Staff Engineer, Enterprise Externalization at Lila Sciences | CA, US | Rezi

Staff Engineer, Enterprise Externalization at Lila Sciences

Staff Engineer, Enterprise Externalization

Lila Sciences · CA, US

Yesterday

Staff Engineer, Enterprise Externalization

Lila Sciences · CA, US

2 days ago
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About the Role

Lila Sciences is building the infrastructure for autonomous science, enabling AI systems to design and run experiments across various scientific fields. This role focuses on building foundational enterprise capabilities for large pharmaceutical and research organizations, including multi-tenancy, identity management, billing, and audit infrastructure. It's a senior individual contributor position with high autonomy and impact, requiring engineers who thrive in ambiguity and own outcomes.

Responsibilities

  • Drive core enterprise capabilities to production, including multi-tenancy and tenant isolation.
  • Implement enterprise identity and permissions to support the full lifecycle of the Lila Platform.
  • Develop metering and billing infrastructure, and enhance audit logging.
  • Build agentic AI-powered systems for self-service tenant management.
  • Create intelligent customer observability and automated compliance workflows.
  • Develop the Lila SDK, MCP, and AI-native external APIs for programmatic interaction.
  • Design and evolve core identity systems, including organizations, groups, roles, SCIM provisioning, and seat lifecycle management.
  • Define fine-grained authorization across experiments, datasets, models, and scientific workflows.
  • Define tenant isolation, policy evaluation, and access governance mechanisms.
  • Design tenant-aware schemas, metadata systems, and platform primitives for heterogeneous scientific data.
  • Drive architectural decisions around scalability, reliability, retention, and operational correctness.
  • Architect systems for tenant provisioning, usage metering, billing, data migrations, compliance workflows, and operational automation.
  • Push towards self-service and agentic operational workflows.
  • Operate as a senior technical leader across platform engineering, infrastructure, security, AI/ML, and scientific application teams.

Requirements

  • 8+ 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.
  • Strong cross-functional communication skills and the ability to influence architecture across teams.
  • Hands-on coding in Python and modern backend frameworks (FastAPI, async Python).

Skills

  • Python
  • FastAPI
  • async Python
  • OAuth 2.0
  • OIDC
  • SAML
  • multi-tenancy
  • RBAC
  • billing/metering
  • SDK
  • APIs
  • Kubernetes
  • Terraform
  • AWS
  • GCP
  • infrastructure-as-code
  • containerized deployments
  • agentic systems
  • workflow automation
  • LIMS
  • ELN
  • bioinformatics
  • SOC 2
  • HIPAA
  • GxP
  • FedRAMP
  • ALCOA+

Experience Level

  • Staff Engineer
  • Senior technical leader
  • Principal Engineer

Education Level

  • BS, MS, or Ph.D. in Computer Science or a related field of study

Salary/Compensations

  • $192,000—$272,000 USD

Benefits

  • Competitive base compensation with bonus potential and generous early-stage equity.
  • Medical, dental, and vision coverage.
  • Employer-paid life and disability insurance.
  • Flexible time off with generous company wide holidays.
  • Paid parental leave.
  • Educational assistance program.
  • Commuter benefits, including bike share memberships for office based employees.
  • Company subsidized lunch program.
  • Comprehensive benefits program tailored to their region (for international employees).

About the Company

  • Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
  • We believe science is the most inspiring frontier for AI.
  • LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.
  • Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.

Equal Opportunity

  • Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
  • Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.