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 Strong 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.
#J-18808-Ljbffr
Resilience Engineering Manager employer: Affirm
At Affirm, we pride ourselves on being a remote-first employer that values flexibility and inclusivity, allowing our Machine Learning Engineers to thrive in a supportive environment. With comprehensive health coverage, generous time-off policies, and opportunities for professional growth, we empower our employees to take ownership of their careers while contributing to meaningful projects that redefine credit. Join us in a culture that prioritizes transparency and collaboration, where your contributions directly impact the future of financial technology.
