• Join a backend engineering team delivering digital solutions in health and operational support domain • Design, develop and maintain backend services using Python • Build scalable, secure and reliable APIs and application components • Collaborate with engineers from both client and delivery teams in an agile environment • Participate in solution design, technical discussions and architecture decisions • Improve application performance, stability and code quality • Support testing, troubleshooting and production issue resolution • Contribute to continuous improvement of development practices and delivery processes

• Design, build, and optimize the media pipeline and services around LiveKit's real-time core • Build distributed systems that ingest media from heterogeneous sources into the LiveKit ecosystem, and export LiveKit sessions to wherever they need to go • Shape LiveKit's strategy on media features, formats, and codecs • Choose the algorithms and implementation approaches that strike the right tradeoffs between performance, reliability, and quality • Support and advise other teams building on top of media services, and raise the quality bar for the systems they depend on • Help maintain operational excellence

• Receive tasks from the Project Lead or Team Lead (TL), prepare functional and design specifications, and align them with all stakeholders. • Ensure assigned areas are delivered on time and meet quality expectations. • Provide effort estimations, agree on timelines with the manager, and contribute to project planning. • Evaluate existing data systems and identify improvement opportunities. • Develop best practices for data coding to ensure system-wide consistency. • Update and optimize local and metadata models. • Assess implemented data systems for discrepancies, variances, and performance efficiency. • Troubleshoot and optimize data infrastructure and pipelines. • Understand business drivers and analytical use cases, translating them into reliable data products. • Design, implement, and maintain cloud-based pipelines that deliver business-critical data efficiently. • Identify area-level risks and implement mitigation plans. • Report readiness/quality status and escalate critical issues appropriately. • Take responsibility for resolving crisis situations within the assigned area of responsibility (AOR). • Initiate and conduct code reviews, and help establish coding standards, conventions, and guidelines. • Propose technical and functional improvements to enhance the product. • Continuously upgrade professional knowledge and skills. • Collaborate closely with cross-functional teams.

• Design and develop scalable backend services and RESTFul and/or GraphQL APIs using Node.js and TypeScript • Build and maintain microservices-based architectures for high-traffic applications • Ensure performance, reliability, and availability of backend systems • Collaborate with cross-functional teams for end-to-end feature delivery • Implement data processing, integrations, and business logic layers • Optimize systems using caching, async processing, and performance tuning • Contribute to code reviews, design discussions, and engineering standards • Support CI/CD, testing, and production troubleshooting