Headline

DevOps / Cloud Support Engineer | GCP | Kubernetes | CI/CD | Incident Management | Production Support

About

DevOps / Cloud Support Engineer with 3+ years of experience supporting and deploying production-grade microservices on Google Cloud Platform (GKE). Currently working as a Technical Support Engineer (L2) at Digitral, responsible for Kubernetes-based microservice deployments, CI/CD pipeline execution, monitoring and alerting, incident management, RCA, SIT/UAT support, change request (CR) execution, and 24×7 production support for high-traffic telecom applications serving millions of users. Actively involved in Dev support activities including application troubleshooting, log analysis, database validation (SQL, Cassandra, Elasticsearch, Bigtable), production deployment handling, release coordination, and scaling of microservices. Hands-on with GCP, Kubernetes, Jenkins, Cloud Build, Prometheus, logging, and Linux automation, contributing to stable and scalable cloud platforms.

Location

Visakhapatnam

Work experience

Technical Support Engineer|devops support at Digitral - Innovation Driven, Nov 2022 - Present · 3 yrs 7 mos, India, L2 DevOps / Cloud Support Engineer with 3+ years of experience supporting production-grade microservices on Google Cloud Platform (GKE). Hands-on in Kubernetes operations, CI/CD pipelines, monitoring & alerting, incident management, RCA, and 24×7 production support for high-traffic telecom applications serving millions of users. Strong in GCP, Kubernetes, Jenkins, Cloud Build, Prometheus, logging, and Linux automation. Actively looking for opportunities in DevOps / Cloud Support / SRE roles.

Technical Support Engineer at Digitral Pvt Ltd, Nov 2022 - Present · 3 yrs 7 mos, Deployed and supported Java microservices on Google Kubernetes Engine using Jenkins, Cloud Build, Docker, and Ansible. Implemented Kubernetes observability using GCP Cloud Monitoring, Prometheus alerts, and Elasticsearch dashboards, reducing MTTR by 35%. Automated health checks, log rotation, and payment monitoring using Bash scripts and cron jobs. Performed incident triage, root cause analysis (RCA), and production issue resolution for high-traffic applications. Conducted System Integration Testing (SIT), raised infrastructure and ACL requests, and supported CR deployments. Optimized API logging configurations, reducing GCP infrastructure costs by 25%. Analyzed SQL and Elasticsearch data to identify transaction failures, fraud patterns, and performance bottlenecks. Supported Kubernetes auto-scaling using HPA and resource tuning to handle peak traffic loads.

Education

Master of Technology, Computer Engineering, GITAM Deemed University

Bachelor's degree, Computer Science, Lovely Professional University