I'm Himanshu Kumar - a Senior Automation QA Engineer from Noida, India, actively transitioning into DevOps Engineering.
I spent 5+ years making sure software doesn't break - writing test frameworks, CI pipelines, and automation suites that run thousands of validations before a single line reaches production. Now I'm channeling that same obsession with reliability into the infrastructure layer: building pipelines, containerizing workloads, provisioning cloud infrastructure, and making deployments something you look forward to, not dread.
Most DevOps engineers learn to care about quality. I already do - from the other side of the wall.
📍 Noida, India | 🏢 Bhavna Software India Pvt Ltd | 📬 himanshu.kumar244@gmail.com
QA Automation (5+ yrs) DevOps Transition (Now) Target Role
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✅ Selenium / TestNG 🔄 Docker + Kubernetes 🎯 DevOps Engineer
✅ CI with Jenkins 🔄 Terraform (AWS IaC) 🎯 Platform Engineer
✅ API Testing 🔄 Ansible Automation 🎯 SRE / Cloud Engineer
✅ Git workflows 🔄 GitHub Actions CI/CD
✅ Java / Python 🔄 Shell Scripting (production-grade)
✅ Postman / REST 🔄 Linux deep-dive
🔄 AWS (EC2, S3, IAM, VPC)
| ☁️ Cloud & IaC |
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| 🐳 Containers & Orch. |
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| ⚙️ CI/CD & GitOps |
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| 💻 Languages |
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| 🧪 QA & Testing |
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| 🖥️ OS & Tools |
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Production-grade container portfolio covering the full Docker lifecycle — from Dockerfiles to security scanning. Highlights:
⭐ 3 stars · 146 commits |
End-to-end DevOps practice covering the full toolchain — from pipeline automation to cloud infrastructure. Highlights:
⭐ 2 stars · 76 commits |
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Real-world shell scripts for sysadmin automation, monitoring, and DevOps tasks. Highlights:
⭐ 2 stars |
Hands-on Jenkins learning from declarative pipelines to advanced CI/CD patterns. Highlights:
⭐ 1 star |
Most DevOps engineers focus on speed of delivery. I bring quality thinking into the pipeline itself:
| QA Mindset I Bring | How It Helps in DevOps |
|---|---|
| 🔍 Failure-mode thinking | I design pipelines that handle edge cases, not just happy paths |
| 📋 Test coverage awareness | I know what needs validation before code ships to prod |
| 🔄 Regression prevention | I build gates that catch regressions at the pipeline level |
| 🐛 Root cause analysis | Debugging prod issues is my natural habitat |
| 📊 Observability instinct | I've always needed to know if something broke — and why |
focus_areas:
- "AWS Solutions Architect concepts (EC2, VPC, IAM, S3, RDS)"
- "Kubernetes: Deployments, Services, Ingress, HPA, Helm charts"
- "Terraform: Multi-resource AWS infrastructure provisioning"
- "GitHub Actions: Full CI/CD pipeline (build → test → push → deploy)"
- "Monitoring: Prometheus + Grafana observability stack"
next_projects:
- "End-to-end CI/CD pipeline: GitHub → Docker → ECR → EKS"
- "Terraform AWS: Full VPC + EC2 + RDS + ALB infrastructure"
- "Grafana dashboard: Application + infrastructure observability"
certifications_target:
- "AWS Certified Cloud Practitioner"
- "AWS Certified DevOps Engineer – Professional"
- "Certified Kubernetes Administrator (CKA)"
💬 "I used to find bugs before they reached users. Now I build the infrastructure that makes sure they never reach production in the first place."
