Remote Engineering Manager, Resilience & Chaos Engineering

Affirm, Inc.; Miami (FL); Remote; USD 204,000 - 290,000; Full time

Benefits offered by this job

Health coverage for you and dependents

Monthly tech stipends for setup

Generous time off

ESPP

Job summary

Affirm, Inc. is seeking a seasoned Engineering Manager to lead the Resilience Engineering team. You will drive the vision and execution of production load testing, chaos engineering, and safety-first experimentation across large-scale systems.

You will mentor engineers, partner with infrastructure and security, and establish best practices to prevent outages while enabling fast, safe testing in production.

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.
• Familiarity with chaos engineering vendors (Gremlin, Harness, etc.).

Responsibilities

• Define and drive the vision for resilience engineering, focusing on production load testing and chaos engineering as core practices.
• Lead and mentor engineers building platforms and tooling for safe production experimentation.
• Partner with infrastructure, product, and security leadership to embed resilience validation into the software lifecycle.
• Establish guardrails, monitoring, and incident response for proactive resilience validation.

Skills

Reliability leadership

Production load testing

Chaos engineering

Distributed systems

Cloud (AWS)

Kubernetes

Programming (Python/Java/Kotlin)

Education

Bachelor’s degree in related field

Tools

Gremlin

Harness

Job description

Affirm, Inc. is seeking a seasoned Engineering Manager to lead the Resilience Engineering team. You will drive the vision and execution of production load testing, chaos engineering, and safety-first experimentation across large-scale systems.

You will mentor engineers, partner with infrastructure and security, and establish best practices to prevent outages while enabling fast, safe testing in production.