Vaishnavi Rambhad

Cloud & DevOps Engineer with 2.5+ years of experience in AWS cloud infrastructure, CI/CD automation, and Infrastructure as Code (IaC). Skilled in AWS CDK, CloudFormation, Docker, Kubernetes, Linux, and Git, with hands-on experience in automating deployments, managing cloud resources, and supporting production environments. Experienced in migrating manually created AWS resources into reusable infrastructure code and improving deployment efficiency through automation.

Senior Software Engineer (DevOps) at Capgemini (2025-07 – Present)

• Owned AWS infrastructure across 4 isolated environments (Dev/QA/UAT/Prod), enforcing IAM least-privilege policies, VPC security configurations, and environment-level governance for a production multi-tenant system.
• Architected and automated 50+ AWS resources using AWS CDK (TypeScript), eliminating manual provisioning and reducing configuration drift; migrated legacy CloudFormation stacks to CDK, improving deployment reliability by 40%.
• Delivered 150+ deployments/year (3/week) via structured GitLab CI/CD pipelines with environment promotion gates and branching strategy enforcement.
• Designed Auto Scaling Groups and Launch Templates for high availability; reduced EC2 and ECS costs by 30% through right-sizing and reserved instance analysis.
• Led production on-call rotations - triaged and resolved incidents, drove MTTD/MTTR improvements, and maintained SLO-level service reliability across all environments.
• Mentored junior engineers via MR reviews and technical Q&A, improving team code quality and onboarding velocity.

Software Engineer (DevOps) at Capgemini (2023-12 – 2025-06)

• Built containerized workloads end-to-end: authored Dockerfiles, built and published images to Amazon ECR, and deployed services on ECS using both Fargate and EC2 launch types.
• Designed event-driven pipelines using AWS Lambda, SQS, SNS, and Kinesis Firehose to process and route data at scale across distributed systems with high throughput and fault tolerance.
• Developed and maintained multi-environment IaC stacks (AWS CDK + CloudFormation), enabling consistent, repeatable deployments across Dev/QA/UAT/Prod with zero manual provisioning.
• Instrumented CloudWatch alarms, log groups, and dashboards to improve observability - reduced MTTD for production incidents and enabled SLO tracking across services.
• Automated CI/CD pipelines (GitLab CI/CD and Jenkins), eliminating manual deployment toil and improving release consistency and rollback confidence.

Software Engineering Intern at UpHill Tech (2022-01 – 2022-06)

• Built research paper submission and review workflow in Salesforce (EasyChair process handling).

Engineering Intern at DRDO, Centre for Airborne Systems (2021-12 – 2022-01)

• Developed a Data Extraction Tool in C++ for airborne systems data processing.

Bachelor of Technology (B.Tech) in Computer Science & Engineering – G.H. Raisoni College of Engineering (GHRCE)