Headline

DevOps & Cloud Engineer | Automating Infrastructure on AWS & Azure with Terraform | SRE & DevSecOps Practices | Open to New Opportunities

About

DevOps & Site Reliability Engineer with experience in building scalable cloud infrastructure across AWS and Azure, with a growing focus on Agentic AI systems and AI-driven platforms. Hands-on in designing end-to-end CI/CD pipelines, Kubernetes (AKS/EKS), and Terraform-based infrastructure, while ensuring production reliability through real-time troubleshooting and system optimization. Experienced in deploying and supporting RAG-based AI systems, working with vector databases, LangChain, and orchestration workflows for intelligent applications. Strong focus on DevSecOps, integrating security practices across pipelines using tools like SonarQube, Trivy, OWASP ZAP, and secure secret management with Azure Key Vault to ensure production-ready and compliant systems. Interested in building autonomous, scalable AI systems (Agentic AI) with strong foundations in cloud, security, and reliability engineering.

Location

Bengaluru

AI stack

claude code

claude

github copilot

ChatGPT

Work experience

Associate Software Engineer(DevOps) at Proeffective IT Services - Cloud enablers - Elevate your excellence - Scale to the Sky, Feb 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, - Designed and implemented end-to-end CI/CD pipelines for microservices using Azure DevOps and Bitbucket, enabling automated and reliable deployments - Managed containerized workloads on Azure Kubernetes Service (AKS) and AWS (ECS), ensuring stable and scalable production systems - Automated infrastructure provisioning using Terraform, covering networking, compute, and multi-environment setups across AWS and Azure - Deployed and supported AI/GenAI workloads (RAG systems) using serverless architecture, vector databases, and LLM orchestration tools (LangChain, LangGraph) - Implemented DevSecOps practices by integrating security tools (SonarQube, Trivy, OWASP ZAP, Burp Suite) into CI/CD pipelines to detect vulnerabilities before production - Managed secure configuration and secrets using Azure Key Vault and AWS Systems Manager Parameter Store - Performed production troubleshooting and incident resolution (ingress errors, pod failures, rollout issues), improving system uptime and deployment reliability - Implemented monitoring and log analysis (Azure Monitor, KQL) to enable faster debugging and proactive issue detection - Optimized deployment strategies (blue-green/canary) ensuring zero-downtime releases and safe rollbacks - Monitored cloud resource usage and cost optimization, improving efficiency across environments

AWS DevOps Training at Naresh i Technologies, Jan 2023 - Jun 2023 · 6 mos, Hyderabad, Telangana, India, • Gained hands-on experience with Continuous Integration Tools such as Jenkins • Worked extensively on Linux and Ubuntu operating systems for development and deployment environments. • Developed scripts using Shell Scripting and Python to streamline DevOps processes. • Learned containerization and orchestration using Docker and Kubernetes for scalable application deployment. • Familiarized with Version Control Systems (Git) and project tracking tools like Jira. • Acquired expertise in AWS services, including EC2, VPC, EKS, ELB, ECR, IAM,

Education

Bachelor of Technology - BTech, Lakshmi Narain College of Technology, Kalchuri Nagar, Raisen Road, Post Klua, Bhopal-462021

Engineering Diploma, SHRI VAISHNAV POLYTECHNIC COLLEGE INDORE