thomas

Reduced AWS cloud costs by ~20% through rightsizing, auto-scaling optimization, and resource cleanup
Improved deployment frequency by 2-3x and reduced release failures by designing CI/CD pipelines using Harness, GitHub Actions, and AWS CodePipeline
Deployed and scaled 15+ microservices using AWS ECS (Fargate) and Lambda, improving scalability and reducing infrastructure overhead
Reduced MTTR by ~30-40% by implementing proactive monitoring and observability using Dynatrace
Increased security compliance coverage to 90%+ by integrating Wiz and Veracode into CI/CD pipelines
Achieved 99.9%+ application availability by designing highly available architectures using ALB, Auto Scaling, and VPC
Strengthened security posture by implementing IAM best practices, secrets management, and secure deployment pipelines

Soleplatform owner accountablefor cloud infrastructure, securityposture, and release reliability across 6production applicationsserving US
andIndia markets, operating in a cross-regionalIndia-US model with direct reporting to SeniorLeadership.

Led a 3-engineerDevOps team withfull ownership of cloud infrastructure design, releasepipeline delivery, andplatform automation across
multiple clientprogrammes, reporting to SeniorManager.
• Designed multi-environment AWS infrastructure using CloudFormation, establishing repeatable provisioning standards across 4+ client
projects and eliminating configuration drift between environments.
• Built and governed CI/CD pipelines using Azure DevOps and GitHub Actions, improving release velocity by standardising deployment
workflows across cross-functional development and QA teams.
• Led adoption of container orchestration best practices, improving deployment consistency across environments
• Implemented Helm-based deployment strategies for multi-environment releases (Dev, QA, Prod)
• Integrated Veracode and Snyk into release pipelines, enforcing automated security validation and quality standards across every release cycle
without manual security review overhead.
• Introduced Docker-based containerization governance across all project environments, establishing image versioning and environment parity
protocols that unified workloads from development through production.
• Instrumented CloudWatch, New Relic, and ELK Stack across client environments, improving log correlation and alert precision that cut mean
time-to-resolution for production incidents by 35%.

Heldfull accountabilityfor SaaSplatform infrastructurestability, releasepipelineperformance, and engineering qualitystandards, mentoring 3
junior engineers and reporting to SolutionArchitect.

Administered AWS cloud infrastructure and release pipelines
across production environments, implementing Docker containerization and configuring Auto Scaling Groups and Application Load Balancers
to sustain high availability. Supported enterprise application release operations across
Linux environments, developing shell scripts and applying monitoring tools to maintain deployment consistency and environment stability at
scale.