Manager, Software Engineering (Resilience Engineering)

What you'll do

Leadership & Strategy

• Define and drive the vision for resilience engineering at Affirm, with a focus on production load testing and chaos engineering as first-class engineering practices.
• Lead and mentor a team of engineers building platforms and tooling for safe production experimentation.
• Partner with infrastructure, product, and security leadership to embed resilience validation into the software development lifecycle.
• Establish best practices for safely testing system limits and failure scenarios in production.

Systems & Operations

• Own the design and evolution of platforms that enable safe, controlled production load testing and fault injection.
• Ensure strong safeguards are in place, including isolation boundaries, approval workflows, and automated rollback mechanisms to protect real users.
• Build systems that provide end-to-end observability, traceability, and auditability for all resilience experiments.
• Drive reliability improvements by systematically identifying weaknesses through load testing and chaos experiments.
• Establish monitoring, alerting, and incident response practices tailored to proactive resilience validation.

Collaboration & Enablement

• Work closely with engineering teams to design and execute production load tests and chaos experiments safely.
• Partner with infrastructure teams to build guardrails around tests and experimentations.
• Enable teams to adopt resilience practices by providing reusable tooling, frameworks, and standardized workflows.
• Identify systemic weaknesses and lead cross-functional efforts to improve reliability and fault tolerance.
• Evangelize a culture of “test failure before failure tests you” across the organization.

What we look for

• Proven experience leading engineering teams in reliability, infrastructure, or distributed systems.
• Hands-on experience with production load testing, chaos engineering, or large-scale system validation.
• Experience with leveraging a chaos engineering vendor such as Gremlin, Harness, or something similar.
• Strong understanding of failure modes in distributed systems, including latency, partial failure, and cascading outages.
• Experience building or operating systems with strong safety guarantees (isolation, rate limiting, guardrails, auditability).
• Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling.
• Strong programming background (e.g., Python).