Manager, Software Engineering (Resilience Engineering)

Affirm; London; Remote; CAD 181,000 - 241,000; Full time

Benefits offered by this job

100% health coverage for you and your

Tech stipends

Equity rewards

Remote-first with in-person onboarding

Job summary

Affirm, Inc. is seeking a seasoned Engineering Manager to lead the Resilience Engineering team. You’ll drive production load testing and chaos engineering practices to ensure reliability of our systems.

You will mentor engineers, collaborate with infrastructure, product, and security leadership, and establish safe, scalable platforms with end-to-end observability. This role is remote-first with flexibility; CAN base pay ranges from CAD 181,000 to 241,000 per year, with equity potential and a

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.
• Experience with a chaos engineering vendor such as Gremlin, Harness, or similar.
• Strong understanding of failure modes in distributed systems.
• Experience building or operating systems with safe guarantees (isolation, rate limiting, guardrails, auditability).
• Familiarity with cloud-native environments (AWS, Kubernetes) and observability tooling.
• Strong programming background (Python, Kotlin, Java, or similar).
• Excellent problem-solving and leadership with cross-team influence.

Responsibilities

• Define and drive the resilience engineering vision for production load testing and chaos engineering.
• Lead and mentor engineers building platforms and tooling for safe production experimentation.
• Partner with infra, product, and security leadership to embed resilience validation into the SDLC.
• Establish best practices for testing system limits and failure scenarios in production.
• Own the design and evolution of platforms enabling safe production load testing and fault injection.
• Ensure safeguards with isolation boundaries, approval workflows, and automated rollbacks.
• Build end-to-end observability, traceability, and auditability for resilience experiments.
• Drive reliability improvements by identifying weaknesses through load tests and chaos experiments.
• Establish monitoring, alerting, and incident response for proactive resilience validation.
• Collaborate with engineering teams to design and execute tests safely and effectively.
• Partner with infrastructure to build guardrails around tests and experiments.
• Provide reusable tooling and standardized workflows to enable resilience practices.

Skills

Leadership

Production load testing

Chaos engineering

Distributed systems

AWS

Kubernetes

Python

Java

Observability

Tools

Gremlin

Harness

Job description

At Affir m, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

We are seeking a seasoned Engineering Manager to lead our Resilience Engineering team. This role is critical in ensuring the safety and reliability of our production systems through proactive validation techniques, including production load testing and chaos engineering.

You will lead the development of systems and practices that allow engineers to safely test system behavior under stress and failure conditions in production, ensuring issues are discovered and mitigated before they impact real users.

What you’ll do

Leadership & Strategy

• Define and drive the vision for resilience engineering at Affir m, 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.

Systems & Operations

• 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.

Collaboration & Enablement

• 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.

What we look for

• 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.

This posting is for an existing vacancy.

Pay Grade - P Equity Grade - 7

Employees new to Affir m typically come in at the start of the pay range. Affir m focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affir m Holdings, Inc. (parent company).

CAN base pay range per year: 181,000 - 241,000

Remote-first with flexibility built in

Affir m is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affir m office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits Designed For You

Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
• Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affir m stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affir m considers qualified applicants with arrest and conviction records, as required by law.