Hi, I'm
Manish Kumar
DevOps & Cloud Engineer
BCA graduate (2026) from New Delhi who builds production-style infrastructure, not just tutorials — self-managed Kubernetes clusters, Terraform/Ansible automation, and CI/CD pipelines with Jenkins and GitHub Actions across AWS, Azure and GCP.
About
I'm a Bachelor of Computer Applications graduate (2026) from Ganga Institute of Technology and Management, Delhi NCR, looking for my first role as a DevOps or Cloud Engineer.
My learning centres on Kubernetes, Terraform, Ansible and multi-cloud infrastructure — I've spent most of my time provisioning self-managed clusters, automating server setup as code, and shipping zero-downtime deployments across AWS, Azure and GCP. I care about repeatable, version-controlled infrastructure over manual, one-off setup.
Outside of core DevOps tooling, I work comfortably with Linux administration, Docker, CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI), Prometheus & Grafana for monitoring, and Bash/Python scripting.
Quick facts
Skills
Multi-cloud infrastructure fundamentals backed by containers, IaC and CI/CD tooling used to build production-style systems.
Cloud Platforms
DevOps & CI/CD
Infrastructure as Code
Containers & Orchestration
Operating Systems
Monitoring & Observability
Networking & Debugging
Scripting & Version Control
Projects
Three self-directed, production-style builds spanning orchestration, infrastructure automation, and containerized deployment.
A self-managed Kubernetes cluster on AWS EC2 with a live, zero-downtime rolling update.
- Provisioned a self-managed cluster with kubeadm on an AWS EC2 (Amazon Linux 2) instance, configuring kube-apiserver, scheduler, controller-manager, etcd, kubelet and kube-proxy.
- Deployed a static website exposed via a Kubernetes NodePort Service (port 80 → 30080), reachable without an external load balancer.
- Executed a live, zero-downtime rolling update (v1.0 → v2.0) with kubectl set image, tuning maxUnavailable/maxSurge; validated with socat-based traffic debugging and peer testing.
An Infrastructure-as-Code workflow that cut average server configuration time by 70%.
- Provisioned AWS EC2 instances using Terraform IaC — version-controlled, repeatable environments across dev and staging.
- Defined custom VPCs, subnets and security groups as code to control traffic and isolate environments.
- Configured a remote state backend (S3 + DynamoDB locking) to prevent conflicts on shared infrastructure.
- Authored Ansible playbooks automating package installation, user configuration, firewall enforcement and Nginx setup — cutting average server configuration time by 70%.
A containerized Flask app served behind Nginx as a load-balancing reverse proxy.
- Containerized a Python Flask application with a multi-stage Docker build, shrinking image size for faster, lighter deployments.
- Configured Nginx as a reverse proxy and load balancer in a Docker Compose setup, distributing requests across multiple Flask containers.
- Managed environment variables and secrets via .env files, following 12-factor app conventions.
Education
Certifications
Additional training: Docker & Kubernetes — The Practical Guide · DevOps Beginners to Advanced with Projects.