Dhanraj Gangnaik | Cloud & DevOps Engineer

Dhanraj Gangnaik

Dhanraj Gangnaik is a Cloud & DevOps Engineer specializing in Kubernetes, self-hosted infrastructure, CI/CD pipelines, and hybrid cloud systems.

About

Dhanraj Gangnaik is a Cloud and DevOps Engineer focused on designing and operating production-style infrastructure across self-hosted and hybrid cloud environments.

He builds Kubernetes platforms, CI/CD pipelines, GitOps workflows, and observability systems using tools such as Prometheus, Grafana, and Proxmox.

His work emphasizes reliability, scalability, and reproducibility, translating complex distributed systems into resilient, production-ready architectures.

Education

Ajeenkya D Y Patil University

B.Tech in Information Technology (Cloud Technology & Information Security)

2022 - 2026

Core Skills

Kubernetes

Docker

Python

PostgreSQL

Linux

Nginx

CI/CD

GitOps

Prometheus

Grafana

Proxmox VE

Rancher

Terraform

Ansible

AWS

Gitea

Talos Linux

Distributed Systems

Observability

Featured Projects

Infrastructure and platform engineering projects

These projects reflect my work in self-hosted cloud infrastructure, Kubernetes, observability, automation, and CI/CD system design.

Self-Hosted Data Platform

2025

Designed and operated a distributed self-hosted data and observability platform across multiple Proxmox VMs.

• PostgreSQL HA with replication and WAL archiving • Prometheus and Grafana for metrics, alerting, and dashboards • ClickHouse-based centralized log analytics pipeline • TimescaleDB for time-series workloads • Multi-service deployment across distributed infrastructure

Built end-to-end telemetry pipelines for metrics, logs, and time-series analytics, enabling SQL-driven detection and full-stack observability.

PrometheusGrafanaTimescaleDBClickHouseDockerLinux

Kubernetes HA Cluster

2025

Designed and deployed a 9-node high-availability Kubernetes cluster using Talos Linux.

• 3 control planes + 6 worker nodes • MetalLB for LoadBalancer networking • Ingress-NGINX for traffic routing • Rancher for cluster lifecycle management • Distributed workload orchestration and scheduling

Engineered for control-plane resilience, high availability, and production-style Kubernetes operations in a self-hosted environment.

KubernetesTalosMetalLBIngress-NGINXRancher

Hybrid Cloud Kubernetes Failover System

2026

Engineered a hybrid cloud Kubernetes architecture combining a self-hosted Talos cluster with AWS EKS for failover.

• Local cluster as primary workload environment • AWS EKS as standby failover layer • Ingress-based traffic switching between environments • Cross-cluster workload validation and synchronization • Foundation for automated failover and hybrid deployment strategies

Designed for high availability, workload continuity, and hybrid cloud resilience.

KubernetesTalosAWS EKSNginxMetalLBIngress-NGINX

Currently Working On

Building self-hosted delivery and AI platform systems

My current focus is on designing a self-hosted CI/CD pipeline and building a self-hosted MLOps platform with GPU-backed runtime, orchestration, and automation foundations across my homelab environment.

Ongoing

Self-Hosted CI/CD Pipeline

Gitea • Woodpecker • Docker Registry

Building a self-hosted CI/CD platform for automated software delivery.

• Source control with Gitea • CI orchestration using Woodpecker runners • Container build and private registry pipelines • TLS, reverse proxy, and authentication integration • Automated build and deployment workflows

Focused on pipeline reliability, runner stability, and secure artifact distribution.

Ongoing

Self-Hosted MLOps Platform

OpenClaw • LiteLLM • GPU VM

Designing a self-hosted MLOps and AI runtime platform.

• GPU passthrough on Proxmox • LiteLLM-based model gateway • Multi-VM architecture for control and inference layers • Containerized AI workloads and internal networking • Foundation for orchestration and model serving

Building toward a full-stack AI platform integrating infrastructure, orchestration, and inference services.

Contact

Let’s Connect

I’m actively seeking opportunities in Cloud Engineering, DevOps, Site Reliability Engineering, and platform-focused infrastructure roles. If you’re hiring or building systems in cloud, automation, Kubernetes, or self-hosted infrastructure, feel free to reach out.

Email Me LinkedIn GitHub