Build an AI-assisted reliability command center for Affirm's production systems

Affirm is hiring a Backend Software Engineer to build a next-generation reliability platform, including a centralized command center for system health and AI agents that assist with incident triage and root-cause exploration. The role requires 1.5+ years of software engineering experience with strong Python proficiency and explicitly expects heavy use of AI-assisted development tools (Cursor, Claude, Copilot-like) as part of the daily workflow. This interview probes backend/API design for data-intensive systems, ownership of ambiguous problems end-to-end, and comfort embedding LLMs into developer tooling with guardrails.

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What this interview tests

Architecting data-intensive backend systems and APIs in Python
Practical use of AI-assisted dev tools (Cursor, Claude, Copilot-like) in daily workflow
Designing guardrails/citations into LLM-powered developer tooling
Owning ambiguous projects end-to-end (requirements through rollout)
Cross-team collaboration with product, infra, data, SRE

Common question themes

Walk through a data-intensive Python backend system or API you built

Describe using an AI-assisted dev tool (Cursor/Claude) to ship something faster — and how you kept quality high

How would you design guardrails into an AI agent that recommends incident actions?

Tell me about a time you owned an ambiguous project end-to-end

How do you collaborate with SRE/infra/data partners to translate pain points into solutions?

How candidates describe it

Real Software Engineer II interview stories — retold from candidates' public write-ups, with sources.

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