Senior Software Engineer - Incident Insights & Readiness

DataDog
Paris
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Technical leadership","Coaching","Collaboration","Communication","Mentorship"]

Build and improve the incident insights and readiness experience by owning on-call best practices and developing the software and platforms that support on-call rotations and compensation. Lead the design and implementation of tooling to streamline incident response, contribute to post-mortems, and help teams run blameless incident reviews. Provide technical leadership and day-to-day coaching, train on-callers, and drive cross-functional initiatives to enhance reliability and operational excellence across Datadog.

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FursaFursa
DataDog
DataDog
1 month ago

Senior Software Engineer - Incident Insights & Readiness

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and improve the incident insights and readiness experience by owning on-call best practices and developing the software and platforms that support on-call rotations and compensation. Lead the design and implementation of tooling to streamline incident response, contribute to post-mortems, and help teams run blameless incident reviews. Provide technical leadership and day-to-day coaching, train on-callers, and drive cross-functional initiatives to enhance reliability and operational excellence across Datadog.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Own and improve the on-call experience by establishing best practices and building platforms to support on-call rotations and compensation.
  • •Define incident response, lead design and implementation of software to streamline incident handling, and collaborate with product teams to improve incident response across Datadog.
  • •Contribute to post-mortems by collaborating on writing them and identifying opportunities to reduce friction and enhance learning value; run a weekly postmortem reading group.
  • •Support incident reviews that emphasize learning and blamelessness, and help teams share learnings to improve organizational resilience.
  • •Provide technical leadership and day-to-day coaching, train on-callers on incident/post-mortem processes, and lead cross-functional initiatives to improve reliability and operational excellence.

Pay and Benefits

Perks:Equity

Key Requirements

  • •At least 5 years building software that solves real user problems, including designing new features and collaborating on code and technical design reviews.
  • •Experience building or operating distributed systems with familiarity with Kubernetes and an understanding of complex failure modes.
  • •Ability to independently own ambiguous technical problems from design through delivery while balancing engineering quality with pragmatic execution.
  • •Experience analyzing incidents, identifying systemic risks, and driving engineering improvements based on operational learnings.
  • •Experience participating in on-call rotations and improving incident response processes (incident commander/coordinator experience is a plus).
Experience:5+ years
Skills:Technical leadershipCoachingCollaborationCommunicationMentorship
Languages:English
Tech Stack:GoPythonTypeScriptKubernetes

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn