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strategy </li> <br/> <li>  Ensure teams follow engineering best practices including automated testing, CI/CD, observability, and secure coding </li> <br/> <li>  Guide teams in building scalable services using Node.js, TypeScript, Java/Spring Boot, and modern full-stack frameworks </li> <br/> <li>  Promote the adoption of AI-assisted development tools and modern developer productivity practices </li> <br/></ul><br/><br/><h4> Delivery &amp; Execution</h4><br/><ul> <br/> <li>  Collaborate with Product Management and stakeholders to translate business requirements into engineering roadmaps and execution plans </li> <br/> <li>  Drive delivery of high-quality software through agile development practices </li> <br/> <li>  Ensure reliable production systems by driving operational excellence, monitoring, and incident management </li> <br/> <li>  Remove technical and organizational blockers to help teams deliver effectively </li> <br/></ul><br/><br/><h4> Platform, Data &amp; AI 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Java-based enterprise technologies such as Spring Boot and Gradle </li> <br/> <li>  Experience building full-stack applications using modern JavaScript frameworks (e.g., React) </li> <br/> <li>  Experience working with cloud platforms such as AWS </li> <br/> <li>  Strong understanding of microservices architecture and API-driven systems (REST / gRPC) </li> <br/> <li>  Experience implementing automated testing strategies including unit, integration, and end-to-end testing frameworks such as Playwright, Cypress, or Jest </li> <br/> <li>  Familiarity with containerization and CI/CD pipelines using tools like Docker, Kubernetes, Jenkins, or Spinnaker </li> <br/></ul><br/><br/><h3> Preferred Skills</h3><br/><ul> <br/> <li>  Passionate about building and scaling high-performing engineering teams </li> <br/> <li>  Comfortable balancing technical leadership with people management </li> <br/> <li>  Experienced in delivering large-scale distributed systems and full-stack applications </li> <br/> <li>  Strong advocate for engineering excellence, automated testing, and developer productivity </li> <br/> <li>  Experience working with data platforms, analytics pipelines, or AI-enabled applications </li> <br/> <li>  Familiar with AI-assisted development tools (e.g., GitHub Copilot, Cursor, LLM-based workflows) </li> <br/> <li>  Experienced with observability platforms such as Splunk, Dynatrace, or similar monitoring ecosystems </li> <br/> <li>  Excellent communicator who can bridge technical and business perspectives </li> 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