Professional Summary
DevOps Engineer with 4 years of experience in automating CI/CD pipelines, managing cloud infrastructure and deploying scalable microservices on AWS. Proficient in tools like Jenkins, Docker, Kubernetes, Terraform, Ansible, and monitoring tools including Datadog, CloudWatch and Splunk. Strong scripting in Python and Shell. Certified by AWS and Google, with hands-on experience building production-ready systems.
Skills
Jira Confluence Python Shell Scripting
GitHub Actions GitLab CI/CD Jenkins Terraform
Ansible AWS (EC2, EKS, Lambda, S3, ECR, VPC, RDS)
Docker Kubernetes Helm CloudWatch
Datadog Splunk Postman JMeter
Work Experience
Senior Systems Engineer, Infosys (Jan 2023 - Present)
- Built CI/CD pipelines with GitLab CI and Canary deployments, boosting release reliability by 30%.
- Managed Kubernetes-based microservices, reducing provisioning time by 40%.
- Automated infrastructure with Ansible, Terraform, and Python, reducing manual work.
- Integrated monitoring via Datadog and CloudWatch, reducing MTTR by 35%.
- Handled production issues using PagerDuty and performed RCA.
Systems Engineer, Infosys (June 2021 - Jan 2023)
- Automated Finacle banking EOD/EOM/EOY processes with Shell scripts, reducing effort by 60%.
- Used JMeter to identify bottlenecks and improve performance by 25%.
- Integrated APIs into CI workflows and optimized batch jobs for reliability.
- Monitored jobs and APIs using Splunk, Datadog, and CloudWatch.
Education
B.Tech in Electronics & Communication — Bhagwan Parshuram Institute of Technology (2016–2020), New Delhi
Certifications
- AWS Certified Solutions Architect – Associate.
- AWS Certified Cloud Practitioner.
- Google Cloud Digital Leader.
Personal Project: CI/CD Pipeline for Django Blog App
- Developed Django blog app, containerized with Docker and deployed on AWS EC2
- Implemented CI/CD using Jenkins to automate build/test/deploy pipeline
- Built & pushed Docker images to ECR, deployed using SSH and Docker Compose
- Provisioned EC2 & security groups using Terraform
- Managed secrets with GitHub Secrets and AWS IAM
- Monitored uptime using CloudWatch and enabled rollbacks using Docker tags