Headline

DevOps Engineer @cognizant | AWS | Kubernetes | Terraform | CI/CD | Docker | Jenkins | Automating Scalable Cloud Infrastructure| open to work

About

DevOps Engineer at Cognizant, specializing in AWS, Kubernetes, and CI/CD pipeline design. Leveraged tools such as Jenkins, GitLab CI/CD, and Terraform to streamline infrastructure provisioning and deployment processes, reducing time and enhancing efficiency. Played a key role in deploying and managing containerized applications using Docker and Kubernetes in AWS environments, improving scalability and availability. Holds a Bachelor of Engineering in Civil Engineering from Sri Aurobindo Institute of Technology and completed a certification in Data Science with Artificial Intelligence from upGrad. Additionally, earned certifications in Google Cloud (ACE) and Kubernetes, demonstrating a commitment to continuous learning and professional development. Skilled in microservices, Terraform, and site reliability engineering, with a focus on driving automation and system reliability.

Location

Pune City

AI stack

claude code

claude

gemini

openai

perplexity

Work experience

DevOps Engineer at Cognizant, Apr 2023 - Present · 3 yrs 4 mos, Pune, Maharashtra, India, DevOps Engineer | Cognizant • Designed and maintained CI/CD pipelines using Jenkins and GitLab CI/CD, reducing deployment time by ~40% and minimizing manual intervention • Automated infrastructure provisioning using Terraform, enabling consistent environment setup and reducing provisioning time by ~50% • Deployed and managed containerized applications using Docker and Kubernetes in AWS environments, improving application scalability and availability • Implemented monitoring, logging, and observability using Splunk, Dynatrace, Datadog, and AWS CloudWatch, reducing incident detection and resolution time by ~30% • Collaborated with development teams to streamline release processes, resulting in faster release cycles and improved application performance • Worked on cost optimization initiatives by analyzing cloud resource usage, achieving ~15–20% reduction in infrastructure costs.

Education

Bachelor of Engineering - BE, Civil Engineering, Sri Aurobindo Institute of Technology

Data Science with Artificial Intelligence, Data Modeling/Warehousing and Database Administration, upGrad.com