Cloud DevOps Engineer with 2+ years in Azure, CI/CD, and Kubernetes
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Assessing your cultural and operational fit
Cloud & DevOps Engineer with 2+ years of experience, specializing in Microsoft Azure cloud infrastructure. Skilled in managing enterprise-scale cloud environments using Azure DevOps and Terraform. Experienced with Kubernetes, Docker, CI/CD pipelines, networking and modern cloud security practices. Proficient in Bash, PowerShell, Python and integrating monitoring for high-availability environments. Recognized for effective incident resolution, cross-team collaboration, delivering scalable reliable DevOps solutions.
Techno Main Salt Lake
B.Tech · EIE
August 1, 2019 – June 30, 2023
LTIMindtree
Cloud & DevOps Engineer
November 1, 2023 – Present
Bengaluru, Karnataka, India
Enterprise Microservices Deployment on Azure
January 1, 2024 – Present
Implemented CI/CD pipelines integrating code scanning, image scanning and automated AKS deployments. Deployed containerized microservices using Helm with rolling and blue-green strategies. Secured workloads using Private Endpoints, Azure AD RBAC and Key Vault CSI integration. Implemented observability stack using Azure Monitor, Prometheus and Grafana.
GitHub to AKS CI/CD Automation
November 1, 2023 – January 1, 2024
Integrated GitHub with Azure DevOps for CI/CD. Containerized apps with Docker and deployed to AKS and used Kubernetes YAML with rolling updates.
Cultural Fit Analysis
The candidate's professional experience at LTIMindtree and project diversity, including enterprise microservices deployment and GitHub to AKS automation, suggest adaptability to various project types and team environments. The explicit mention of Agile/Scrum practices and cross-team collaboration in the profile indicates a good cultural fit for modern DevOps teams. The breadth of skills across CI/CD, scripting, networking, and monitoring aligns well with a comprehensive DevOps culture.
Soft Skills & Operational Fit
The candidate's experience description highlights adherence to Agile/Scrum practices, use of JIRA for task tracking, and support for development/QA teams, indicating good operational fit and collaboration skills. The focus on reducing deployment times, improving build reliability, and optimizing resource utilization suggests a results-oriented approach.