Configurable identity infrastructure for KYC, AML, KYB, fraud detection, onboarding, and more.
Software Engineer, Compute
Location
United States
Posted
57 days ago
Salary
$130K - $220K / year
Seniority
Mid Level
Job Description
Software Engineer, Compute
Persona
Role Description The Compute team's mission: any engineer, using AI, should be able to stand up and operate a stateful service at production scale with no meaningful infrastructure knowledge required. We build the tiering zones, guardrails, and AI skills that make this possible. Reliable, observable, and self-service by design. This is a software engineering role. You'll spend real time writing code: - Platform APIs - Internal tooling - Deployment pipelines - Automation that replaces the support tickets Infrastructure fluency matters; infrastructure specialization is not the lead. What matters most is product instinct: - Understanding your users (product engineers) - Measuring whether they're getting unblocked - Treating developer experience as feature acceptance criteria The platform is yours to own, not just build: - When ArgoCD fails and every team's deploy is blocked, that's your page. - When a product engineer can't figure out why their service is OOMKilling and there's no useful error surface, that's your design failure to fix. A Software Engineer will grow their infrastructure depth on the job; what we need on day one is: - Strong SWE fundamentals - Genuine curiosity about the infrastructure layer - Sharp instincts about what makes developer tooling frustrating versus useful Qualifications - Strong SWE fundamentals: shipped production services, writes readable and operable code, can debug distributed system failures across layers you don't fully own - Product instinct: you measure adoption, treat low usage as a design failure, and change things based on user feedback rather than your own assumptions - Developer experience sensibility: you identify friction in CLIs, APIs, and deployment workflows and design for clear affordances, actionable error states, and progressive disclosure - Kubernetes in practice: you've operated services on K8s, can debug scheduling failures, write RBAC policies, and work out why a pod won't start. You're willing to be paged for the platform you build. - Infrastructure as code in a team context: you've modified production IaC alongside other engineers and understand why declarative infrastructure and change safety matter Requirements - Deep K8s internals: cluster lifecycle, admission controllers, custom controllers/operators - ArgoCD or another GitOps tool in production - GKE or managed Kubernetes at scale - Ruby or Rails (we integrate with Ruby systems) - Experience in a regulated or high-trust environment Benefits - Medical, dental, and vision coverage - 3% 401(k) contribution - Unlimited PTO - Quarterly mental health days - Family planning benefits - Professional development stipend - Wellness benefits
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