Manager, Software Engineering – Resilience Engineering

🕒 April 30

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Affirm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💳 Fintech

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2021-01

Fintech • B2C • eCommerce

Affirm is a financial technology company that offers a 'Buy Now, Pay Later' service, allowing consumers to make purchases and pay for them over time with flexible payment plans. Affirm eliminates hidden fees and compound interest, providing clear terms and conditions for its users. The company also offers the Affirm Card, a debit card that allows users to request to pay over time for larger purchases or pay in full for smaller ones. Affirm partners with various retailers across multiple categories, including electronics, apparel, and travel, providing customers with the convenience of paying over time at checkout both online and in physical stores. Affirm's services are integrated with Apple Pay, enabling customers to make payments seamlessly from their iPhone or iPad.

📋 Description

• 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. • 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. • 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.

🎯 Requirements

• 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. • Strong communication and leadership skills, with a track record of influencing engineering practices across teams.

🏖️ Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount