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Mahak Jain

@mahakjain4

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I’m a DevOps Engineer delivering AI-assisted CI/CD automation for cloud-native Kubernetes deployments.

India

Message

What I'm looking for

I’m looking to build and optimize AI-assisted DevOps automation—owning CI/CD and release engineering for cloud modernization, strengthening DevSecOps with secure scanning, and improving reliability through Kubernetes, monitoring, and continuous improvement.

I’m a results-driven DevOps Engineer with 3.5+ years of experience in cloud infrastructure automation, CI/CD engineering, DevOps, container orchestration, and cloud-native deployments across Azure and AWS environments. I’ve designed scalable deployment pipelines using Jenkins, Docker, Kubernetes, and Git-based workflows, focusing on improving deployment success rates and release efficiency.

Experience

Work history, roles, and key accomplishments

Current

Professional I DevOps Engineer

Current

Capgemini Engineering

Jul 2025 - Present (11 months)

Spearheaded Azure cloud deployment initiatives by implementing intelligent CI/CD workflows and release automation to improve deployment success rates. Developed and maintained 30+ Jenkins pipelines supporting Kubernetes-based microservices and scalable enterprise applications.

Azure Jenkins CI CD Pipelines Docker Kubernetes Release Automation Microservices Infrastructure Automation AI assisted Development

Associate II DevOps Engineer

Capgemini Engineering

Jul 2024 - Jun 2025 (11 months)

Integrated DevSecOps into CI/CD pipelines by implementing automated security scanning with Checkmarx and OWASP frameworks to enhance security and compliance. Managed Kubernetes container orchestration and Dockerized environments, improving deployment scalability and operational efficiency through continuous monitoring.

DevSecOps Checkmarx OWASP CI CD Pipelines Kubernetes Docker Monitoring Infrastructure Automation

Associate I DevOps Engineer

Capgemini Engineering

Oct 2022 - May 2024 (1 year 7 months)

Implemented and managed Docker and Kubernetes-based infrastructure to support scalable microservices deployments and cloud-native application delivery. Automated installation, build, and release workflows with Jenkins and InstallShield and provided production support via root-cause analysis and performance optimization.