Kunj Shah

DevOps Engineer with 3+ years of experience in Azure, Kubernetes (AKS), and CI/CD automation. Experienced in building scalable cloud-native applications, optimizing deployment pipelines, and maintaining high system reliability. Strong background in production support, incident management, monitoring, and cross-functional collaboration. Hands-on experience in applying Generative AI for DevOps automation and developer productivity.

Certified Azure

DevOps Engineer Expert (AZ-400), Azure Developer Associate (AZ-204), and AWS Cloud Practitioner.

Software Engineer at Capgemini (2022-08 – Present)

• Designed and managed Azure DevOps CI/CD pipelines, reducing deployment time by 40% across microservices deployed on AKS
• Managed containerized workloads using Docker and Kubernetes (AKS), ensuring 99.9% uptime across environments
• Led production incident handling including Azure SQL point-in-time recovery, reducing downtime from 4 hours to 30 minutes
• Reduced deployment failures by 35% using logging, monitoring, and deployment best practices
• Contributed to frontend development using Angular for enterprise applications
• Optimized application performance, improving load times by 40% and reducing infrastructure cost by 20%
• Collaborated with backend and ML teams to integrate scalable REST APIs into cloud-native architecture
• Provided on-call support and resolved critical production issues
• Mentored developers on CI/CD pipelines and Kubernetes workflows

Bachelor of Engineering in Computer Engineering – LDRP Institute of Technology, Gujarat (2019 – 2022)

Diploma in Computer Engineering – Government Polytechnic Ahmedabad (2016 – 2019)