Cloud Engineering · DevOps · Platform Systems
Avinash
Rajure
I design and automate cloud infrastructure - provisioning AWS with Terraform, orchestrating workloads on Kubernetes, and shipping through GitOps pipelines that take code from commit to production without manual steps in between.
About Me
DevOps Engineer & Platform Engineer
I'm Avinash Rajure, a B.Tech graduate in Artificial Intelligence & Machine Learning from GRIET, Hyderabad, focused on DevOps and cloud engineering. I build automated, scalable infrastructure using Kubernetes, Terraform, and Docker on Linux-based systems.
Currently an Associate Software Engineer (AASE) at Accenture, training in cloud-native microservices with Node.js and Spring Boot. Previously interned as a Software Development Engineer Intern at Alemeno, building Django backend systems and Docker-based CI/CD pipelines, and at Will2Care (IGENWILL Pvt. Ltd.), working on Node.js/Express backend APIs and AWS deployments. As Technical Lead at the Free Software Wing (FSW), I led student developer teams, built event platforms, and mentored 50+ students.
Education
B.Tech in Artificial Intelligence & Machine Learning
Gokaraju Rangaraju Institute of Engineering and Technology (GRIET)
Hyderabad · Aug 2022 – May 2026
CGPA 8.3 / 10Intermediate in MPC
Vidya Vikas Junior College
Bodhan · 2020 – 2022
My Skills
AWS Services
Containers & Orchestration
Infrastructure as Code
CI/CD & GitOps
Automation & Scripting
Monitoring & Observability
Backend & Databases
Languages & Methodologies
Work Experience
Associate Software Engineer (AASE)
Accenture · Hyderabad
- ▸Selected as a campus hire for the AASE role; currently in the cloud-native microservices training track.
- ▸Training covers both Node.js and Spring Boot for building microservices-based backend systems.
Projects
AWS EKS GitOps Infrastructure Platform
Provisioned production-style AWS infrastructure using Terraform: custom VPC, public/private/isolated subnets, NAT Gateway, ALB, Amazon EKS cluster, and RDS PostgreSQL in isolated database subnets. Implemented IAM/OIDC/IRSA for secure Kubernetes-to-AWS authentication without static credentials. Built GitHub Actions CI/CD with Docker Buildx caching, SHA-tagged immutable images, and Argo CD for full GitOps delivery from Git commit to automated EKS rolling update.
AutoKube – Automated Kubernetes Cluster with Ansible
An automated multi-node Kubernetes cluster orchestration project using Ansible and kubeadm. Provisions a production-style control plane and worker nodes on AWS EC2 with fully idempotent, role-based automation. The entire cluster lifecycle is managed through a single master playbook, ensuring safe execution order and dynamic worker node joining.
DevOps Local Lab Platform
A fully automated local DevOps platform that provisions a production-like Kubernetes environment on a laptop. Built using Docker, kind, a local container registry, and Argo CD, with a single CLI to manage the entire lifecycle (up, down, status, destroy). Designed to understand real-world DevOps concepts like registry mirrors, GitOps, idempotency, and infrastructure automation.
WhatsApp → Notion AI Bridge
A smart placement message parser that uses whatsapp-web.js and a local LLM (Mistral via Ollama) to extract structured data from WhatsApp and sync it to a Notion dashboard. Designed for campus placement automation - built in a day, runs fully offline.