Senior Software Engineer II, Enterprise Platform

Benefits and Culture

Location: onsite in San Francisco, CA. This role offers a competitive annual salary range of USD 180,000 - 256,000. You will join a mission-driven organization that values truth, trust, curiosity, grit, and velocity, delivering startup‑level momentum while tackling problems of historic scale.

Our internal scientists span physical and life sciences and are first-class users of the platform. You will design for both researchers and external developers, collaborating across infrastructure, data, applications, and science teams to deliver reliable backend systems. Lila Sciences is an equal opportunity employer focused on a diverse, inclusive culture.

About Lila

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. Rather than hard-coding expert knowledge into tools, Lila develops systems that can learn for themselves.

We combine advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Responsibilities

• Multi-Tenancy & Authorization: design secure tenant isolation, authentication, authorization, and auditing across customer organizations, including boundaries and isolation guarantees required for enterprise and regulated deployments. Build resilient backend services in Python with FastAPI and own multi-tenant data schemas and tenant-aware query patterns.
• Tenant Self-Serve & Lifecycle: develop services for tenant provisioning, self-service administration, and onboarding workflows. Support billing, pricing, and metering surfaces for enterprise customers.
• Public & Agent-Facing APIs: own and evolve public APIs (REST, streaming, async) for human developers and autonomous agents, ship SDKs, and define interfaces that agents call.
• MCP & Agent Integration: craft integration paths that connect MCPs, agents, and data into the platform, including onboarding customer-owned MCPs/agents/data and ensuring isolation and trust within a tenant.

Requirements

• 7+ years of backend software engineering with meaningful experience in APIs, backend services, or platform infrastructure.
• Strong expertise in one or more: API design and versioning, multi-tenancy, authentication/authorization, or backend services at scale.
• Proficiency in Python (FastAPI), Kubernetes, AWS, and databases (SQL or document databases).
• Commitment to developer experience, writing clear errors, and preserving backward compatibility.
• Demonstrated ability to ship working code regularly, debug production issues, and own systems end-to-end.
• Collaborative mindset across infra, data, apps, and science teams; build for internal scientists and external developers, communicating tradeoffs clearly in ambiguous situations.

Technologies

• Python
• FastAPI
• Kubernetes
• AWS
• SQL databases
• Document databases
• REST
• Streaming
• Async
• OpenAPI
• OIDC
• OAuth 2.0
• MCP

Bonus Points

• Experience building or maintaining multi-tenant SaaS platforms with audit, compliance, or isolation requirements (SOC 2, HIPAA, GxP, FedRAMP).
• Shipped public developer platforms, APIs, or SDKs and understand what makes integrations durable.
• Familiarity with MCP, OpenAPI, or OIDC/OAuth 2.0.
• Worked on tenant isolation patterns (row-level security, per-tenant schemas, search-path isolation).
• Experience with policy-based authorization (OPA) or externalized authorization models.