Senior Software Engineer, Scientific System of Record
AI summary of the role
Senior Software Engineer on the Scientific System of Record team, building the memory layer that connects scientific intent to physical reality across automated lab workflows.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, and results capture across complex lab workflows.
- Design and implement high-quality, secure, and well-documented UIs and APIs supporting scientists, automation systems, ML workflows, and AI-driven applications.
- Develop domain models, schemas, indexes, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems.
- Use AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems.
What you’ll bring
- 4-6+ years of engineering experience building and deploying large-scale systems in production.
- Strong expertise in TypeScript, React, and Python.
- Experience with SQL and at least one of NoSQL, vector databases, search systems, or data lakehouse architectures.
- Experience operating production software, including debugging, monitoring, performance tuning, and improving reliability.
Technologies
TypeScript · React · Python · AWS · Kubernetes · SQL · NoSQL · vector databases · data lakehouse · GitHub Actions · Terraform · CloudFormation
About Lila Sciences
Autonomous AI platform that executes the scientific method end-to-end—from hypothesis generation to experimental execution—for biotech, materials, and chemical R&D.
Series A
Source and classification
Internal deployment & tooling · Evidence for this classification:
Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with full stack experience to join our Scientific System of Record Team (SSR), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want 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.
More from the job description
Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with full stack experience to join our Scientific System of Record Team (SSR), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want 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 Lab Execution and Scientific Workflows: Build systems that model scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture across complex lab workflows. User Interfaces and APIs: Design and implement high-quality, secure, and well-documented UIs and APIs that support scientists, automation systems, ML workflows, and AI-driven applications. Application Development: Build front-end and backend services with [... source excerpt omitted ...] data systems. Reliability, Performance, and Scale: Diagnose bottlenecks, improve system performance, and contribute to observability, reliability, and operational excellence for production systems. Cloud and Infrastructure: Use AWS services, Kubernetes, and modern DevOps practices to build and deploy production-grade systems. Cross-Functional Collaboration: Partner with scientists, ML researchers, platform engineers, data engineers, automation teams, and product managers to translate scientific and operational needs into software. Engineering Quality: Contribute to architecture discussions, code reviews, testing practices, documentation, and shared engineering standards. What [... source excerpt omitted ...] d To Succeed Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 4-6+ years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend. Strong expertise in at least one of the following areas, with the ability to work across the stack: front-end engineering, backend engineering, or data modeling and system design. TypeScript, React, and Python: Strong experience building modern applications with React and TypeScript; Python experience is strongly preferred. Application and API Development: Experience designing, building, and maintaining APIs, services, and application compo
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