Manager, Software Engineering (Resilience Engineering)
Affirm · Phoenix, AZ · 1 wk ago
RemoteRemoteEngineeringFull-time
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.
- Possess strong communication and leadership skills, with a track record of influencing engineering practices across teams.
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.
Qualifications
- 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, Kotlin, Java, or similar).
- Excellent problem-solving skills and the ability to balance long-term resilience investments with immediate business needs.
- This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Benefits
- Base Pay Grade - P
- Equity Grade - 13
- 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.)
- USA base pay range (CA, WA, NY, NJ, CT) per year: 230,000 - 290,000
- USA base pay range (all other U.S. states) per year: 204,000 - 264,000
Contact Information
- USA base pay range (CA, WA, NY, NJ, CT) per year: 230,000 - 290,000
- USA base pay range (all other U.S. states) per year: 204,000 - 264,000
Application Instructions
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