Lila Sciences
Senior Software Engineer, Data
$144K–$270K
Cambridge, MA USA +3 · Senior · Full-time · Posted May 26, 2026
- Location
- Cambridge, MA USA
San Francisco, CA USA
One Charles Park, Cambridge, MA
San Francisco, CA - Experience
- 5-8+ years of engineering experience.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
About the job
Build and scale backend data-platform systems, APIs, and infrastructure that support automated scientific analysis and scientific workflows.
What you'll do
- Design and build secure, high-performance APIs and scalable database systems.
- Optimize reliability and performance, and deploy production systems using cloud and DevOps practices.
- Collaborate with scientists, ML researchers, and engineers to integrate data pipelines and infrastructure into scientific workflows.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5-8+ years of experience building and deploying large-scale backend systems in production.
- Hands-on AWS experience and strong knowledge of Kubernetes, containerization, infrastructure-as-code, and CI/CD pipelines.
- Experience with ORMs and CRUD web services; hands-on use of AI coding assistants is required.
Nice to have
- Familiarity with Python data science and ML libraries such as pandas, numpy, scipy, jax, or pytorch.
- Exposure to laboratory software, life sciences or materials science analytics, laboratory devices, robotics, or hardware.
Pay
$144,000 — $270,000 USD (base salary)
Tools
AWS, Kubernetes, Terraform, CloudFormation, GitHub Actions, SQL Alchemy, SQLModel, FastAPI
AI focus
Use AI coding assistants to drive productivity; build APIs that integrate with AI-driven applications supporting automated scientific analysis.
Model-written summary · the original posting is authoritative