Principal Engineer, Software (Enterprise Platform)
$204k - $310k • San Francisco, CA USA • Full-time
Posted 4mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This Principal Engineer role will focus on building foundational enterprise systems to prepare Lila for large pharmaceutical and research organizations. The work involves driving core enterprise capabilities like multi-tenancy, identity management, permissions, audit infrastructure, and billing. A key aspect will be pushing the frontier by building agentic AI-powered systems for self-service tenant management, customer observability, automated compliance, and AI-native external APIs for programmatic interaction. This is a deeply technical, high-autonomy, individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure, with a fast-paced, weekly shipping cadence.
Responsibilities
- Design and evolve core identity systems for organizations, groups, roles, SCIM provisioning, seat lifecycle management, and fine-grained authorization.
- Define tenant isolation, policy evaluation, and access governance across the platform.
- Design tenant-aware schemas, metadata systems, and platform primitives for heterogeneous scientific data.
- Architect systems for tenant provisioning, usage metering, billing, data migrations, compliance workflows, and operational automation.
- Drive toward self-service and agentic operational workflows.
- Operate as a senior technical leader across platform engineering, infrastructure, security, AI/ML, and scientific application teams.
- Influence architecture across teams and own critical platform systems.
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.
- Familiarity with infrastructure-as-code and containerized deployments.
- Track record building enterprise platforms in high-growth environments.
- Strong cross-functional communication skills.
- Hands-on coding in Python and modern backend frameworks (FastAPI, async Python).
- BS, MS, or Ph.D. in Computer Science or a related field.
Benefits
- Competitive base compensation with bonus potential.
- Generous early-stage equity.
- Comprehensive benefits program including 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.
- Company subsidized lunch program.