Senior Software Engineer, Compute

🕒 May 26

🏢🏡 San Francisco – Hybrid

💵 $190k - $250k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Persona

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

📋 Compliance

💳 Fintech

🔐 Security

Compliance • Fintech • Security

Persona is a leading provider of identity verification solutions, excelling in KYC (Know Your Customer), AML (Anti-Money Laundering) compliance, fraud prevention, and operational efficiency. It offers a comprehensive platform that enables businesses to automate and manage identity operations, integrating a wide range of verification methods including government IDs, biometric checks, and document verifications. The platform is adaptable to industries such as fintech, digital health, e-learning, and more, allowing companies to tailor verification processes to their specific needs. Persona's solutions help streamline customer onboarding, enhance compliance, and mitigate fraud risks, ensuring secure and efficient identity verification for a global clientele. With a focus on privacy and security, Persona empowers businesses to securely control and manage Personally Identifiable Information (PII).

📋 Description

• 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. • Define the interfaces and abstractions the platform exposes to product teams. What does "easy to use correctly" look like for a deployment workflow or platform API?

🎯 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 • Senior candidates: we look for production-level Terraform ownership, including state, module composition, and clean infrastructure refactors.

🏖️ Benefits

• medical • dental • vision • 3% 401(k) contribution • unlimited PTO • quarterly mental health days • family planning benefits • professional development stipend • wellness benefits