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Senior Software Engineer, Chaos Engineering

Datadog· Engineering
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Hybrid (Paris, France)Full-timePosted 3w ago

About the role

Senior Software Engineer role within Datadog’s Chaos Engineering team focused on zonal resilience, fault injection, incident replay, gameday orchestration, and reliability tooling. Hybrid workplace in Paris, France. Expect collaboration across engineering teams to design systems that safely exercise production failure modes and advance AI-assisted reliability practices.

Responsibilities

  • Build zonal-resilience automation that coordinates safe workload evacuations, switchovers, and recovery in partnership with the teams that own affected services.
  • Design and build fault-injection systems for production environments, including infrastructure- and application-level testing, incident replay, and controlled resilience experiments.
  • Develop safeguards such as blast-radius controls, kill switches, validation mechanisms, and rollback paths that keep production experiments contained and reversible.
  • Build agents and automation that help propose failure scenarios, triage experiment results, and connect reliability findings to tracked remediation and verification.
  • Lead gamedays from hypothesis and scenario design through execution, documented findings, remediation tracking, and validation of completed fixes.
  • Design and implement reliable distributed systems, including gRPC services, Kubernetes controllers, and shared platform components, while contributing to technical design and mentoring other engineers.

Qualifications

  • Strong distributed systems fundamentals and ability to reason about consistency, failure modes, backpressure, idempotency, quorum, retries, and failure recovery.
  • Understanding of Kubernetes workload lifecycles, including pods, controllers, scheduling, draining, and eviction in relation to resilient design.
  • Experience designing, building, or operating production systems with emphasis on safety, availability, and controlled failure handling.
  • Clear communication of complex technical decisions through design documents, runbooks, postmortems, and cross-functional discussions.
  • Comfort collaborating across engineering teams to understand unfamiliar systems, identify failure modes, and drive resilience improvements.
  • Experience with reliability engineering, chaos engineering, zonal failover, AI-assisted operational workflows, traffic interception, or large-scale observability systems is beneficial but not required.

Skills

Required:Distributed systems fundamentalsKubernetes

Benefits

  • Benefits & Growth opportunities listed in the job description (varies by country and employment type).
Last updated Oct 22, 2026. Interested? Apply on the company site.

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