The opportunity
The Incident Insights & Readiness SRE team at Datadog fosters a resilient culture by using incidents as learning opportunities and catalysts for growth. Our users are Datadog engineers, and we build the software, tooling, and operational frameworks that help them prepare for, respond to, and learn from incidents.
What you'll do
Own and improve the on-call experience for the company by establishing best: practices and building platforms to support on-call rotations and compensation.
Define how we respond to incidents, lead the design and implementation of: software to streamline the process, and collaborate with product teams to improve incident response across Datadog. Our aim is to fully support our incident responders in dealing with complexity.
Contribute to the post-mortem process for the company, collaborating with: teams on writing them, and identifying opportunities to reduce friction and enhance learning value for the organization. Our team also runs a weekly postmortem reading group.
Support various teams in facilitating incident reviews that emphasize: learning and blamelessness. Help them share their learnings across the organization to improve the resilience of our people.
Provide technical leadership and day-to-day coaching to team members,: accelerating their growth through design reviews, collaborative problem-solving and operational excellence best practices.
Train our on-callers in incident and post-mortem processes, sharing expertise: in incident management best practices. This involves both introducing newcomers to on-call responsibilities and refreshing the knowledge of existing engineers.
What they're looking for
- Lead cross-functional initiatives in engineering organizations across: Datadog, embedding with teams to understand their challenges and drive lasting improvements to reliability and operational excellence.
- At least 5 years of experience building software that solves real user: problems. Experience designing new features and collaborating on code and technical design reviews. We primarily develop in Go and Python, with a bit of TypeScript.
- Experience building or operating distributed systems, with familiarity with: Kubernetes and an understanding of complex failure modes.
- Demonstrated ability to independently own ambiguous technical problems from: design through delivery while balancing long-term engineering quality with pragmatic execution.
