Senior Software Engineer, Scientific System of Record
Lila Sciences3 months ago
Cambridge, MA, USA or San Francisco, CA, USAMid Level / Senior
H1B Sponsor
Base Salary
$144k - $240k/yr
Responsibilities
- Build systems for scientific intent, experiment planning, protocol execution, sample and asset state, operational events, and results capture.
- Design and implement secure, high-quality, well-documented user interfaces and APIs for scientists, automation systems, ML workflows, and AI-driven applications.
- Develop front-end and backend services focused on performance, maintainability, and reliability.
- Create domain models, schemas, indexes, and data contracts across SQL, NoSQL, vector databases, data lakehouses, and other scientific data systems.
- Diagnose bottlenecks and improve performance, observability, reliability, and operational excellence for production systems.
- Use AWS services, Kubernetes, and DevOps practices to build and deploy production-grade systems.
- Collaborate with scientists, ML researchers, platform engineers, data engineers, automation teams, and product managers.
- Contribute to architecture discussions, code reviews, testing practices, documentation, and shared engineering standards.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 4–6+ years of engineering experience building and deploying large-scale production systems.
- Strong expertise in front-end engineering, backend engineering, or data modeling and system design, with the ability to work across the stack.
- Strong experience with TypeScript and React; Python experience is strongly preferred.
- Experience designing, building, and maintaining reliable, performant, and maintainable APIs, services, and application components.
- Experience with SQL and at least one of NoSQL databases, vector databases, search systems, or data lakehouse architectures, including schema design, indexing, and query optimization.
- Experience operating production software through debugging, monitoring, performance tuning, and reliability improvements.
- Strong communication and cross-functional collaboration skills with engineers, product teams, scientists, or other domain experts.
- Ability to own ambiguous technical problems, make practical trade-offs, and deliver maintainable solutions.
- Hands-on experience using AI coding assistants or AI-augmented engineering workflows.
- Bonus experience with AWS, GCP, Azure, Kubernetes, containerization, Terraform, CloudFormation, GitHub Actions, Flyte, Temporal, Airflow, or Prefect.
- Experience with laboratory, scientific workflow, LIMS, ELN, data platform, or ML platform products is a bonus.
- Experience designing systems supporting auditability, traceability, reproducibility, data provenance, or regulated workflows is a bonus.
Benefits
- Medical, dental, and vision coverage for full-time U.S. employees.
- Employer-paid life and disability insurance.
- Flexible time off, generous company-wide holidays, and paid parental leave.
- Educational assistance program and commuter benefits, including bike share memberships for office-based employees.
- Company-subsidized lunch program for U.S. employees.
- Regionally tailored benefits for international employees.
Tech Stack
Apache AirflowAWSAzureGitGitHub ActionsGoogle Cloud PlatformKubernetesPythonReactSQLTerraformTypeScript
Categories
About Lila Sciences
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are building the foundation to apply AI to every aspect of the scientific method, enabling scientists to bring forth solutions in human health and sustainability at a pace and scale never experienced before.