Member of Technical Staff (Enterprise Foundations)

Join Fireworks, a leading AI company, as a Member of Technical Staff in the Enterprise Foundations team. You will be responsible for building foundational capabilities for large-scale enterprises, including data models, APIs, multi-tenant authorization, and billing systems. You will work closely with customers, own end-to-end features, and have a direct impact on revenue. The ideal candidate has 4+ years of experience in backend or distributed systems, strong server-side engineering skills, and familiarity with cloud platforms and Kubernetes.

• Posséder des capacités fondamentales de bout en bout, y compris le modèle de données et l'API, le plan de contrôle, l'exécution, le SDK/CLI et la console.
• Concevoir des primitives autour desquelles les grands clients s'organisent, y compris les organisations et les sous-comptes, les groupes, les rôles et les identités de service.
• Concevoir des systèmes d'autorisation multi-locataires, d'application des politiques et d'audit qui résistent à l'examen d'un architecte en sécurité.

• You'd rather ship what closes the deal than perfect the abstraction
• You want your work measured in unblocked revenue, not tickets closed
• You treat ambiguity as the job, not a complaint about the job
• You're comfortable owning domains you've never worked in before
• You want the whole problem — data model through UI — and don't need someone else to draw the edges for you
• You can hold your own with an enterprise security architect
• Experience designing APIs and data models that other teams build on, and evolving them under live traffic without breaking callers
• Willingness to work directly with customers
• A track record of owning an ambiguous, cross-team workstream from requirement through production
• 4+ years building and operating production backend or distributed systems at scale
• Hands-on depth in at least one major cloud (AWS, GCP, or Azure): IAM and workload identity, KMS, object storage, and VPC networking
• Strong server-side engineering skills in Go, Python, C++, TypeScript, or similar, and willingness to work outside your primary layer to land a feature
• Familiarity with LLM inference and fine-tuning — our work runs straight through the training and serving stacks, so it helps
• Kubernetes depth and infrastructure-as-code fluency (Terraform, GitOps)
• Applied cryptography and key management: envelope encryption, KMS, and threat modeling
• Metering, quotas, or billing systems where correctness is customer-visible
• Enterprise identity and tenancy: SSO, SCIM provisioning, RBAC/ABAC, audit logging, and org modeling