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Devops Engineer with 5+ years in Cloud and CI/CD Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DevOps Engineer with 5+ years of experience managing enterprise-scale compute environments across On-Premises and Cloud platforms including Azure and AWS. Expertise in Linux/Unix administration, CI/CD automation, Kubernetes orchestration, infrastructure automation, and cloud migration initiatives. Strong experience in troubleshooting, performance tuning, Shell/Bash scripting, Terraform, Ansible, Docker, Kubernetes, and Azure DevOps.
Lovely Professional University
Bachelor of Technology · Electronics & Communication Engineering
N/A – June 30, 2020
Tata Consultancy Services (TCS)
System Engineer – DevOps Engineer
April 1, 2021 – Present
India
Enterprise Cloud Migration & Infrastructure Automation
June 15, 2026 – Present
Migrated enterprise workloads from On-Prem infrastructure to Microsoft Azure cloud. Automated infrastructure provisioning using Terraform and Ansible. Implemented CI/CD pipelines integrated with GitHub Actions and Azure DevOps. Improved infrastructure reliability through automation and monitoring.
COBOL to Java Modernization Project
June 15, 2026 – Present
Migrated legacy COBOL applications into Java microservices. Containerized applications using Docker and deployed on Kubernetes. Automated deployments using Jenkins pipelines. Used Terraform and Ansible for infrastructure automation.
Agentic AI DevOps Automation
June 15, 2026 – Present
Implemented AI-driven deployment validation and intelligent log analysis. Built automated rollback and failure prediction workflows. Integrated AI agents with Jenkins pipelines for proactive issue detection.
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services (TCS) and involvement in diverse projects like 'Enterprise Cloud Migration' and 'COBOL to Java Modernization' suggest adaptability and experience working in large, potentially global, team environments. The 'Agentic AI DevOps Automation' project indicates an interest in emerging technologies and proactive problem-solving, which aligns with a culture of innovation. However, the lack of specific details on team collaboration methodologies or contributions beyond technical tasks limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's professional experience and project descriptions indicate a strong operational fit for a DevOps Engineer role, emphasizing automation, reliability, and collaboration. The 'Agentic AI DevOps Automation' project suggests an interest in innovative solutions, which could be a valuable soft skill for continuous improvement.