• Develop and maintain backend services and RESTful APIs in Python for the cOS virtual CMTS (vCMTS) platform

• Work with CI/CD pipelines using Jenkins and internal tools to automate testing and deployment of microservices

• Manage and orchestrate containerized infrastructure with Docker and Kubernetes, including cluster operations, Calico CNI networking, etcd tuning, and CPU/memory resource optimization for high availability (HA) and scalability

• Use DRBD and Pacemaker to replicate and manage HA storage across physical test environments

• Configure and maintain lab infrastructure to mirror real-world production environments, including physical network switch maintenance, storage tuning, and compute allocation

• Perform manual QA testing, log analysis, and defect resolution to ensure reliable software release

• Partner with QA/Platform/SRE across time zones; drive root-cause analyses and ship fixes for high-impact incidents

• Active member of AI leadership team, evaluating emerging AI tools for R&D using statistical methods, MCPs, RAG databases, and custom tool integrations

• Developed an AI-powered housing solution for students using Python and Docker, enhancing the user experience and streamlining the housing search process

• Developed automation test suite for the service using Selenium, Python, and Jenkins

• E2E JavaScript feature implementation

• Automated 150+ REST API regression tests (Python + Selenium/Playwright + Postman) for Genesys Workforce Engagement Management. Improved test coverage by 30%

• Added CI jobs in Jenkins to gate builds on API/contract tests

• Developed Python-based test scripts for validating core Web Services functionality and ensuring compliance with business requirements

• Participated in QA validation efforts across both frontend and backend microservices in a distributed cloud environment