Devops Engineer with 5+ years in Cloud Services, GCP & Infrastructure Automation
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Proficient in cloud services, DevOps tools, and infrastructure automation with over 4+ years of experience working with GCP, Docker, Kubernetes, and AWS. Strong problem-solving and collaboration skills, with a focus on optimizing workflows and delivering robust solutions.
Savitribai Phule Pune University
Bachelor of Engineering
August 1, 2016 – June 30, 2019
Guru Gobind Singh, Polytechnic
Diploma
August 1, 2012 – June 30, 2016
TCS
GCP DevOps Engineer
June 1, 2025 – Present
India
Galaxy Weblinks Inc
DevOps Engineer
February 1, 2022 – May 1, 2025
India
Infomanav
Cloud Support Associate
February 1, 2021 – February 1, 2022
India
Cadex
June 15, 2026 – Present
• Deployment and Orchestration: Deployed multiple microservices on Google Kubernetes Engine (GKE), leveraging Istio for service mesh, traffic management, and secure communication between services. • CI/CD Pipeline: Designed and implemented a CI/CD pipeline using Google Cloud Build, automating builds, tests, and deployments across multiple environments (dev, QA, staging) with integration to GitHub as the version control system. • Dockerization: Dockerized all microservices to ensure portability, consistency across different environments, and seamless integration into the CI/CD pipeline. • Infrastructure as Code: Provisioned and managed cloud infrastructure using Terragrunt to define, deploy, and maintain GCP resources with modular and reusable configurations. • Code Quality and Analysis: Integrated SonarQube into the CI/CD pipeline for continuous code quality checks, ensuring adherence to coding standards, and maintaining code health. • Monitoring and Logging: Set up robust monitoring using Prometheus and Grafana for real-time performance tracking and alerting, and integrated Loki for centralized logging and analysis across services.
Amplify
June 15, 2026 – Present
• Deployed multiple microservices on Amazon Elastic Kubernetes Service (EKS), utilizing Istio service mesh for traffic management, observability, and secure inter-service communication. • Configured secure and scalable static website hosting on Amazon S3 using bucket policies and access controls. • Implemented AWS CodeCommit for version control and seamless collaboration. • Created a CI/CD pipeline with AWS CodeBuild and CodePipeline for automated processes. • Integrated Grafana, Prometheus, and Loki for system monitoring. • Implemented Helm charts for deployments, streamlining application release management and ensuring consistent Kubernetes configurations • Implemented Sqitch for database automation, enabling version-controlled schema changes and seamless deployments Technologies used : Docker, K8s, Aws Codebuild, Aws Codepipeline, Sonarqube, Grafana, Prometheus, Loki, Sqitch.
Cultural Fit Analysis
The candidate's experience across multiple cloud providers (GCP, AWS) and diverse projects (Cadex, Amplify) indicates adaptability and a broad skill set, which aligns well with dynamic environments. The mention of mentoring junior engineers suggests a willingness to contribute to team growth and knowledge sharing. The consistent application of best practices like IaC, CI/CD, and monitoring across projects shows a commitment to quality and operational excellence.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with data engineering teams and cross-functional teams, as well as mentoring junior engineers, indicating good team collaboration and leadership potential. The focus on optimizing workflows and delivering robust solutions suggests a problem-solving and efficiency-oriented mindset. The detailed project descriptions demonstrate a structured approach to DevOps practices.