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70K+ LinkedIn Family | Senior DevOps Engineer @ NCSI | Docker | Kubernetes | Terraform | Jenkins | Linux | Shell / Bash | Git | Ansible | Dynatrace | Helm Charts | ELK | ITSM | Kafka | EKS |
My DevOps journey has been shaped by curiosity, automation, and a drive to build reliable systems. It started with Linux, where I learned to understand systems from the inside out managing servers, troubleshooting issues, and optimizing performance. Alongside it, Shell scripting became my first step into automation, helping me eliminate repetitive tasks and build efficient operational workflows. Version control and collaboration became seamless with GitHub. It’s where code lives, evolves, and integrates forming the backbone of structured development and CI/CD processes in my projects. As applications modernized, I adopted Docker to containerize workloads, ensuring consistency across environments. But containers alone weren’t enough managing them at scale led me to Kubernetes (K8s), where I orchestrate deployments, manage scaling, and maintain high availability. To simplify Kubernetes deployments, I use Helm, packaging applications into manageable and reusable charts. Cloud infrastructure became the foundation of scalability in my work with Amazon Web Services. From provisioning resources to designing secure, resilient architectures, AWS enables me to build systems that are both flexible and production-ready. For monitoring and visibility, I rely on the Elastic Stack (ELK) to centralize logs, analyze system behavior, and quickly troubleshoot issues ensuring reliability at every stage. Tying everything together is a strong focus on CI/CD practices automating build, test, and deployment pipelines to deliver faster, safer, and more consistent releases. Each tool in my stack plays a role in a bigger mission: bridging development and operations, automating intelligently, and building scalable systems that empower teams to innovate with confidence. SKILLS: Platform: Linux Containerization: Docker, Kubernetes AWS: EC2, S3, EBS, ELB, IAM, VPC , CodeCommit , CodeDe
JSPMs Jayawantrao Sawant College of Engineering, Handewadi Road, Hadapsar, Pune 28.
Bachelor of Engineering - BE, Computer Engineering
January 1, 2015 – January 1, 2018
Dr. Babasaheb Ambedkar Technological University
Diploma In Computer Engineer , Computer Engineering
January 1, 2012 – January 1, 2015
NCS Group
Senior DevOps Engineer
January 1, 2026 – Present
On-site
NCS Group
DevOps Rapid Response Specialist
May 1, 2024 – January 1, 2026
On-site
Tata Consultancy Services
DevOps Engineer
January 1, 2023 – May 1, 2024
Pune District, Maharashtra, India · On-site
Scienaptic AI
DevOps Engineer
May 1, 2022 – December 1, 2022
Bengaluru, Karnataka, India
Dassault Systèmes
R&D Cloud Operation Specialist
April 1, 2021 – May 1, 2022
Dassault Systèmes
Cloud RUN R&D Run Online Operations Associate Engineer
August 1, 2018 – April 1, 2021
Deploying an Nginx Container using Jenkins CI/CD Pipeline
September 1, 2025 – September 1, 2025
I just completed an educational DevOps project: "Deploying an Nginx Container using Jenkins CI/CD Pipeline" 🔗 GitHub Repo: https://github.com/pra9jambare/JenkinsDeployContainer/blob/main/README.md 🛠️ Project Highlights: Automated deployment of a Dockerized Nginx web server End-to-end CI/CD pipeline built using Jenkins Integrated with GitHub for source code management Hosted on Ubuntu with Docker for containerization 🎯 What I Achieved: Learned how to connect Jenkins with GitHub for automated builds Gained hands-on experience with Docker pipelines in Jenkins Understood the full deployment lifecycle from code → container → live application This was a great hands-on experience to understand the CI/CD process from scratch. Next up: Adding container orchestration with Kubernetes! 💥 #DevOps #Docker #Jenkins #CI_CD #GitHub #Nginx #Linux #LearningByDoing #OpenSource
Document-Based Chatbot using Generative AI
August 1, 2025 – September 1, 2025
Super excited to share something I’ve been working on! I’ve built a Document-Based Chatbot using Generative AI 🤖 Unlike regular chatbots, this one doesn’t go to the internet or rely on external services like ChatGPT. Instead, it reads your uploaded documents (PDFs) and answers questions only from that content. A small step toward building AI solutions that are simple, practical, and focused. This project is a hands-on way to explore: 🔹 Using LangChain + FAISS for document embeddings & retrieval 🔹 Leveraging OpenAI models for generating responses 🔹 Building an interactive Streamlit UI for easy use 👉 Check it out here: https://lnkd.in/dSsfYZEM This is just the beginning, and there’s so much more we can build on top of it! Would love for you all to explore, try it out, and share feedback. Let’s learn together and grow together Reference : AAkriti E-Learning Academy Generative AI Made Easy #AI #GenerativeAI #Chatbot #LangChain #Streamlit #OpenAI #LearningTogether #BuildInPublic
GoLang -Learn From The Scratch
April 1, 2024 – April 1, 2024
This repository serves as a platform for educational purposes, where I've endeavored to incorporate all the fundamental concepts required for mastering GoLang.
