Software Engineer II, Lab Software
Listed on 2026-06-02
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Software Development
Cloud Engineer - Software, Software Engineer
Your Impact at LILA Join us in shaping the future of science! We are seeking a Software Engineer II with backend experience to join our Lab Software Team (LaS), where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting‑edge tools for automated scientific analysis and more.
What You’ll Be Building- Design & Build UI and APIs:
Design and build high‑performance, secure, and well‑documented UI and APIs that integrate with AI‑driven applications. - Database Architecture & Scaling:
Develop schemas and manage diverse data systems (SQL, No
SQL, Vector DBs, and others) for optimal performance and scalability. - Application Development:
Drive the implementation of front‑end and backend services, focusing on performance, maintainability, and reliability. - Performance & Reliability:
Diagnose and optimize system bottlenecks, ensuring high availability and low‑latency performance across large‑scale workloads. - Cloud & Infrastructure:
Leverage AWS services, Kubernetes and modern Dev Ops practices to build and deploy production‑grade systems at scale. - Cross‑Functional
Collaboration:
Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 2‑5 years of engineering experience building and deploying large‑scale systems in production. You must be strong in backend.
- Full Stack Development:
Experience developing web apps across the full stack (React, Type Script, Tail Wind, FastAPI, SQL/No
SQL, Python, Pydantic). - Hands‑on experience using AI coding assistants to drive productivity is required.
- Communication &
Collaboration:
Acute listening skills, and a proven track record of working cross‑functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences. - Problem Solving:
Proven ability to take ownership of complex backend challenges, balancing trade‑offs between scalability, performance, and maintainability.
- Domain Background:
Exposure to laboratory software for life sciences, material sciences, or related fields. - Lab Automation
Experience:
Experience with laboratory devices, robotics, or hardware drivers. - Orchestration Systems:
Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns. - Cloud & Dev Ops Knowledge:
Hands‑on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure‑as‑code (Terraform, Cloud Formation), and CI/CD pipelines (Git Hub Actions).
We offer competitive base compensation with bonus potential and generous early‑stage equity. Your final offer will reflect your background, expertise, and expected impact. USD salary ranges apply only to U.S.
-based positions; international salaries are set to local market. Expected Base Salary Range $120,000 — $180,000 USD.
- Full‑time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer‑paid life and disability insurance; flexible time off with generous company‑wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office‑based employees; and a company subsidized lunch program.
- Full‑time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
LILAASciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
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