Somil Jain

Experience

• 

  Infosys Ltd

  Jul 2018 - Jul 2021

  Senior System Engineer

  • Orchestrated end-to-end CI/CD pipeline in Jenkins which checked out code from Bitbucket, pushed artifacts to artifactory, & deployed across environments for 25,000 components across Finance & HR domain, reducing lead time for deployment by 75%• Containerized application that is used by nearly 10000 employees and deployed it on Kubernetes using Helm template charts • Boosted productivity by converting SQL queries to PL/SQL procedures, thereby reducing execution time from 40 to 16 minutes• Automated deployment process through Linux shell scripts, saving 75+ man-hours per month• Integrated Prometheus for telemetry data monitoring - application and system level metrics of containerized Kubernetes workloads and used Grafana for visualization• Set up alerting on metrics thresholds in Prometheus to guarantee system stability by autoscaling• Developed single-stop application using Spring Boot for HR and Payroll departments saving $40K per year on licensing costs• Used gRPC and Kafka to communicate between services Show less

• 

  UFG Insurance

  Jun 2022 - Dec 2022

  • Migrated 7 workflows from old Continuous Integration (CI) tool, Octopus to new CI tool, Harness• Transitioned a traditional deployment approach of legacy code to the adoption of Infrastructure as Code methodologies • Used Ansible and Ansible Tower for configuration management, automating repetitive tasks, and proactively managing changes Created React.js portal for running jobs in lower environments used by developers, reducing workload by 2 hours/day• Implemented shell scripts to automate deployment workflow thereby saving 20 hours per month

  • Software Engineer Intern

    Aug 2022 - Dec 2022

  • Software Engineer Intern

    Jun 2022 - Aug 2022
• 

  Sikka.ai

  Jul 2023 - now

  DevOps Engineer

  • Designing an ETL pipeline in GoLang to get data from different sources and aggregating them to AWS S3 and MariaDB• Implemented visualization using Grafana dashboards and Prometheus as a data source • Built Continuous Deployment GitHub Actions workflow to build and push Docker images of Data Science services on AWS ECR• Deployed these Data Science services on AWS EKS Kubernetes cluster by creating pods and Nginx ingress controller• Implemented AWS Lambda VPC endpoint in Go for pushing ETL error logs to AWS SQS and displaying them on Elastic Logstash• Created a user-centric dashboard using ReactJS enabling users to select builds for deployment and rollback, enhancing deployment efficiency Show less