ANURAG YADAVDEVOPS ENGINEER

DevOps Engineer with 3+ years of hands-on experience designing, automating, and operating production-grade cloud infrastructure across AWS, Azure, and GCP. Strong expertise in CI/CD pipelines, Kubernetes orchestration, Terraform-based infrastructure automation, observability, and security-first deployments for scalable web and microservices platforms.

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CORE EXPERTISE

Cloud Platforms

AWS, Azure, GCP, DigitalOcean · Multi-Account, Multi-Environment Architectures · Cost-Optimization, Secure Cloud Design

CI/CD Automation

GitHub Actions, GitLab CI/CD · Pipeline Architecture, Deployment Strategies, Pipeline Optimization

Containers & Kubernetes

Docker, Podman, EKS, MicroK8s · HPA, Helm, Containerized Microservices, GPU Workloads

Scripting & Automation

Python, Bash · Infrastructure Automation, Operational Workflows, Security Hardening

Infrastructure As Code

Terraform, Ansible · Module Design, State Management, Automated Provisioning

Observability

Prometheus, Grafana, Uptime Kuma · Proactive Alerting, System Monitoring, Incident Response

Security

IAM, OIDC, Secrets Management, Trivy, OWASP ZAP · Security-First Deployments, Vulnerability Scanning, Hardening

PROFESSIONAL EXPERIENCE

DevOps Engineer – VegaStack

Oct 2022 – Present

Key Responsibilities

  • Designed, automated, and operated production-grade CI/CD platforms across AWS, Azure, and GCP using GitLab CI/CD, GitHub Actions, and Terraform.
  • Managed self-hosted GitLab environments for multiple clients, improving repository governance, pipeline reliability, and developer productivity.
  • Built and maintained Kubernetes platforms (Amazon EKS, MicroK8s) with autoscaling (HPA) to support containerized microservices and GPU-based workloads.
  • Architected and deployed scalable web and serverless applications (Django, Node.js, React) behind Nginx with secure IAM, secrets, and zero-downtime strategies.
  • Automated infrastructure provisioning and migrations across multi-account AWS and multi-subscription Azure environments using Terraform.
  • Implemented monitoring, alerting, and observability stacks using Prometheus, Grafana, Zabbix, and Uptime Kuma.
  • Developed Bash and Python automation for security hardening, backups, Cloudflare Zero Trust tunnels, and Slack-based operational workflows.
  • Owned the end-to-end infrastructure lifecycle, including architecture design, automation, deployment, monitoring, and production support.

Key Achievements

  • Reduced AWS EC2 migration effort and downtime by ~30% through automated, repeatable Terraform-based migration workflows.
  • Enabled secure, scalable, multi-environment deployments on GCP across Cloud Run, Cloud Functions, IAM, and Artifact Registry.
  • Delivered large-scale, batch-based Azure VM provisioning across regions and subscriptions to accelerate QA and testing workflows.
  • Improved system observability and incident response time through proactive monitoring and alerting implementations.
  • Successfully led weekly production deployments with rollback readiness, ensuring stable releases and minimal service disruption.
  • Led multi-account AWS service migrations in collaboration with cross-functional teams, ensuring seamless transitions with zero critical outages.
  • Produced architecture diagrams, operational documentation, and onboarding guides using Notion and Loom to improve client communication and knowledge sharing.

SKILLS

SCM Tools

Git, GitHub, GitLab

Cloud Platforms

AWS, Azure, GCP

Orchestration Tools

Docker, Podman, Kubernetes

CI/CD Tools

GitHub Actions, GitLab CI/CD, AWS DevOps

Infrastructure Automation

Terraform, Ansible

Code Analysis & Security

SonarQube, Trivy, OWASP ZAP

Linux & Web Servers

RHEL8, Ubuntu, Nginx, Apache

Monitoring Tools

Prometheus, Grafana, Uptime Kuma

Programming & Scripting

Python, Bash Shell

Soft Skills

Communication, Collaboration, Problem Solving, Teamwork, Leadership, Time Management, Adaptability