Chandru K

About Chandru K

DevOps Engineer with 3+ years of hands-on experience building, automating, and operating cloud-native infrastructure across Azure, AWS, and GCP.I specialize in CI/CD automation, Infrastructure as Code, and Kubernetes-based deployments, with a strong focus on reducing manual effort, improving deployment reliability, and enabling faster delivery. I’ve driven multiple initiatives to standardize and automate CI/CD workflows by designing reusable pipelines and shared libraries that work across different CI platforms, significantly improving implementation speed and consistency across projects.I’ve worked closely with delivery and customer success teams to design and execute on-prem and cloud deployment models, including setting up foundation phases, defining infrastructure baselines, and providing accurate effort estimations based on the technology stack. This collaboration helped streamline project onboarding and reduce deployment risks in production environments.Cloud & DevOps experience:Azure (primary – production workloads)AWS, GCP (multi-cloud exposure)GitHub & CI platforms (automation and pipeline design)Kubernetes, Docker, Terraform, LinuxI enjoy solving real production problems, automating repetitive tasks, and building systems that are scalable, reliable, and easy to operate. Currently focused on deepening Kubernetes, Terraform, and cloud architecture skills to take ownership of complex production environments in product-driven teams.

Experience

1. Senior Analyst

   HCLTech

   Jul 2025 — Present · Madurai, IN

   Designed, implemented, and maintained end-to-end CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions for.NET, Java, and Node.js applications, enabling daily production releases and reducing release cycles from weekly to daily.Automated cloud infrastructure provisioning using Terraform and ARM templates, delivering consistent, repeatable deployments for AKS, App Services, Storage Accounts, and supporting Azure services while enforcing Infrastructure-as-Code best practices.Led the containerization of legacy monolithic applications into Docker-based microservices, improving application scalability and reducing infrastructure resource consumption by ~25%.Managed and operated Azure Kubernetes Service (AKS) clusters using Helm, HPA, and Kubernetes-native configurations, standardizing microservice deployments across Dev, QA, and Production environments.Integrated SonarQube (static code analysis) and Trivy (container image vulnerability scanning) into CI/CD pipelines, strengthening security posture and improving overall code quality and compliance by ~35%.Implemented monitoring and observability solutions using Azure Monitor, Log Analytics, and Application Insights, creating real-time dashboards for performance, availability, and system health to support proactive issue detection.Partnered closely with development and platform teams to troubleshoot build, deployment, and runtime issues, reducing production downtime by ~40% and improving deployment reliability.Contributed to maintaining 99.9% platform uptime by improving deployment stability, enforcing rollout best practices, and supporting business-critical production workloads.

Education

• Shanmugha Arts, Science, Technology and Research Academy

  Master of Computer Applications - MCA, Artificial Intelligence and Data science

• Shanmugha Arts, Science, Technology and Research Academy

  BCA, Information Technology