Software Engineer II, Backend (Reliability Platform)

We’re looking for a software engineer to design and build a next-generation reliability platform for Affirm’s production systems. You’ll blend traditional distributed systems engineering with AI-assisted development to give teams a single place to understand, debug, and improve the health of their services.

This is a highly creative, hands-on role for someone who loves “vibe coding” — rapidly iterating, shipping, and refining with strong intuition— while still holding a very high bar for reliability, quality, and maintainability.

What you will do

• Build a centralized reliability command center that gives teams a unified view of system health, risk, and reliability across services and environments.

• Create AI agents that can assist with incident triage, root-cause exploration, log/trace summarization, and recommended next actions.

• Create delightful developer-facing features and APIs that help engineers explore data, debug issues, and make better decisions.

• Use AI-assisted development tools (e.g., Cursor, Claude, Copilot-like tools) as leverage to prototype, refactor, and ship high-quality code quickly.

• Own projects end-to-end: requirements, architecture, implementation, testing, rollout, and iteration based on feedback.

• Collaborate closely with partner teams (product, infra, data, SRE) to understand pain points and translate them into simple, powerful solutions.

What we look for

• This position requires either equivalent practical experience or a Bachelor’s degree in a related field

• Strong proficiency in Python, with experience architecting data-intensive applications and robust APIs

• Problem-solving and product sense: you care about the "what" and the "why," not just the "how." You are capable of taking ambiguous requirements and rapidly iterating towards a working solution

• Hands-on experience with AI-assisted development, such as Cursor, Claude, or similar tools, and enthusiasm for using them to build and ship features faster.

• Practical use of LLMs or AI frameworks to enhance automation and gui