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Devops Engineer with 6+ years in AWS, CI/CD & Kubernetes
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Assessing your cultural and operational fit
DevOps/Support Engineer with 6+ years of experience in designing CI/CD pipelines, managing AWS infrastructure, and automating deployments using Docker and Kubernetes. Proven ability to optimize performance, reduce manual effort by up to 95%, and ensure system availability through proactive monitoring. Strong background in scripting (Bash/Python), Terraform, Jenkins, and modern observability tools.
Ambedkar Institute of technology
Computer Science engineering · Computer Science
August 1, 2014 – June 30, 2017
Cognizant
Devops Engineer
October 1, 2023 – Present
Noida, Uttar Pradesh, India
Amazon
Technical Customer Service Associate
October 1, 2019 – October 1, 2023
Bengaluru, Karnataka, India
Databridge Migrator – Informatica to Databricks Automation Framework
January 1, 2025 – April 1, 2025
Automated end-to-end migration of Informatica workflows to Databricks using Python, pmrep, and Airflow DAG generation. Used DAB (Terraform-backed) and GitLab CI to auto-deploy workflows on push, ensuring consistent job provisioning. Achieved 90% manual effort reduction and delivered ahead of schedule with improved deployment reliability.
End-to-End CI/CD Automation for Containerized Node and Python based Application on AWS
October 1, 2023 – April 1, 2024
Built CI/CD pipeline for Node.js + TypeScript app using Jenkins, Docker, and Terraform. Deployed containerized services on AWS EC2 and Kubernetes with NGINX SSL proxy and ECR integration. Automated lint/test/build steps and post-deploy notifications across environments. Created monitoring dashboards and alerts for container health and performance using Prometheus and Grafana.
AWS Certified AI Practitioner
Unknown
August 1, 2025 – August 1, 2028
AWS Certified Cloud Practitioner
Unknown
March 1, 2023 – March 1, 2026
Cultural Fit Analysis
The candidate's project diversity, ranging from data migration automation to full-stack CI/CD, indicates adaptability and a broad technical interest. The focus on reducing manual effort and improving reliability aligns well with a culture that values efficiency and automation. The experience in a customer service role, while not directly technical, suggests a service-oriented mindset which can be beneficial in a DevOps role interacting with development teams. The recent transition to a dedicated DevOps role at Cognizant shows clear career alignment with the target role.
Soft Skills & Operational Fit
The candidate's previous role at Amazon as a Technical Customer Service Associate suggests strong problem-solving, communication, and troubleshooting skills, which are valuable for a DevOps role. The ability to navigate multiple internal tools and document SOPs indicates good operational discipline and a focus on efficiency. The profile highlights a proactive approach to monitoring and system availability.