Staff Software Engineer, Scientific System of Record

About this role

Your Impact at LILA
We are seeking a
Staff Software Engineer
to join our
Scientific System of Record
Team
and help build the next-generation AI-driven scientific platform.


You will focus on developing user interfaces, services, high-performance APIs, databases, and reliable systems that integrate advanced AI frameworks with complex scientific analytics and laboratory workflows. You’ll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL databases, data lakehouses, workflow engines, and lab execution environments.


This is an opportunity to apply your deep front-end and backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about building performant, elegant systems, we would love to hear from you.


About The Team
The Scientific System of Record Team (SSR) builds the memory layer for Lila's operations. It answers two questions:
*what did we plan to build?*
and
*what actually happened?*
These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.


What You'll Be Building

• User Interfaces and APIs: Design and build high-performance, secure, and well-documented UIs and APIs that integrate with AI-driven applications.
• Database Architecture and Scaling: Develop schemas and manage diverse data systems, including SQL, NoSQL, vector databases, and other emerging technologies, for performance and scalability.
• Application Development: Drive implementation of front-end and backend services with a focus on performance, maintainability, and reliability.
• Performance and Reliability: Diagnose and resolve system bottlenecks while ensuring high availability and low-latency performance across large-scale workloads.
• Cloud and Infrastructure: Le...