Senior Chaos Engineer (AI)

Location: Remote, Canada

Company

hirify.global provides an event-driven data and integration platform used by enterprises to build real-time experiences, modernize application landscapes, and support enterprise AI systems.

What you will do

• Own the chaos engineering strategy for the hirify.global platform based on customer deployment and failure risks.
• Model expected system behavior under failure and design, implement, and execute experiments across infrastructure, network, storage, and application faults.
• Verify correctness under failure, debug complex multi-system incidents, and trace issues to root cause.
• Use AI to scale experiment design, automate analysis, and accelerate root cause investigations.
• Partner with engineering squads and product across R&D to drive remediation and embed resilience into development and operations.
• Define reliability metrics, report customer impact, recommend priorities, and mentor engineers.

Requirements

• 7+ years of experience in software engineering, system-level engineering, or chaos engineering, including significant experience testing or operating distributed systems in production.
• Strong systems thinking and the ability to reason about end-to-end failure combinations and cascading effects.
• Customer-first approach to defining correct system behavior.
• Experience designing and leading chaos engineering programs with Chaos Mesh and/or cloud-provider fault injection services, including AWS Fault Injection Service, Azure Chaos Studio, or GCP fault injection testing.
• Deep knowledge of distributed systems concepts and failure modes, ideally in event-driven architectures.
• Exceptional debugging and root cause analysis skills.
• Expertise in AWS, Azure, or GCP, Kubernetes, and observability tooling covering metrics, logs, and traces.
• Ability to build and evolve experiment tooling, workload generators, and verification harnesses, owning design and technical judgment while using AI for coding.
• Enthusiasm for AI as a native part of engineering work and ability to promote that approach to others.
• Ability to influence across teams without direct authority, communicate risk clearly, and mentor engineers.

Nice to have

• Experience with messaging systems or event streaming technologies such as hirify.global, Kafka, MQTT, AMQP, or JMS.

Culture & Benefits

• Full-time role on the R&D team with a remote work arrangement in Canada.
• Hybrid-first flexibility and an emphasis on work-life balance.
• Training programs and a growth-oriented environment.
• Values include craftsmanship, trust, courage, freedom, momentum, humility, and human experience.
• AI tools may be used for initial resume screening, while interviews and final hiring decisions are made by human recruiters.
• Accommodation support is available during the hiring process, with an inclusive and transparent recruitment approach.