Principal Engineer, Software (Enterprise Platform)
Lila Sciences · San Francisco, CA USA · San Francisco, CA
CHECKED 14H AGO
Bio & Science AIonsiteprincipal$204k–$310k
At a glance
Highlights
- Build enterprise platform enabling autonomous science for large pharma customers.
- Own multi-tenancy, audit and billing systems from design to production scale.
- Create AI-native APIs and agentic workflows for self-service tenant management.
What they offer
- Competitive base compensation with bonus potential
- Generous early-stage equity
- Medical, dental and vision coverage
- Flexible time off with company-wide holidays
- Paid parental leave and educational assistance
- Commuter benefits and subsidized lunch program
Ideal candidate
A high-autonomy principal builder who thrives in ambiguity and owns secure, scalable platform outcomes. You care about making autonomous science deployable in regulated enterprises.
Requirements
- 12+ years of software development experience, with a focus on Enterprise SaaS product development
- Deep expertise in enterprise SaaS platform systems: authentication/authorization (OAuth 2.0, OIDC, SAML), multi-tenancy, RBAC, billing/metering, configurations, SDK and APIs
- Experience with modern cloud-native architectures (Kubernetes, Terraform, AWS/GCP) and event-driven systems
- Track record building enterprise platforms in high-growth environments
- Strong cross-functional communication skills and ability to influence architecture across teams
- Hands-on coding in Python and modern backend frameworks (FastAPI, async Python)
- BS, MS, or Ph.D. in Computer Science or a related field
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation