Lila Sciences
Principal Engineer, Software (Enterprise Platform)
$204K–$310K
San Francisco, CA USA +1 · Principal · Full-time · Posted Jun 23, 2026
- Location
- San Francisco, CA USA
San Francisco, CA - Experience
- 12+ years of software development experience, focused on Enterprise SaaS product development.
- Education
- BS, MS, or Ph.D. in Computer Science or a related field of study.
About the job
Build and lead the foundational enterprise platform systems that let large organizations securely adopt and operate Lila’s AI-driven scientific workflows.
What you'll do
- Design core identity, authorization, tenant isolation, and tenant-aware data systems.
- Build provisioning, metering, billing, audit, compliance, and operational automation capabilities.
- Provide hands-on technical leadership across platform, infrastructure, security, AI/ML, and scientific application teams.
What they ask for
- 12+ years of software development experience focused on Enterprise SaaS product development.
- Expertise in enterprise SaaS systems, including authentication/authorization, multi-tenancy, RBAC, billing/metering, SDKs, and APIs.
- Experience with cloud-native architectures, event-driven systems, infrastructure-as-code, and containerized deployments.
- Hands-on Python and modern backend framework experience; BS, MS, or Ph.D. in Computer Science or a related field.
Nice to have
- Practical experience with agentic systems and workflow automation in regulated environments.
- Experience with scientific or laboratory data platforms, compliance frameworks, self-service enterprise tooling, or large-scale multi-tenant SaaS.
Pay
$204,000 — $310,000 USD (base salary)
Tools
OAuth 2.0, OIDC, SAML, Kubernetes, Terraform, AWS/GCP, Python, FastAPI
AI focus
Build agentic AI-powered systems for self-service tenant management, customer observability, compliance workflows, and AI-native APIs; experience with operational agentic systems is a bonus.
Model-written summary · the original posting is authoritative