Lila Sciences
SeniorSoftwareEngineer,Data
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, Data at Lila Sciences. Skills: Data Platform, Backend Engineering, Full Stack Development. Build cutting-edge tools. Design infrastructure-as-code”
What You'll Achieve.
go from raw measurements to discoveries; science moves faster; each experiment makes the next one smarter
Industry & Context.
Problem Solving; deliver backend solutions; balancing trade-offs
What They're Looking For.
Must Have
backend experience, git, development workflows, user-centered design, Kubernetes, containerization, infrastructure-as-code, CI/CD pipelines, ORMs, web services for CRUD services, orchestration tools, Full Stack Development, web apps across the full stack, AI coding assistants
Nice to Have
Python for Science, data science and ML libraries, laboratory software or analytics, life sciences, material sciences, laboratory devices, robotics, hardware
What You'll Do.
Build cutting-edge tools
Design infrastructure-as-code
Drive productivity with AI assistants
How You'll Work.
Team & Collaboration
Collaborate with software engineers; Collaborate with lab scientists; Collaborate with machine learning engineers; Explain complex ideas to diverse audiences
Communication Scope
Communication; explain complex ideas
Full Job Description
Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), 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 Data Platform Team (Data) builds and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter. What You'll Be Building Design strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions). Experience with ORMs: Experience with and web services for CRUD services (SQL Alchemy, SQLModel, FastAPI, Django). Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic) Hands on experience using AI coding assistants to drive productivity is required. Communication able to explain complex ideas to diverse audiences. Problem Solving: Proven ability to deliver backend solutions, balancing trade-offs between scalability, performance, and maintainability. Bonus Points For Familiarity with
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