• Leading multi-functional initiatives to define safety architecture and requirements for autonomous vehicles. • Delivering safety concepts and analysis to enable continuous and safe software deliveries. • Defining and improving safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture. • Improving processes and tools for safety analysis and data-driven evaluation. • Sharing safety analysis and readiness results with colleagues and management.

• Design scalable, fault tolerant, and high availability backend systems using Node.js • Define microservices, event driven, and API first architectures • Create low level and high level design documents (LLD/HLD) • Establish coding standards, best practices, and architectural guidelines • Evaluate and recommend frameworks, libraries, and tools • Lead complex backend development initiatives using Node.js (Express/NestJS/Fastify) • Review code for performance, security, maintainability, and scalability • Mentor senior and junior developers; conduct design and code reviews • Collaborate with frontend, DevOps, QA, and product teams • Optimize application performance, memory usage, and async workflows • Implement authentication, authorization, and data security best practices • Design logging, monitoring, alerting, and observability solutions • Ensure compliance with security standards and data protection policies • Design cloud native solutions on AWS / Azure / GCP • Work closely with DevOps on CI/CD pipelines, containerization, and deployments • Guide infrastructure design using Docker, Kubernetes, and IaC • Ensure system resilience and disaster recovery strategies

• Design end-to-end solution architecture for enterprise-grade applications • Lead system design discussions and architecture reviews • Develop and manage distributed systems handling high throughput • Enforce API & integration standards • Collaborate across teams to ensure high availability and performance optimization • Mentor development teams

• Design, lead, and implement an enterprise-wide Master Data Management (MDM) platform • Combine thought leadership with hands-on technical execution • Support the design, build, and operationalization of trusted master data across multiple domains • Report to the MDM Product Owner • Collaborate closely with MDM Administrators, technical data stewards, integration developers, and downstream platform teams • Ensure master data is accurate, governed, scalable, and consumable across the enterprise • Define and own the MDM data architecture across multiple master data domains • Design and document MDM data flows, integration patterns, and dependencies • Establish best practices for data modeling, domain design, and extensibility • Develop and maintain data syndication and data services in Profisee, SQL, Python, and .Net technologies • Design and build integration patterns to ingest and syndicate trusted master data between the MDM platform and enterprise systems • Define and implement data quality rules, stewardship workflows, and matching and survivorship logic • Develop stewardship user interfaces to support data governance and operational workflows • Manage the technical administration of the MDM platform