• Delivering complex solutions as a technical individual under the guidance of senior team members and engage in and improve the whole lifecycle of services - from inception and design, through deployment, operation, and refinement.

• Using Infrastructure as Code (IaC) to design and simplify large-scale management of the hybrid infrastructure including, cloud (AWS, GCP) and Data Center, for orchestration and configuration management purposes.

• Developed scripts to perform live migrations of DBs and applications without impacting customer experience and usage.

• Building and enhancing the in-house monitoring systems for measuring and monitoring availability, latency, and overall health.

• Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks, etc.

AI for course CSCI-B 649 Applied Distributed Systems

Course Details-https://courses.airavata.org/

• Mentor and guide 20 teams in building web applications based on microservice-based architecture.

• Guide students in applying concrete distributed systems concepts, best software management & agile practices.

• Hold office hours and project meetings, grade assignments, quizzes, and weekly deliverables.

• Contributed to the design, development, and set up of GCP, automation of cloud infrastructure using Deployment Manager.

• Enhanced cluster management and deployments, by integrating Argo CD and Kustomize with Kubernetes, following the GitOps approach.

• Migrated CI-CD pipeline from Bamboo to Jenkins, creating a single job to build any microservice free of repository and branch.

• Used Google Data Studio and Big Query for creating Dashboards for analyzing different Customer Run as well as Application.

• Enhanced system management, by choosing Datadog and Opsgenie for log monitoring of the services and for setting alerts.

• Enhanced the productivity of the team by Developing a python script for updating the Jira tickets on a successful code built.

• Worked on automation, migration, deployments, job monitoring, and upgrading the staging and production environments.

• Automated reprocessing of the trades, reducing dependency, plus time and effort of 4-man days a month.

• Configured alerts in Geneos to monitor network bandwidth, memory usage, application performance, web page status, etc.

• Developed various python and shell scripts, for application deployments, to monitor applications on distributed servers, furthermore, prevent application failures.