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Devops Engineer with 5+ years in Cloud Services, GCP & Infrastructure 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
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.