Remote Lead, Resilience Engineering & Chaos Testing

Affirm

Ottawa

On-site

CAD 181,000 - 241,000

Full time

7 days ago
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Benefits offered by this job

Health care coverage
Flexible Spending Wallets
Time off — vacation and holidays
ESPP

Job summary

Affirm is redefining credit with a remote-first approach, offering a transparent pay structure and equity rewards. This role leads resilience engineering, focusing on safe production load tests and chaos experiments, guiding engineers, and embedding validation across the software lifecycle.

You will collaborate with cloud-native teams, implement guardrails, and drive reliability improvements while maintaining strong security and observability practices across scalable platforms.

Qualifications

  • Proven experience leading engineering teams in reliability, infrastructure, or distributed systems.
  • Hands-on production load testing and chaos engineering experience.
  • Experience with chaos engineering vendors (Gremlin/Harness).
  • Strong knowledge of failure modes in distributed systems.
  • Experience with cloud-native environments (AWS, Kubernetes).

Responsibilities

  • Define and drive the vision for resilience engineering at affirm.
  • Lead and mentor a team of engineers building platforms and tooling.
  • Partner with leadership to embed resilience validation into SDLC.
  • Establish best practices for testing in production.
  • Own design of platforms enabling safe production load testing and fault injection.
  • Ensure safeguards: isolation, approvals, automated rollback.
  • Build end-to-end observability and auditability for resilience experiments.
  • Drive reliability improvements via load testing and chaos experiments.

Skills

Leadership
Chaos engineering
Production load testing
Observability
AWS
Kubernetes
Python
Java
Kotlin

Tools

Gremlin
Harness

Job description

Affirm is redefining credit with a remote-first approach, offering a transparent pay structure and equity rewards. This role leads resilience engineering, focusing on safe production load tests and chaos experiments, guiding engineers, and embedding validation across the software lifecycle.

You will collaborate with cloud-native teams, implement guardrails, and drive reliability improvements while maintaining strong security and observability practices across scalable platforms.

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