Staff Engineer, Enterprise Externalization

Lila Sciences

$192K — $272K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in software development with a focus on Enterprise SaaS product development
  • Expertise in enterprise SaaS platform systems including OAuth 2.0, OIDC, SAML
  • Experience with cloud-native architectures like Kubernetes, Terraform, and AWS/GCP
  • Proven record of delivering enterprise platforms in fast-paced environments
  • Strong skills in cross-functional communication and architectural influence
  • Hands-on coding experience in Python and modern backend frameworks
  • Degree in Computer Science or a related field (BS, MS, PhD)

Responsibilities

  • Drive core enterprise capabilities to production including multi-tenancy and tenant isolation
  • Design core identity systems for Lila’s enterprise platform
  • Architect systems for tenant provisioning, usage metering, billing, and compliance workflows
  • Operate as a senior technical leader across multiple engineering teams
  • Define platform primitives for scientific workflows and data domains
  • Implement self-service operational workflows while ensuring safety guarantees

Benefits

  • Comprehensive medical, dental, and vision coverage
  • Employer-paid life and disability insurance
  • Flexible time off with generous company-wide holidays
  • Paid parental leave and educational assistance program
  • Commuter benefits including bike share memberships
  • Company-subsidized lunch program
Full Job Description
Your Impact at LILA

We9re hiring a Staff Engineer, Enterprise Platform to build the foundational systems that make Lila ready for the world9s largest pharmaceutical and research organizations.

Today we have the beginnings of multi-tenancy, identity and granular permissions and scopes, audit infrastructure, usage and billing. Enterprise customers require significantly more. You will drive core enterprise capabilities to production: multi-tenancy and tenant isolation, enterprise identity and permissions to support the full lifecycle of the Lila Platform, metering and billing infrastructure, audit logging, etc. You will push the frontier - building agentic AI-powered systems for self-service tenant management, intelligent customer observability, automated compliance workflows, Lila SDK, MCP, and AI-native external APIs that let customers and third-party agents interact programmatically with Lila9s platform.

This is a deeply technical senior individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure. This is a high-autonomy, high-impact role. We move fast, ship weekly, and expect engineers who thrive in ambiguity not ones who wait for requirements to be handed to them. You will own outcomes.

What You9ll Be Building
  • Enterprise infrastructure is foundational to making autonomous science deployable in the real world. The systems built in this role will determine how large organizations safely adopt, govern, and scale AI-driven scientific workflows across teams, data domains, and regulatory environments.

You9ll help define the platform primitives that make that possible.
  • Design and evolve the core identity systems powering Lila9s enterprise platform - organizations, groups, roles, SCIM provisioning, seat lifecycle management, and fine-grained authorization across experiments, datasets, models, and scientific workflows. You9ll define how tenant isolation, policy evaluation, and access governance work across the platform.
  • Design tenant-aware schemas, metadata systems, and platform primitives that support highly heterogeneous scientific data across life sciences and materials science workloads. 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 toward self-service and agentic operational workflows that reduce manual intervention while maintaining strong safety guarantees.
  • Operate as a senior technical leader across platform engineering, infrastructure, security, AI/ML, and scientific application teams. This is a hands-on Principal Engineer role with broad architectural influence, high autonomy, and direct ownership of critical platform systems.

What You9ll Need to Succeed
  • 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 where speed-to-value mattered as much as long-term architecture
  • 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)
  • BS, MS, or Ph.D. in Computer Science or a related field of study

Bonus Points For
  • You have practical experience with agentic systems and workflow automation where models take actions with real operational consequences in regulated environments.
  • You9ve 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.
  • You9ve 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+
  • You9ve operated multi-tenant SaaS systems at significant scale with strict isolation, reliability, and compliance requirements.


Compensation

We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits. Full-time U.S. employees receive a 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; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range

$192,000-$272,000 USD

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