Savithri Marati
Open to work3 years experienceQA Engineer
QA Engineer | DevOps & Cloud Infrastructure (AWS)
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
35 skillsWork Experience
Associate QA Engineer
ScleraVDMS Private Limited
- Performed functional, regression, and smoke testing for microservices prior to release, coordinating with development teams to triage and log defects; used Claude with MCP (Model Context Protocol) to accelerate test case authoring for regression coverage.
- Built and maintained CI/CD pipelines using Jenkins and GitHub Actions, reducing manual deployment steps and increasing release frequency across multiple services.
- Provisioned AWS infrastructure (EC2, S3, RDS, IAM, VPC, EKS, Route 53, CloudWatch) using Terraform, enabling repeatable, auditable deployments across dev, staging, and production environments.
- Containerized microservices with Docker and deployed to AWS EKS, supporting zero-downtime rolling updates; contributed to an ongoing monolith-to-microservices migration.
- Implemented GitOps workflows with Argo CD, enabling version-controlled deployments and faster rollback during production incidents.
- Reduced cloud infrastructure costs by approximately 20% through EC2 rightsizing, S3 lifecycle policies, and Reserved Instance planning.
- Built and operated an end-to-end MLOps pipeline (MLflow, DVC, Docker, KServe), reducing model deployment cycle time by approximately 60%.
- Built monitoring dashboards with Prometheus and Grafana and maintained centralized logging with the EFK stack, improving P1/P2 incident response and cross-service troubleshooting.
- Automated routine infrastructure health checks with Bash and Python, and configured IAM roles and security groups following least-privilege principles.
- Managed Helm chart deployments for standardized packaging, maintained Ansible playbooks for server provisioning, and mentored new team members on CI/CD and cloud practices.
Junior System Engineer
Access Research Labs (ARL)
- Managed and monitored Linux-based server infrastructure, ensuring system stability, uptime, and performance across production and staging environments.
- Assisted in provisioning AWS cloud resources (EC2, S3, IAM) and supported initial Terraform-based infrastructure automation.
- Set up and maintained CI/CD pipelines using Jenkins, supporting faster and more reliable application deployments.
- Performed routine system health checks, log analysis, and incident triage, resolving P1/P2 issues to maintain SLA compliance.
- Collaborated with development teams on GitFlow branching strategies, code review gates, and quality checks within CI/CD workflows.
- Containerized applications using Docker and assisted with initial Kubernetes deployment configurations for microservices.
- Authored and maintained internal runbooks and documentation for system administration and incident response.
Projects
Production-Grade MLOps Pipeline (Customer Churn Prediction Model)
- Designed an end-to-end ML pipeline with CI/CD integration, dataset versioning via DVC, and Kubernetes-based model serving.
- Enabled continuous training and deployment using Argo CD and KServe, reducing deployment cycle time by approximately 60%.
Asset Data Collection Platform (Three-Tier Architecture)
- Designed and deployed a three-tier microservices architecture (React frontend, Node.js backend, PostgreSQL database) using Docker and Kubernetes.
- Built Jenkins CI/CD pipelines and Terraform IaC modules for automated infrastructure provisioning and application delivery.
- Implemented a GitOps workflow with Argo CD and Helm, integrated Prometheus/Grafana monitoring, and centralized logging with the EFK stack.
AWS Cloud Cost Optimization
- Rightsized EC2 instances based on utilization metrics, eliminating overprovisioned compute and reducing monthly EC2 spend.
- Wrote an AWS Lambda function to automatically identify and delete stale/orphaned EBS snapshots, reducing unnecessary storage costs.
- Implemented S3 lifecycle policies to transition and expire objects based on access patterns, cutting storage costs across environments.
Inventory Management System (Microservices)
- Handled deployment of a multi-service microservices platform comprising 4 services: Authentication and User services (Java), a Notification service (Go) built with Kafka for event-driven messaging, and a Data Processing service (Python).
- Containerized and deployed each service independently, coordinating releases and monitoring across a polyglot microservices stack.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Cloud Cost Optimization
Reduced EC2/S3 cloud spend by 20% through rightsizing and lifecycle policy optimization.
MLOps Deployment Efficiency
Cut MLOps deployment cycle time by 60%.
About Details
Professional Bio
QA Engineer with 3 years 5 months of experience spanning quality assurance and DevOps/cloud infrastructure engineering on AWS. Experienced in building CI/CD pipelines, provisioning infrastructure as code with Terraform, and operating Kubernetes workloads in production.
Bachelor of Engineering in Electronics and Communication Engineering
Canara Engineering College (2019 - 2023)