Software Engineer II, Backend (Reliability Platform)

About the role

We are seeking a Software Engineer to join our team and contribute to building a next-generation reliability platform for Affirm’s production systems. This role blends traditional distributed systems engineering with AI-assisted development to provide teams with a unified view of system health, risk, and reliability.

Responsibilities

• Create a centralized reliability command center that provides teams with a unified view of system health, risk, and reliability across services and environments.
• Create AI agents to assist with incident triage, root-cause exploration, log/trace summarization, and recommended next actions.
• Develop delightful developer-facing features and APIs to help engineers explore data, debug issues, and make better decisions.
• Use AI-assisted development tools (e.g., Cursor, Claude, Copilot-like tools) to prototype, refactor, and ship high-quality code quickly.
• Own projects end-to-end: from requirements to 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.

Requirements

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

Qualifications

• Experience with distributed systems and reliability engineering.
• Knowledge of cloud platforms and infrastructure.
• Experience with data analysis and machine learning.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Skills

• Python programming language.
• Data analysis and machine learning.
• AI-assisted development tools.
• Cloud platforms and infrastructure.
• Collaboration and communication skills.

Benefits

• Base Pay Grade - L
• Equity Grade - 6
• Simple and transparent pay structure based on a variety of factors including location, experience, and job-related skills.
• Competitive benefits package including health care coverage, flexible spending wallets, time off, ESPP, and more.
• Remote-first company with options to work from home or in-person depending on the role.