Principal Software Engineer, Data
Lila Sciences5 months ago
Base Salary
$204k - $348k/yr
Responsibilities
- Design and build secure, well-documented, high-performance APIs for AI-driven applications.
- Develop schemas and manage SQL, NoSQL, vector, and other data systems for performance and scalability.
- Diagnose and optimize bottlenecks while maintaining high availability and low latency for large-scale workloads.
- Use AWS, Kubernetes, and modern infrastructure practices to build and deploy production systems.
- Integrate data pipelines, APIs, and cloud infrastructure into scientific workflows with ML researchers, engineers, and scientists.
- Contribute software-engineering best practices for Git, development workflows, and user-centered design.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 8–15 years of engineering experience building and deploying large-scale production systems.
- Strong experience with scalable backend system design and complex trade-offs involving performance, scalability, and maintainability.
- Full-stack development experience with React, TypeScript, Nx, Tailwind, FastAPI, SQL or NoSQL systems, Python, and Pydantic.
- Experience with ORMs and CRUD web services, including SQLAlchemy, SQLModel, FastAPI, or Django.
- Experience with orchestration tools such as Airflow, Prefect, Temporal, or Dagster.
- Familiarity with scientific Python and machine-learning libraries including pandas, NumPy, SciPy, JAX, and PyTorch.
- Hands-on experience using AI coding assistants is required.
- Strong communication, listening, writing, and cross-functional collaboration skills.
- Preferred experience includes AWS, Kubernetes, containerization, Terraform, CloudFormation, and GitHub Actions.
- Laboratory software, life sciences, materials sciences, laboratory devices, robotics, or hardware experience is a bonus.
Benefits
- Full-time U.S. employees receive medical, dental, and vision coverage.
- Benefits include employer-paid life and disability insurance, flexible time off, company-wide holidays, paid parental leave, educational assistance, commuter benefits including bike-share memberships for office-based employees, and a subsidized lunch program.
- International full-time employees receive benefits tailored to their region.
- The role is a full-time position; work arrangement is not otherwise specified.
Tech Stack
Apache AirflowAWSDjangoFastAPIGitGitHub ActionsKubernetesNumPyPandasPythonPyTorchReactSciPySQLTailwind CSSTerraformTypeScript
Categories
About Lila Sciences
Lila Sciences builds an AI-driven research platform and autonomous lab systems for life science, chemistry, and materials R&D teams. Its products combine large AI models with robotic instruments to plan, run, and analyze experiments, integrating into customer-specific scientific workflows. The privately held company serves pharma, materials, and energy organizations and is venture-backed, including a Series A financing in 2025.