Software Engineer, Compute

Persona

1d•$130,000 - $220,000•Hybrid

About The Position

The Compute team's mission is to enable any engineer, using AI, 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, ensuring reliability, observability, and self-service by design. This is a software engineering role where you will write code for platform APIs, internal tooling, and deployment pipelines, focusing on automation that replaces support tickets. Infrastructure fluency is important, but infrastructure specialization is not the lead. What matters most is product instinct: understanding your users (product engineers), measuring whether they're getting unblocked, and treating developer experience as feature acceptance criteria. The platform is yours to own, not just build. You will be on-call for platform issues, such as ArgoCD failures or when a product engineer can't diagnose service issues. 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, and sharp instincts about what makes developer tooling frustrating versus useful.

Requirements

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.

Nice To Haves

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

Responsibilities

Build internal platform tooling and APIs that product engineers use to deploy, scale, and observe services, with developer experience as a first-class requirement.
Own and evolve the Kubernetes platform, ArgoCD deployment pipeline, and Terraform IaC that underpin every service at Persona.
Improve platform observability so "why is my service slow" and "why did my deploy fail" have self-service answers. Instrumentation is a platform primitive, not a per-service afterthought.
Drive Cloud Run-to-Kubernetes migration, working directly with product teams to remove blockers and hand off operational ownership cleanly.
Design self-service workflows to reduce the Compute interrupt load. Success means product engineers can do more without filing a ticket.