• Collaborate with stakeholders (DT domain leads, DT experts and Laboratory Leads) to ensure application design and implementation plans are properly built and delivered on time. • Translate technical plans, designs, and specifications into clear, impactful language for users and management to support strategic decisions. • Review and challenge vendor proposals, designs, and implementation approaches • Facilitate the GxP compliant deployment of the solution • Oversee incoming and outgoing project documentation from a functional/technical point of view. • Understand the system and the relationships between sub-projects. Ensure coherence between LIMS, laboratory instruments, SAP/MES, reporting, and infrastructure components • Participate in the definition and implementation of testing approaches

• Lead the design and implementation of complex technology projects and strategic initiatives • Develop, test, and deploy high-quality, production-ready code for large-scale software components • Set the standard for code quality by performing rigorous peer reviews and establishing best practices • Solve sophisticated software problems involving high risk or complexity • Drive significant improvements in software quality, system performance, and the end-customer experience • Lead initiatives to improve testability, internal documentation, and operational excellence metrics • Communicate effectively with senior stakeholders and cross-functional partners • Proactively manage technical debt and improve runbooks and internal tooling • Actively mentor engineers and interns, serving as a technical guide to elevate the team’s overall capability.

• Architect and break down ambiguous product problems into concrete, well-scoped tasks for agents to execute and ship full-stack features, owning work from design through production release. • Design and operate complex agent orchestration systems that ship real product features. • Design APIs and data models that are clean, consistent, and built to last, not just fast to write. • Contribute to our AI-first engineering culture, share patterns, document what works, and help the team level up on how we build with AI. • Use AI tools fluently - Claude Code, Augment, or equivalent- to compress implementation time, then critically review everything that comes out of them. • Collaborate closely with Product and Design to identify gaps in specs, surface edge cases early, and push back when something isn't ready to ship. • Set the quality bar: well-structured, maintainable code; conduct thorough code reviews; maintain adequate test coverage; and catch bugs introduced by AI before they reach production.

• Design, develop, and test software systems and applications incorporating AI capabilities • Architect cloud-native solutions using microservices and containerization • Build and maintain Kafka-based stream processing components • Implement and maintain cloud infrastructure using AWS services • Collaborate with TR Labs and research scientists to integrate new search capabilities