Headline

DevOps Engineer @ KPIT | Python | AWS | CI/CD | Docker | Kubernetes | Terraform | GitHub Actions

About

Hi, I’m Navin Chandra — a DevOps Engineer with 2+ years of experience building and automating scalable cloud systems. I work on designing CI/CD pipelines, containerizing applications, and managing Kubernetes deployments to make software delivery faster and more reliable. 💡 Skilled in: • AWS | Docker | Kubernetes | Helm • CI/CD: TeamCity, GitHub Actions, Jenkins • Python & Shell scripting for automation • Terraform & Infrastructure as Code I focus on simplifying deployments, reducing failures, and improving system reliability through automation and monitoring. Currently exploring how Generative AI can enhance DevOps workflows and automation. 🚀 Always learning. Always building. 📩 Open to connect and collaborate.

Location

Bengaluru

Work experience

Engineer at KPIT, Oct 2025 - Present · 9 mos, Bengaluru, • Containerized applications with Docker (multi-stage builds), managed full image lifecycle on Jfrog, and deployed to Kubernetes. • Managed Helm chart releases across dev, staging, and production; automated build and deployment workflows using Python and Bash scripting, reducing manual intervention. • Performed Root Cause Analysis (RCA) on CI/CD and Kubernetes failures; stabilized pipelines through targeted fixes, improved logging, and alerting integration. • Managed Git workflows (feature branching, PRs, tagging, releases) and enforced DevOps best practices across cross-functional teams. • Collaborated with developers to containerize new services, define Kubernetes manifests, and integrate them into existing CI/CD pipelines

Associate Software Engineer at KPIT, Apr 2024 - Oct 2025 · 1 yr 7 mos, Pune District, • Designed and implemented CI/CD pipelines using Jenkins and TeamCity, reducing deployment time and improving release reliability. • Automated workflows with Shell scripting, Python, and task automation, minimizing manual effort and boosting efficiency. • Leveraged AWS cloud services for secure, scalable, and cost-efficient infrastructure solutions. • Collaborated with teams to implement Version Control best practices using Git and GitHub, enabling smooth code integration and review. • Currently exploring Generative AI applications in DevOps to accelerate innovation and intelligent automation.

Trainee at KPIT, Oct 2023 - Apr 2024 · 7 mos, Pune, Maharashtra, India, • Built hands-on expertise in Docker, Kubernetes, Helm, and CI/CD pipelines through an intensive DevOps training program. • Provisioned and managed AWS infrastructure (EC2, S3, IAM, Lambda, VPC); automated tasks using Shell scripting and Python. • Deployed containerized applications on Minikube; managed pods, services, deployments, and ConfigMaps using kubectl

Cloud and Devops at EPAM Systems, Oct 2022 - Feb 2023 · 5 mos, Remote, Gained hands-on experience with CI/CD pipelines using Jenkins and TeamCity. Learned and practiced containerization & orchestration with Docker and Kubernetes. Implemented automation using Shell scripting and Python, improving workflow efficiency. Built foundational skills in AWS Cloud services for scalable infrastructure solutions. Worked with Git & GitHub for version control and collaboration. Learned SQL basics for database management and integration in DevOps workflows.

Data Engineer at Celebal Technologies, Jun 2022 - Jul 2022 · 2 mos

Education

Bachelor of Technology - BTech, Computer Science & Engineering, Lovely Professional University

Diploma, Computer Science, Prince institute of Innovative Technology