Principal Engineer, Enterprise Platform at lilasciences

Compensation

$204,000 – $310,000/yr

Setup: Remote
Location: San Francisco, California
Type: Full-time
Level: not_specified
Posted: Jun 23, 2026

Description

Lila Sciences is seeking a Principal Engineer, Enterprise Platform to develop foundational systems essential for deploying autonomous science—AI systems designed to conduct experiments, run them in physical labs, and manage results across various scientific fields. This role focuses on building robust, secure, and scalable platform infrastructure, driving core enterprise capabilities like multi-tenancy, identity and permission management, audit logging, and pushing the boundaries with agentic AI-powered systems.

Required Skills

Software Development
Enterprise SaaS Product Development
Authentication/Authorization
Multi-tenancy
RBAC
Billing/Metering
Configurations
SDK/API Design
Cloud-Native Architecture
Event-Driven Systems
Infrastructure-as-Code
Containerized Deployments
Cross-Functional Communication
Architectural Influence
Python Coding
Backend Frameworks

Additional Information

Required Previous Experiences: 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, familiarity with infrastructure-as-code and containerized deployments
Track record building enterprise platforms in high-growth environments where speed-to-value mattered as much as long-term architecture
Preferred Qualifications: practical experience with agentic systems and workflow automation where models take actions with real operational consequences in regulated environments.
worked on platforms serving scientific or laboratory data such as LIMS, ELN, bioinformatics, or related systems, and understand the provenance and traceability requirements associated with scientific workflows.
built self-service enterprise tooling for non-technical administrators and have thought carefully about the UX and API design required to make those systems usable.
experience with compliance frameworks: SOC 2, HIPAA, GxP, FedRAMP, or ALCOA+
operated multi-tenant SaaS systems at significant scale with strict isolation, reliability, and compliance requirements.