Staff Engineer, Enterprise Externalization
Core
Building foundational enterprise platform infrastructure (multi-tenancy, identity, billing, audit) and agentic AI systems for self-service tenant management and external APIs to enable large pharmaceutical and research organizations to safely adopt autonomous science workflows.
Role type
Staff/Principal Enterprise Platform Engineer (Infrastructure & AI)
Builds
Multi-tenant SaaS platform primitives, enterprise identity/authorization systems, metering/billing infrastructure, agentic AI operational workflows, and external APIs/SDKs.
Domain
Life Sciences / Chemistry / Materials Science / Enterprise SaaS
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise SaaS platform architecture, multi-tenancy and tenant isolation, identity and access management (OAuth 2.0, OIDC, SAML, RBAC), billing and metering systems, cloud-native infrastructure (Kubernetes, Terraform, AWS/GCP), event-driven systems, Python, FastAPI, async Python, infrastructure-as-code, containerized deployments.
Preferred skills
Agentic systems and workflow automation, scientific data platforms (LIMS, ELN, bioinformatics), self-service enterprise tooling design, compliance frameworks (SOC 2, HIPAA, GxP, FedRAMP, ALCOA+), large-scale multi-tenant SaaS operations.
Technologies
Kubernetes, Terraform, AWS, GCP, Python, FastAPI, OAuth 2.0, OIDC, SAML, SCIM
Responsibilities
Design and evolve core identity systems (organizations, groups, roles, SCIM, seat lifecycle); define tenant isolation, policy evaluation, and access governance; architect systems for tenant provisioning, usage metering, billing, data migrations, and compliance workflows; operate as a technical leader across platform engineering, infrastructure, security, AI/ML, and scientific application teams.
Seniority
Staff/Principal, hands-on IC with broad architectural influence