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Devops Engineer with 4+ years in CI/CD, AWS & Kubernetes
4.3 years of experience in Build, Production Support (L2), and DevOps with AWS, with strong focus on CI/CD pipeline setup and release delivery for applications running on Linux-based systems. Experienced in working on DevOps operational processes, release management, environment coordination, and production support activities. Extensively worked with Version Control Systems like Git for branch management, code versioning, and collaboration with development teams. Extensively worked with Jenkins to design, implement, and maintain end-to-end CI/CD pipelines, enabling automated build, test, and deployment workflows across multiple environments. Hands-on experience in Jenkins administration, including job creation, pipeline scripting, agent configuration, credential management, builds monitoring, and failure notifications. Strong experience with Docker, including building optimized Docker images, managing containers, handling image versioning, and ensuring consistency across development, testing, and production environments. Hands-on expertise in Kubernetes for deploying, scaling, and managing containerized applications using Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, and persistent storage with PV/PVC. Experienced in implementing high availability and fault-tolerant deployments in Kubernetes, including replica management, rolling updates, and pod-level troubleshooting. Good experience in Linux/Unix environments, including shell scripting for automating deployment activities, log rotation, health checks, and routine operational tasks. Developed and maintained Shell scripts to automate CI/CD tasks, container operations, Kubernetes deployments, and system monitoring. Strong troubleshooting skills in Docker and Kubernetes environments, including pod scheduling issues, image pull errors, container crashes, node-level issues, and application performance problems. Proven ability to analyze and resolve build, deployment, and production issues efficiently while
JNTU HYD
Bachelor of Technology
August 1, 2017 – June 30, 2021
C-EDGE Technologies Ltd
DevOps & CLOUD Engineer
January 1, 2022 – Present
India
BANCedge (Banking Domain)
January 1, 2022 – June 1, 2026
Automated build process using Maven, including dependency management and multi-environment packaging. Designed and maintained Jenkins CI/CD pipelines, enabling nightly builds and automated deployments across Dev/QA/Staging/Prod environments. Integrated Git → Jenkins → SonarQube → Nexus → Tomcat, ensuring continuous and reliable delivery of application builds. Managed Jenkins administration including plugin updates, job configuration, credential management, agent setup, and security handling. Wrote Shell scripts to automate deployment activities, log cleanup, environment validations, and service restarts. Performed Tomcat deployments, configuration tuning, log monitoring (catalina.out), and server restarts. Utilized Kubernetes for the runtime environment of the CI/CD system to build, test deploy. Generated weekly and monthly build/deployment reports for management review. Created Terraform modules for reusable infrastructure components across Dev, QA, and Production environments. Managed Terraform state files using remote backend to ensure consistency and collaboration across teams. Worked with Jenkins pipelines to trigger Terraform plan and apply for infrastructure changes.
NARCL (National Asset Reconstruction Company Limited)
January 1, 2022 – June 1, 2026
Implemented and maintained CI/CD pipelines supporting ongoing development of NARCL micro services. Built modules using Maven, handled dependency conflicts, and managed internal artifact versions. Integrated SonarQube for static code analysis, monitored quality gates, and improved code health during active development cycles. Configured Jenkins pipelines for automated build → code quality → artifact upload workflows for every commit. Built and optimized Docker images for microservices to ensure consistent runtime environments. Assisted in setting up internal development environments including Linux servers and Docker-based service containers. Troubleshot build failures, environment setup issues, configuration errors, and container runtime problems during development. Worked closely with developers during module integration, API changes, and component-level verification. Reduced deployment time by 30% by implementing automated pipelines across Dev, QA, Staging, and Production environments.
Cultural Fit Analysis
The candidate's project experience in banking and internal development shows adaptability to different domain contexts. Their focus on CI/CD, automation, and collaboration aligns well with modern DevOps culture. The breadth of skills across various tools (Kubernetes, Docker, Jenkins, Terraform, AWS, Linux, Shell Scripting, Maven, SonarQube, Grafana, Nexus, Tomcat) indicates a willingness to learn and apply diverse technologies, which is beneficial for cultural fit in dynamic environments. The experience with both infrastructure and application-level concerns suggests a holistic approach to DevOps.
Soft Skills & Operational Fit
The candidate demonstrates strong operational skills through their detailed project descriptions, highlighting problem-solving, automation, and collaboration with development teams. Their experience in production support and release management indicates a proactive approach to maintaining system stability and efficiency. The focus on reducing deployment time and improving code quality suggests a results-oriented mindset. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.