Swetha S
Open to work2 years experienceAWS DevOps Engineer
AWS DevOps Engineer with expertise in cloud infrastructure, CI/CD automation, and container orchestration.
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Skills & Technologies
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Work Experience
AWS DevOps Engineer
Quadrasystems
- Orchestrated containerized workloads using Amazon ECS (EC2 & Fargate), Amazon EKS (EC2 node groups), and AWS Elastic Beanstalk for multi-container applications, including designing scalable architectures and providing cost estimations for client solutions.
- Designed and implemented Disaster Recovery (DR) strategies, executing DR drills with failover and failback for ECS and Elastic Beanstalk workloads, ensuring business continuity and validating recovery objectives (RTO/RPO).
- Provisioned and managed databases including Amazon RDS (MySQL & PostgreSQL) and Amazon DocumentDB, enabling Multi-AZ high availability , automated backups, and performance tuning for production environments.
- Deployed static and dynamic applications using Amazon S3 and CloudFront for global content delivery , and built serverless APIs with API Gateway and AWS Lambda to ensure secure and low-latency access.
- Developed and optimized CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy by improving build efficiency , enabling automated deployments, and implementing blue-green strategies to reduce deployment time and minimize downtime.
- Implemented automated start/stop scheduling for non-production ECS services and EC2 instances using AWS EventBridge and Lambda, significantly reducing infrastructure costs by shutting down resources during non-business hours.
- Implemented monitoring and logging using Amazon CloudWatch and AWS CloudTrail, creating dashboards, alerts, and audit mechanisms to proactively detect issues and improve system reliability .
- Automated infrastructure provisioning using Terraform, and developed Lambda-based solutions for cost optimization by analyzing resource utilization across ECS, EKS, and RDS environments.
Associate Cloud Engineer
Whizlabs
- Experienced in designing and managing cloud infrastructure on AWS and Azure, including compute services (EC2, ECS, EKS, Lambda, AKS, VM, ACS), networking and security (VPC, IAM, VNET, Azure Firewall, RBAC), storage solutions (S3, Blob Storage), and automation using ARM Templates and Azure SDK.
- Proficient in implementing identity and access management with Entra ID and Azure Policies, as well as monitoring solutions like Azure Monitor.
- Resolved production issues for labs and sandboxes by updating Terraform configuration files with policies and revising lab steps to reflect recent UI changes on AWS and Azure for B2B and retail users.
- Developed Azure labs, including Azure Policies, architecture diagrams, detailed lab steps, and validation functions to ensure lab accuracy and functionality .
- Created a Data Abuse Protection solution for Azure using Python SDK, deployed on Azure Functions to monitor and manage user abuse costs in labs.
Cloud Support Engineer
Whizlabs
- Provided troubleshooting support for cloud-based labs, including AWS, Azure, GCP, Kubernetes, and Python environments, ensuring minimal downtime.
- Resolved support tickets efficiently , maintaining a 24-hour resolution timeframe and ensuring timely updates for users.
- Tested cloud labs regularly and updated documentation with the latest steps and screenshots to reflect new features and UI changes.
- Communicated with users via calls to diagnose issues, provide clear explanations, and deliver effective solutions.
- Collaborated with cross-functional teams to identify and address recurring issues, improving lab reliability and user satisfaction.
Projects
HRMS Application
- Deployed a microservices-based HRMS application on Amazon ECS (EC2) with integrated RDS database, enabling scalable architecture and automated CI/CD pipelines for seamless deployments.
AI Application
- Implemented containerized deployment on Amazon ECS (Fargate) with CI/CD automation; hosted frontend static content on Amazon S3 with CloudFront for secure and low-latency delivery .
DaaS Application
- Deployed application on Amazon EKS (EC2 nodes) using Helm charts, Kubernetes manifests, and EBS CSI drivers; integrated frontend hosting via S3 and CloudFront for high availability .
Frontend Server Application
- Deployed application on AWS Elastic Beanstalk with static frontend hosted on S3 and CloudFront; executed Disaster Recovery (DR) drills with failover and failback to ensure business continuity .
Invoice Management System
- Supported containerization using Docker and deployment via Amazon ECR and ECS (EC2); integrated on-premises data using Virtual Private Gateway and Azure AD authentication, with CI/CD pipelines using CodePipeline and CodeBuild.
Leaderboard Standings
Leaderboard Position Pending
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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
Certifications
Microsoft Certified Azure Fundamentals, Microsoft Certified Azure Data Fundamentals, Microsoft Certified AI Fundamentals, Microsoft Certified Security, Compliance and Identity Fundamentals, Microsoft Certified Azure Administrator Associate, AWS Certified Cloud Practitioner
About Details
Professional Bio
AWS DevOps Engineer with expertise in cloud infrastructure, CI/CD automation, container orchestration, and cost optimization on AWS.
Bachelor of Engineering in Computer Science
United Institute of Technology (2019 - 2023)
Higher Secondary
SRI Avinashilingam Higher Secondary School ( - 2019)