
Vinayanjali
GCP devops engineer
Habilidades

Conheça meus serviços

Experiência profissional
Cloud infrastructure developer
Tata Consultancy Services • Período integral
Mar 2023 - Present • 3 yrs 5 mos
Managed GCP/GKE deployments for the Enterprise Pricing Platform (EPP), where Pricing Set IDs are defined within contract packages to orchestrate real-time claim data flow from submitters (E08, UMR, OCSP) to providers. Deployed, provisioned, and managed microservices architecture on GKE for highly available, real-time claim processing. Leveraged Terraform to provision and manage GKE Autopilot clusters with public endpoints, enabling a fully managed, scalable, and secure container environment for healthcare applications. Engineered a Terraform-based load balancer setup with health checks, DNS creation, and TLS termination; automated provider certificate generation and storage in GCP Secret Manager.Designed load balancer automation that retrieves SSL certificates from Secret Manager to configure Certificate Manager, DNS records, and frontend components, enforcing cloud security policies and IAM roles.Implemented Network Endpoint Groups (NEG) with load balancers to optimize traffic routing for GKE microservices and maintain high availability for real-time claim flows.Architected and built GCP lower-environment (Dev/Stage) infrastructure from scratch using a hub-and-spoke model to support migration of EPP live-flow components from on-premise systems.Engineered GitHub Actions workflow pipelines for Flink Data Products deployments, including manual dispatch triggers to select specific data products for automated deployment into GKE.Deployed submitter-specific streaming jobs on the Apache Flink dashboard to process live healthcare data, enabling end-to-end flow from on-premise Kafka topics through GCP PostgreSQL and Redis cache.Utilized Terraform and Terraspace Framework to maintain region-centric, modular infrastructure, sourcing centralized modules via Git URLs with strict version tagging for governance.Managed build artifacts (JAR files) using JFrog Artifactory and secured GKE deployments by configuring Kubernetes secrets for image pulling and microservice authentication