Principal Data Platform Engineer — Equity

Lila Sciences; San Francisco, Cambridge (CA, MA); On-site; USD 204,000 - 348,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible time off

Paid parental leave

Educational assistance program

Commuter benefits

Job summary

Lila Sciences in San Francisco is looking for a Principal Software Engineer to shape the future of science. This role focuses on building cutting-edge tools for automated scientific analysis, collaborating closely with software engineers, lab scientists, and machine learning engineers.

You will design and build APIs, manage diverse data systems, and optimize performance across large-scale workloads. With 8-15 years of engineering experience, you're equipped to handle significant challenges in scalable backend design.

Join us for competitive compensation, bonus potential, and a comprehensive benefits package.

Qualifications

• 8-15 years of engineering experience building and deploying large-scale systems.
• Experience developing web apps across the full stack (React, TypeScript, etc.).
• Familiarity with data science and ML libraries (pandas, numpy, etc.).
• Strong understanding of scalable backend solutions.

Responsibilities

• Design and build high-performance, secure APIs.
• Develop schemas and manage diverse data systems for optimal performance.
• Optimize system bottlenecks ensuring high availability.

Skills

Backend system design

Cross-functional collaboration

Communication skills

Problem solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

AWS

Kubernetes

Python

FastAPI

Job description

Lila Sciences in San Francisco is looking for a Principal Software Engineer to shape the future of science. This role focuses on building cutting-edge tools for automated scientific analysis, collaborating closely with software engineers, lab scientists, and machine learning engineers.

You will design and build APIs, manage diverse data systems, and optimize performance across large-scale workloads. With 8-15 years of engineering experience, you're equipped to handle significant challenges in scalable backend design.

Join us for competitive compensation, bonus potential, and a comprehensive benefits package.