Software Engineer II, Backend (Infrastructure Platform)

About the role

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
• 1.5+ years of experience as a software engineer
• 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 guidance with guardrails and citations

Benefits

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).