Tata Group

• Lead, coach, and develop a team of 7 engineers • Own sprint health and delivery consistency • Establish and maintain engineering performance standards • Lead the engineering team's transition to AI-first development • Serve as a key stakeholder in shaping company-wide AI policies • Guide technical discussions and ensure architectural decisions • Collaborate cross-functionally with Product, CX, Sales, Marketing, and Music Affairs

• Review manual test cases for Salesforce customizations (including Lightning Web Components, Apex triggers, Flows, and declarative changes) and provide feedback on suitability for automation to the project team. • Support, maintain, and enhance all test case automation-related activities during iterative development, system testing, and regression testing across multiple Salesforce releases. • Review user stories and functional requirements to ensure thorough test coverage across standard and custom Salesforce objects. • Assist with manual testing; execute manual test cases and scripts for features under development using test management/tracking tools. • Create and maintain test plans, cases, and scenarios/scripts in compliance with defined QA standards and methodologies, including robust test data management strategies. • Establish, configure, and maintain Salesforce testing environments (Sandboxes and Scratch Orgs) for executing test cases and scenarios. • Participate in the development, deployment, and administration of QA processes, tools, and supporting CI/CD technologies within the Salesforce ecosystem. • Design, create, and execute automation scripts using Playwright or other tools, specifically tailored to navigate Salesforce Lightning interfaces, dynamic IDs, and Shadow DOM components.

• Build and maintain robust data infrastructure for ingesting, transforming, and modeling music content, metadata, and rights data. • Design, build, and support data products and internal tools that serve analytics, operations, and self-service reporting use cases: e.g. data observability dashboards, ingestion monitors, rights reporting and audit trails, content QA interfaces. • Design and optimize cloud-based architectures using AWS services, including DynamoDB, MySQL, Redshift, S3, Lambdas, and CloudWatch, to ensure high availability and performance. • Contribute to DevOps efforts, including monitoring, logging, and alerting, to ensure the reliability and resilience of our services. • Support rights compliance workflows through reproducible, transparent data practices. • Drive performance, cost efficiency, and observability across the entire stack. • Own work end-to-end, from ideation to production, in a small, highly collaborative team environment.