
Indhumitha Ram
Cloud DevOps Engineer
Skills

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Work experience
Site Reliability Engineer
Amazon • Full-time
Jan 2026 - Present • 6 mos
● Architected and optimized cost-effective AWS cloud infrastructure for deploying and operating a real-time GIS Velocity platform, ensuring high availability and scalability. ● Managed and maintained production deployments, release pipelines, and Kubernetes-based infrastructure to ensure reliable application delivery and platform stability. ● Provided 24×7 on-call support, troubleshooting and resolving infrastructure, platform, and customer-facing incidents while consistently meeting SLA targets. ● Reduced cloud infrastructure costs by designing and implementing a cost visualization and analytics tool that identified optimization opportunities across compute, storage, and networking resources.
Site Reliability Engineer
Oracle • Full-time
Mar 2025 - Sep 2025 • 6 mos
● Spearheaded the end-to-end deployment of microservices for a Tier-0 service, KIEV, on Oracle Cloud Infrastructure (OCI), ensuring seamless scalability and performance. ● Designed and implemented infrastructure as code (IaC) using Terraform, enabling repeatable, versioncontrolled provisioning and management of cloud resources. ● Ensured high availability and system resilience through proactive monitoring of application health, hosted nodes, and key customer-facing metrics using industry-standard observability tools. ● Led incident response and alarm management processes, swiftly troubleshooting and resolving critical issues to maintain service continuity and reduce downtime. ● Handled on-call responsibilities, providing timely support and resolution during customer-impacting incidents to ensure minimal disruption and maintain high customer satisfaction.
DevOps Engineering
Mercedes-Benz • Full-time
Jul 2023 - Mar 2025 • 1 yr 8 mos
Engineered an advanced cloud-native product, facilitating seamless simulation execution, enabling development and testing teams to run 100+ simulations daily—50% more than the previous manual solution. ● Orchestrated EKS cluster upgrades, troubleshooting and leveraging Karpenter for node provisioning, resulting in a 10% cost reduction by efficiently terminating unnecessary pods. ● Reduced simulation run time by 30% by optimizing image pull times for large Docker images, leveraging AWS EC2 Image Builder to create AMIs with pre-installed images. ● Automated AWS resource deployment (Database, VPCs) using AWS CloudFormation, improving environment consistency, and reducing manual resource creation by 70%. ● Streamlined CDK deployment process using GitLab CI/CD pipeline, resulting in faster production rollout and improving deployment frequency by 30%. ● Enhanced CI/CD workflows with GitLab CI, improving code quality, reducing post-deployment issues, and increasing test coverage to 70% for smoother releases ● Led the migration from AWS CloudFormation to Terraform for a project migration, modernizing infrastructure management. ● Established an Ansible script to automate Docker container deployment and dependency installation on remote servers, cutting manual deployment time by 70%.