PAVAN KUMAR V
Junior DevOps Engineer
Docker • Kubernetes • Jenkins • AWS • Grafana • CI/CD Automation
Building scalable, automated pipelines for zero-downtime deployments in production — from Linux server automation and containerization to real-time monitoring in EV manufacturing plants integrated with PLC systems.
Bangalore, India • +91 7090167278 • pavankumar2000v@gmail.com
Professional Summary
- • Junior DevOps Engineer with 2+ years of progressive experience (including internships and ongoing project deployments) in application deployment, infrastructure automation, server management, log monitoring, and scripting in production and industrial environments.
- • Skilled in Linux-based deployments, Python and Shell automation, database operations, and ensuring high-availability systems integrated with PLC-controlled manufacturing lines.
- • Experienced in transitioning from application support and IoT development to core DevOps practices.
- • Hands-on contributions to CI/CD workflows, containerization experiments (Docker), and cloud basics (AWS EC2/S3).
- • Passionate about building scalable, automated pipelines to enhance deployment reliability, reduce downtime, and improve overall operational efficiency.
Technical Skills
Cloud & Infrastructure:
AWS Basics (EC2, S3), Linux Server Management, Docker, Kubernetes Basics
CI/CD & Automation:
Jenkins, Git/GitHub, Python Scripting, Shell Scripting
Monitoring & Logging:
Log Analysis, Server Performance Monitoring, Grafana Basics
Databases:
MySQL, DBeaver, SQL Query Automation, VS Code
Other DevOps Tools:
Terraform (Learning), GitOps Principles
Core Skills:
Application Deployment, Troubleshooting, IoT/Edge Deployment, PLC Integration
Professional Experience
Junior DevOps Engineer
Sense-Ops Tech Solutions – Bangalore, India (Aug 2023 – July 2025)
Client: Hero MotoCorp Vida Electric Vehicle Battery Project
- • Automated deployment processes for manufacturing applications on production Linux servers using Python and Shell scripts, minimizing downtime in live plant operations connected to PLC-controlled CNC machines.
- • Monitored server performance, conducted in-depth log analysis, and resolved issues proactively to maintain 99%+ application stability in high-volume EV production environments.
- • Built and maintained real-time monitoring dashboards using Grafana to visualize key operational data server metrics, production line status, and application performance, enabling faster decision-making and proactive issue detection for the client team.
- • Designed and executed data validation workflows with DBeaver and SQL on MySQL databases, preventing data discrepancies and ensuring operational integrity.
- • Performed comprehensive manual testing, bug identification, and documentation prior to deployments, coordinating with cross-functional teams for smooth releases.
- • Served as primary client contact for technical queries, generating and delivering operational reports to support decision-making.
- • Explored containerization with Docker for application portability and consistency across environments.
DevOps & IoT Intern
Sense-Ops Tech Solutions, Bangalore, India (May 2023 – July 2023)
- • Developed automation scripts in Python for deploying and configuring IoT applications on Raspberry Pi and embedded Linux devices.
- • Set up version control workflows with Git, enabling team collaboration and reproducible builds for hardware-software prototypes.
- • Performed end-to-end testing, debugging, and log-based troubleshooting, laying foundation for reliable deployment practices.
Project Experience
Automated Deployment Pipeline for EV Manufacturing Application (Production Project)
- • Built Shell and Python-based automation for deploying applications to production servers integrated with PLC systems.
- • Implemented log monitoring scripts and database validation checks, simulating CI/CD stages for zero-downtime releases.
- • Result: Streamlined deployments in a high-stakes manufacturing environment supporting EV battery production.
Dockerized IoT Monitoring System – Industrial 3D Scanner
- • Containerized a Raspberry Pi-based 3D scanner application using Docker for portable deployment.
- • Automated data pipeline from LiDAR sensors to MySQL database with Python scripts, including basic orchestration testing.
- • Added log aggregation and alerting, demonstrating DevOps principles in edge computing.
CI/CD Experiment with Jenkins & Docker (Personal DevOps Project – 2025)
- • Set up a Jenkins pipeline for a sample web application, integrating Git, Docker builds, and automated testing.
- • Deployed to local Kubernetes cluster (Minikube), achieving automated blue-green deployments.
- • Incorporated monitoring with Prometheus basics for container health checks. (GitHub: Add link – Highly recommended to create this)
Cloud Infrastructure Basics on AWS (Self-Learning Project – Ongoing)
- • Provisioned EC2 instances and S3 storage using AWS Free Tier, with basic Terraform scripts for IaC.
- • Deployed a simple Python application with automated setup via Shell scripts.
Education
Bachelor of Engineering in Mechatronics Engineering
The Oxford College of Engineering, Bangalore
Graduated: August 2023 | GPA: 6.5