Headline

DevOps Engineer | AWS | Azure | Kubernetes | Automating Cloud Infrastructure at scale | 99.9% Uptime | 80% Faster Deployments

About

DevOps Engineer with 3+ years of experience managing Kubernetes workloads on AWS EKS and Azure AKS, building CI/CD pipelines, and provisioning cloud infrastructure using Terraform. Currently working at Capgemini on CapBrain, an AI-powered recruitment platform for the CISO client running on Azure AKS. Previously worked on a containerised fraud detection platform on Amazon EKS for a fintech client under PCI DSS compliance requirements. Day-to-day work includes Kubernetes operations, CI/CD maintenance, observability tuning, production troubleshooting, on-call incident support, and supporting application teams with deployments and onboarding. Core skills: → Kubernetes (EKS, AKS), Helm, ArgoCD GitOps, workload troubleshooting → Terraform for AWS & Azure infrastructure automation → CI/CD using Jenkins, Azure DevOps, GitHub Actions, ArgoCD → Observability with Prometheus, Grafana, ELK Stack, CloudWatch, X-Ray → Security: IRSA, KMS, Secrets Manager, Azure Key Vault, PCI DSS → Linux, Bash/Python scripting, log analysis, operational support Certifications: DOP-C02, AZ-400 , AZ-104 , AZ-500 CKA (In Progress) Open to DevOps Engineer, Platform Engineer, and SRE roles - Bengaluru, PAN India, and Remote.

Location

Bengaluru

AI stack

cursor

github copilot

ollama

openai

Work experience

DevOps Engineer at Capgemini, Mar 2023 - Present · 3 yrs 4 mos, Bengaluru, Karnataka, India, Worked across two production platforms, currently on CapBrain (Azure AKS) and previously on a fraud detection system (Amazon EKS) for a fintech client under PCI DSS compliance. Infrastructure & Kubernetes: • Managing AKS clusters across dev/test/prod (~8 nodes each) via Terraform; HPA tuning (2–10 pods), node health checks, and kubectl-based workload debugging • Provisioned AWS infrastructure via Terraform - EKS (~6 nodes, 2 node groups), VPC, ECR, DynamoDB, SQS, Secrets Manager, KMS, CloudTrail; remote state in S3 with DynamoDB locking • Maintaining ArgoCD GitOps workflows (App-of-Apps pattern); resolving sync drift and failed rollouts • Configured IRSA-scoped IAM roles per service account across 5 microservices; passed PCI DSS audit with no findings • Implemented Istio service mesh for mTLS and inter-service traffic policy enforcement in production • Supported containerisation of 5 monolithic services using canary and blue-green strategies with Helm CI/CD & Pipelines: • Maintaining Jenkins and Azure DevOps pipelines (dev → test → prod) for a 20-person team; coordinating releases with QA and onboarding new services • Built and maintained GitHub Actions pipelines for staging and production with defined stage gates and approval workflows • SonarQube integrated as a CI quality gate; coordinating developer remediation before production promotion Observability & Incidents: • Operating Prometheus, Grafana, Azure Monitor, and ELK Stack; SLO-aligned alerting, incident triage via Kibana and kubectl logs during on-call • Set up CloudWatch Container Insights and X-Ray tracing; identified a DynamoDB hot-key pattern (p99 ~800ms → ~90ms) through trace analysis. • Integrated ServiceNow REST API for automated incident ticketing on CloudWatch alarms • Bash and Python scripts for log rotation, health checks, and maintenance.

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Ramachandra College of Engineering RCEE