
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
Were looking for a Software Engineer to design and build a next-generation reliability platform for Affirms production systems. Youll 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
1.5+ years of experience as a software engineer
Strong proficiency in Python, with experience architecting target="_blank">Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.