Minikube ArgoCD
April 1, 2024 – April 1, 2024
🔍 Dive into the world of Kubernetes cluster management with our latest project repository: Minikube & ArgoCD! 🌐 🎓 Designed for educational purposes, this repository offers a comprehensive guide to setting up a Minikube cluster using ArgoCD, perfect for beginners and seasoned developers alike. Whether you're new to Kubernetes or looking to enhance your monitoring skills, this project has got you covered! 📂 Explore the Repository: https://github.com/pra9jambare/minikube_argocd 🔑 Key Features: Step-by-step guidance for seamless deployment and monitoring Essential files and manifest examples for practical learning Integration with Minikube and ArgoCD for streamlined development processes 🚀 Flow of the Project: Minikube Installation ArgoCD Installation on K8s Cluster GitHub Repository Integration with ArgoCD for Deployment Experimentation and Learning through GitHub Repository updates 👉 How to Get Started: Visit the Repository Clone the Repository Follow the Guides Experiment and Learn! 📚 This project is a valuable resource for anyone looking to expand their knowledge in DevOps and Kubernetes. Feel free to explore the repository and reach out with any questions or feedback. Let's learn and grow together! 🌱💡 #Minikube #ArgoCD #Kubernetes #DevOps #GitHub #Education #OpenSource #LearningByExample #DeveloperCommunity
Minikube Prometheus Grafana Monitoring
March 1, 2024 – April 1, 2024
Introducing the Minikube Prometheus Grafana Monitoring project repository! This repository has been crafted with education in mind, aiming to empower individuals starting from scratch to build and monitor a Minikube cluster using Prometheus and Grafana.
Advanced Terraform
June 23, 2026 – Present
Kubernetes: Package Management with Helm
June 23, 2026 – Present
DevOps with AWS
June 23, 2026 – Present
Agile Project Management with Jira
June 23, 2026 – Present
DevOps Foundations: Site Reliability Engineering
June 23, 2026 – Present
Graphite and Grafana: Visualizing Application Performance
June 23, 2026 – Present
AWS Certified Solutions Architect - Associate 2020
Udemy
June 23, 2026 – Present
Bash Scripting & Shell Programming
Udemy
June 23, 2026 – Present
MTA: Introduction to Programming Using Python - Certified 2021
Microsoft
June 23, 2026 – Present
Certificate Of Completion Learning Python
June 23, 2026 – Present
Certificate Of Completion Learning Kubernetes
June 23, 2026 – Present
Certificate Of Completion Learning Docker
June 23, 2026 – Present
Exam Tips AWS Certified SysOps Administrator
June 23, 2026 – Present
Certificate Of Completion Learning Ansible 2017
June 23, 2026 – Present
Certificate Of Completion Linux Bash Shell and Scripts
June 23, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a DevOps role through their continuous learning initiatives and project diversity. Their personal projects, such as 'Deploying an Nginx Container using Jenkins CI/CD Pipeline', 'Minikube ArgoCD', and 'Minikube Prometheus Grafana Monitoring', directly align with core DevOps principles and tools. The 'GoLang - Learn From The Scratch' project shows a commitment to expanding programming language skills, which is valuable for automation and tool development. The 'Document-Based Chatbot using Generative AI' project, while not directly DevOps, showcases an interest in emerging technologies and a proactive learning attitude. The breadth of skills and continuous self-improvement align well with an innovative and growth-oriented technical culture.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight responsibilities such as managing major incidents, developing monitoring dashboards, creating SOPs, and collaborating with network teams. This indicates a strong operational mindset, problem-solving abilities, and a capacity for structured work. The project descriptions also show initiative and a learning-by-doing approach, which are positive indicators for cultural and operational fit in a dynamic DevOps environment.