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Platform Engineer, APIs and Security

Adaption· Platform
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Hybrid (San Francisco)Full-timePosted 2mo ago

About the role

Build the multi-tenant platform that turns inference infrastructure into a product enterprises and sovereign customers can trust, owning systems between customers and the inference stack including authentication, tenant isolation, quotas, metering, entitlements, and the public API with security and auditability as core requirements.

Responsibilities

  • Build the multi-tenant control plane, including credentials, quotas, rate limits, and tenant isolation.
  • Own our public inference APIs, including streaming, versioning, compatibility, and migrations.
  • Implement accurate usage metering, credit reservation, and entitlement enforcement.
  • Build enterprise capabilities such as SSO, access controls, audit logs, and data residency.
  • Test and continuously strengthen the tenant boundary.

Qualifications

  • 5+ years in backend, infrastructure, or platform engineering, including ownership of a multi-tenant API or control plane.
  • Deep knowledge of authentication, credential management, rate limiting, quotas, and tenant isolation.
  • Strong Python skills and sound API design judgment, ideally with high-throughput or streaming APIs.
  • Experience with metering, billing, credits, or entitlements, including idempotency, reconciliation, and audit trails.
  • Experience with enterprise or regulated environments, such as SSO, SAML/OIDC, SOC 2, data residency, or sovereign deployments.

Skills

Required:Backend engineeringPythonAPI designAuthentication & securityMetering / entitlements
Nice to have:Enterprise / regulated environments

Benefits

  • Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
  • Adaption Passport: Annual travel stipend to explore a country you've never visited.
  • Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
  • Well-Being: Comprehensive medical benefits and generous paid time off.
Last updated Sep 3, 2026. Interested? Apply on the company site.
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Everything intelligent adapts. So should AI.

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