Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Devops Engineer with 3+ years in AWS Cloud, CI/CD, and infrastructure automation.
3.5+ years of hands-on experience in AWS Cloud and DevOps, specializing in deployment automation, configuration management, and release processes. Skilled in designing and managing CI/CD pipelines using tools like Jenkins, GitLab CI, and Argo CD. Proficient in AWS services such as EC2, S3, RDS, VPC, Lambda, EKS, CloudWatch, and Route53. Experienced in infrastructure provisioning using Terraform and AWS CloudFormation (IaC) for scalable resource management. Strong expertise in Docker containerization and Kubernetes orchestration for microservices deployments. Implemented Blue-Green and Rolling Deployments for zero-downtime release strategies. Skilled in designing and managing end-to-end CI/CD pipelines using Azure DevOps for automated build, test, and deployment workflows across multiple environments. Experienced in configuring and working with Azure Repos, Pipelines, Artifacts, Test Plans, Boards, and integrating automation frameworks for continuous quality delivery. Proficient in implementing infrastructure automation, release orchestration, and monitoring to improve deployment speed, reliability, and DevOps maturity. Skilled in monitoring and alerting using Prometheus, Grafana, and AWS CloudWatch to ensure system uptime and performance. Configured and managed Auto Scaling Groups (ASG) and Load Balancers (ELB/ALB/NLB) for high availability and scalability. Proficient in Git-based version control (GitHub, GitLab) with branching strategies for collaborative development. Automated build, test, and deployment workflows to reduce release cycles and improve CI/CD reliability. Experience in troubleshooting production issues and providing L1/L2 operational support in cloud environments. Hands-on knowledge of Linux administration, including shell scripting for automation and maintenance tasks. Integrated SonarQube and Nexus Artifactory for code quality analysis and artifact management. Strong understanding of networking concepts, IAM policies, security groups, and VPC confi
K. Ramakrishnan College of Engineering, Trichy
Bachelor of Engineering (B.E.) · Mechanical Engineering
N/A – June 30, 2020
Tata Consultancy Services (TCS)
DevOps Engineer
December 1, 2021 – November 1, 2025
India
Telecom CRM & Billing System Automation
June 27, 2026 – Present
Automated CRM and billing workflows for a telecom system, ensuring high scalability, CI/CD efficiency, and fault tolerance across multiple environments. Designed and deployed Kubernetes clusters for microservice-based applications. Used Terraform and CloudFormation to provision network, compute, and storage resources on AWS. Automated build and deployment workflows with Jenkins integrated with GitLab for version control. Containerized CRM applications with Docker for consistent deployments across dev, QA, and prod environments. Designed and managed CI/CD pipelines in Azure DevOps for automated build, functional testing, and deployment of CRM & Billing microservices, ensuring faster and error-free releases across multiple environments. Integrated Azure Repos, Test Plans, and Pipelines to streamline automated test execution, track defects, and enable continuous delivery with improved traceability and release efficiency. Configured Load Balancers (ELB, ALB) for high availability and failover management. Monitored application and cluster metrics using Prometheus and Grafana. Performed backend validations on MySQL databases and ensured data integrity.
E-Commerce Cloud Deployment Automation
June 27, 2026 – Present
Automated the deployment and scaling of a high-traffic e-commerce application on AWS. Designed a robust CI/CD pipeline to ensure seamless code integration, build, test, and deployment while maintaining high availability and performance. Provisioned AWS resources using Terraform for EC2, S3, RDS, and VPC environments. Built CI/CD pipelines with Jenkins for automated build, test, and deployment of microservices. Containerized application components using Docker and deployed them to development and production environments. Configured CloudWatch and Grafana/Prometheus for monitoring system performance and triggering alerts. Implemented CI/CD pipelines in Azure DevOps to automate build, test, and deployment workflows for E-Commerce microservices, reducing deployment time and improving release reliability. Configured Azure Repos, Pipelines, Artifacts, and Release Management to streamline code integration, automated testing, and multi-environment deployments (Dev/UAT/Prod) with improved version control and traceability. Implemented code quality checks using SonarQube and managed artifacts via Nexus Artifactory. Integrated GitHub for version control and branching strategies for collaborative development. Performed database operations and validations using MySQL.
HRMS Cloud Transformation
June 27, 2026 – Present
Migrated an on-premise HRMS application to the cloud and implemented automated CI/CD pipelines to accelerate release cycles and improve monitoring. Developed serverless workflows using AWS Lambda and stored documents in S3. Automated deployment and testing using Jenkins pipelines with Dockerized application components. Performed code quality analysis with SonarQube and managed build artifacts in Nexus Artifactory. Implemented infrastructure as code using Terraform for RDS, Lambda, and networking components. Configured CloudWatch and Grafana dashboards for system performance monitoring and alerting. Assisted front-end development and integration using Angular (Basics). Ensured seamless CI/CD integration with GitHub and performed backend validations in MySQL.
AWS Certified Solutions Architect – Associate
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across e-commerce, telecom, and HRMS domains, coupled with experience in both AWS and Azure DevOps, suggests adaptability and a broad technical perspective. Their involvement in collaborative development and cross-functional teams indicates a team-oriented mindset. The breadth of skills aligns well with a dynamic DevOps culture that values continuous learning and diverse toolsets.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a DevOps Engineer role, evidenced by their focus on automation, CI/CD, monitoring, and cloud infrastructure management. Their project descriptions highlight collaboration and problem-solving, which are crucial soft skills for this role. The candidate's experience in troubleshooting production issues and providing L1/L2 support indicates a practical, hands-on approach to operations.