Lead resilience engineering at affirm through production load testing and chaos engineering, with a remote-first workforce model stated. Guide teams building safer systems for production experimentation.
As an Engineering Manager, you will define resilience engineering vision and lead engineers developing platforms and tooling. The work focuses on distributed-system failure modes, cloud-native environments, observability, and proactive validation. You will help engineering teams discover and mitigate weaknesses before users experience them.
Key Responsibilities:
- Lead and mentor resilience engineering teams
- Define production load testing and chaos engineering practices
- Build platforms for controlled production experimentation
- Establish safeguards, approval workflows, and automated rollbacks
- Drive reliability improvements through resilience experiments
Requirements:
- Experience leading reliability, infrastructure, or distributed-systems teams
- Hands-on production load testing or chaos engineering experience
- Robust programming background in Python, Kotlin, Java, or similar
- Familiarity with AWS, Kubernetes, and observability tooling
- Understanding of latency, partial failure, and cascading outages
Bring engineering leadership, distributed-systems expertise, and resilience validation experience to affirm’s production reliability work.