AWS DevOps Engineer - Terraform, CI/CD, Kubernetes

Ashish Kangale

Nagpur, Maharashtra, India +91-932******* ***************@*****.*** linkedin.com/in/ashish-kangale github.com/Ashishkangale DevOps Engineer AWS Kubernetes Docker Jenkins Terraform CI/CD Pipelines Linux Cloud Infrastructure Automation

PROFESSIONAL SUMMARY

Results-driven DevOps Engineer with production-grade experience designing and operating AWS cloud infrastructure, Docker con- tainerization, Kubernetes Container Orchestration, Jenkins CI/CD pipelines, and Terraform Infrastructure as Code. Architected end-to-end automated deployment pipelines, AI-powered self-healing infrastructure platforms, and Cloud Native applications on AWS EC2. Proficient in Linux system administration, Bash and Python automation scripting, IAM security, VPC networking, container health monitoring, and infrastructure reliability engineering. Seeking a full-time DevOps Engineer or Cloud Infrastructure Engineer role to build scalable, secure, and cost-optimized production systems. EDUCATION

Bachelor of Technology in Engineering Expected: May 2026 Yeshwantrao Chavan College of Engineering, RTMNU University, Nagpur, Maharashtra CGPA: 7.8 / 10 TECHNICAL SKILLS

Cloud Platforms: AWS EC2, S3, IAM, VPC, Security Groups, Elastic IP, Lambda, API Gateway, EKS Container Orchestration and Containerization: Docker, Kubernetes (K8s), Container Orchestration, Horizontal Pod Autoscaler

(HPA), PersistentVolumeClaim (PVC), ConfigMaps, Kubernetes Secrets, Liveness Probes, Readiness Probes CI/CD and Automation: Jenkins, GitHub Integration, CI/CD Pipelines, Deployment Automation, Pipeline Scripting, Automated Build and Release

Infrastructure as Code: Terraform, AWS Resource Provisioning, Full-Stack Environment Automation Scripting and Programming: Python (Automation Scripting), Bash, Shell Scripting, Cron Jobs Networking and Security: DNS, HTTP/HTTPS, TCP/IP, SSL/TLS, Load Balancing, VPC, Subnets, IAM, Reverse Proxy Linux Administration: Ubuntu, SSH, Process Monitoring, File Permissions, Service Management, Log Analysis, System Troubleshoot- ing

Monitoring and Database: Log Monitoring, Container Health Checks, Resource Monitoring, MySQL Version Control: Git, GitHub

PROJECTS

TaskFlow: Production-Grade DevOps CI/CD Pipeline on Kubernetes Tech Stack: Kubernetes, Jenkins, Docker, AWS EC2, Node.js, MySQL, DockerHub

- Engineered a full end-to-end CI/CD pipeline using Jenkins and Docker that auto-triggers on GitHub push, builds and tags Docker images, pushes to DockerHub, and deploys to a self-managed Kubernetes cluster on AWS EC2 with zero manual intervention.

- Implemented production Kubernetes Container Orchestration features: Namespace isolation, ConfigMaps, Kubernetes Secrets, PersistentVolumeClaims for MySQL data persistence, and Liveness and Readiness probes for zero-downtime health management and automated container recovery.

- Configured Horizontal Pod Autoscaler to scale pods from 1 to 5 replicas under load; enforced zero-downtime rolling updates with maxSurge 1 and maxUnavailable 0; applied resource limits and namespace isolation for production-grade security and cost optimization. AI Self-Healing DevOps Platform

Tech Stack: Python, Docker, Jenkins, Terraform, AWS EC2, OpenAI API, Bash, Git

- Architected an AI-powered automated infrastructure recovery platform that monitors container failures, analyzes logs via OpenAI API, and autonomously executes recovery decisions including RESTART, PORT FIX, REBUILD, and REDEPLOY in Linux-based production environments.

- Provisioned complete AWS cloud infrastructure including EC2, Security Groups, Elastic IP, and VPC networking using Terraform Infrastructure as Code, enabling full environment recreation in under 5 minutes from a single automated pipeline run.

- Built a predictive failure monitoring engine tracking container restart frequency, HTTP error spikes, crash loop patterns, and instability trends to trigger preventive automated recovery before total application downtime occurs.

- Automated CI/CD deployments via Jenkins with GitHub integration; containerized the platform using Docker with auto-restart policies and health checks for production-grade reliability and operational resilience. RELEVANT COURSEWORK AND KNOWLEDGE AREAS

Cloud Computing, Operating Systems (OS), Computer Networks (CN), Linux Administration, Shell Scripting, Virtualization and Containerization

ADDITIONAL INFORMATION

Languages: English (Fluent), Hindi (Native), Marathi (Native) Interests: DevOps Engineering, Cloud Native Architecture, AI-Driven Infrastructure Automation

Availability: Available for full-time DevOps Engineer and Cloud Infrastructure Engineer roles. Open to relocation and on-site work.