Staff Software Engineer at Lila Sciences - ScoutJobs - The AI-curated global job board
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Posted 5 hours ago

Staff Software Engineer

Lila SciencesStaff Software Engineer, Lab Software

Requirements

8+ years engineering experience, Strong backend expertise, Full stack development (React, Python, FastAPI), Experience with AI coding assistants, Degree in CS or related field

Skills

PythonReactAWSKubernetesTypeScriptFastAPI

About the role

Responsibilities

  • Design and build high-performance, secure, and well-documented UI and APIs
  • Develop database schemas and manage diverse data systems including SQL, NoSQL, and Vector DBs
  • Drive implementation of front-end and backend services with a focus on reliability
  • Diagnose and optimize system bottlenecks for high availability and low latency
  • Leverage AWS, Kubernetes, and modern DevOps practices for production-grade deployment
  • Collaborate with ML researchers and scientists to integrate data pipelines into scientific workflows

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • 8+ years of engineering experience building large-scale production systems
  • Strong backend expertise
  • Full stack development experience with React, TypeScript, Tailwind, FastAPI, SQL/NoSQL, Python, and Pydantic
  • Hands-on experience using AI coding assistants
  • Proven ability to work cross-functionally with scientists and data engineers

Preferred Qualifications

  • Exposure to laboratory software for life sciences or material sciences
  • Experience with laboratory devices, robotics, or hardware drivers
  • Experience with orchestration platforms like Airflow, Prefect, Temporal, or Dagster
  • Proficiency with AWS, Kubernetes, Terraform, CloudFormation, and GitHub Actions

About the Company

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.

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Staff Software Engineer

Lila Sciences · Cambridge

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