Headline

DevOps Engineer | Designing Scalable, Secure, and Automated Cloud Solutions | AWS | Azure | Kubernetes

About

DevOps Engineer with 3 years of experience designing scalable architectures, automating deployments, and optimizing cloud infrastructure for high availability and performance. Over the years, I’ve worked across AWS, Azure, and Linode to build resilient systems, streamline CI/CD pipelines, and deliver applications faster and more reliably. I enjoy bridging the gap between development and operations, whether it’s designing Kubernetes clusters, implementing disaster recovery strategies, or optimizing costs without compromising reliability. My approach is driven by automation, security best practices, and continuous improvement. Always open to connecting with like-minded professionals, sharing knowledge, and exploring opportunities where I can contribute to building efficient, scalable, and secure systems.

Location

Bengaluru

AI stack

cursor

github copilot

ollama

openai

Work experience

DevOps Engineer at Zeero, Oct 2025 - Present · 10 mos, Bengaluru, Karnataka, India

DevOps Engineer at Webknot Technologies, Nov 2022 - Feb 2025 · 2 yrs 4 mos, Bengaluru, Karnataka, India, I have been responsible for designing, automating, and maintaining scalable DevOps solutions across AWS, Azure, and Linode. My work focuses on CI/CD, cloud infrastructure, containerization, and monitoring to ensure high availability, security, and cost efficiency. Key Contributions: Built and managed end-to-end CI/CD pipelines with Jenkins and GitHub Actions, cutting deployment time and improving release reliability. Designed and implemented secure, scalable, and cost-optimized cloud infrastructure across AWS, Azure, and Linode. Deployed MERN, Python, and Java applications using Docker & Kubernetes with advanced deployment strategies (blue-green, rolling updates). Automated infrastructure provisioning using Terraform and Ansible, reducing environment setup time by 60%. Managed AWS services like EC2, S3, RDS, IAM, VPC, CodeDeploy, ELB, and Auto Scaling Groups for highly available architectures. Established centralized monitoring & alerting with CloudWatch, Prometheus, and Grafana to detect and resolve issues proactively. Configured and optimized Jenkins master-slave setups for multi-pipeline integrations. Developed backup & disaster recovery strategies to ensure business continuity. Partnered with developers to integrate DevSecOps practices, troubleshoot issues, and strengthen release pipelines. Optimized cloud spend by right-sizing resources and monitoring usage patterns.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, Jain (Deemed-to-be University)

Science, Gurukul