Senior SRE Engineer Contractor

• →Own and evolve observability strategy across our platform in Datadog: dashboards, monitors, APM, log pipelines, and meaningful, low-noise alerting tied to user impact.
• →Define, track, and drive SLIs, SLOs, and error budgets for critical services, and use them to lead reliability and prioritization conversations with service owners and leadership.
• →Act as primary SRE Partner on major incidents: lead war rooms, triage, classify priority (P1-P6), validate hypotheses, drive resolution, and keep clear real-time documentation throughout.
• →Drive incident response per our framework, meeting target response times (P1 within ~15 minutes), creating and running war rooms when severity requires, and maintaining structured communications across incident Slack channels.
• →Lead and own blameless post-incident reviews (RCAs) end to end, identifying root causes, systemic fixes, and action items that prevent recurrence.
• →Set the automation roadmap: architect scripts, tooling, and self-healing / automated remediation to reduce manual operational work and speed up recovery across the team.
• →Leverage and champion AI tools (e.g., Claude, Cursor) to accelerate debugging, generate and maintain runbooks, draft RCAs, and build automation, helping the broader team do the same.
• →Set reliability strategy for our cloud and third-party stack (e.g., AWS, Netlify, CommerceTools, Auth0, Contentful), including capacity, performance, and dependency-failure readiness.
• →Lead contributions to CI/CD reliability, deployment safety, code-freeze readiness around peak commerce events, and infrastructure-as-code practices.
• →Own and evolve SRE runbooks, triage workflows, and the incident priority framework so the whole org responds consistently.
• →Mentor mid-level SREs, drive a culture of blameless learning, and embed reliability earlier in the development lifecycle.
• →Partner with Engineering and Product leadership to influence architecture and design decisions that improve reliability at the source.

• A great attitude, strong ownership, and a genuine eagerness to drive change, mentor others, and raise the bar.
• Deep hunger for automation: you instinctively look for systemic ways to remove toil and build tooling that scales the whole team.
• Strong comfort with AI tools and a desire to push how they can be applied to reliability work, and to help the team do the same.
• Significant hands-on experience with observability and monitoring tooling, ideally Datadog (dashboards, monitors, APM, logs); deep experience with other platforms also translates well.
• Extensive experience in on-call and incident response, including leading war rooms, driving prioritization, managing escalation, and owning post-incident reviews end to end.
• Deep mastery of SRE fundamentals: SLIs / SLOs / error budgets, reducing toil, and driving reliability strategy across a platform.
• Strong knowledge of cloud infrastructure (AWS preferred) and modern distributed / microservice and API-gateway architectures.
• Strong scripting and automation skills (e.g., Python, Bash, or similar); ability to reason about and improve code across services.
• Solid experience with CI/CD pipelines and infrastructure-as-code (e.g., Terraform).
• Excellent communication: able to run an incident channel, brief leadership during a major outage, and write a polished, actionable RCA.
• Collaborative leader who works effectively across a distributed, multi-time-zone team and influences without authority.

• Experience operating high-traffic consumer or e-commerce platforms, especially through peak events (flash sales, product drops).
• Experience with Opsgenie (or PagerDuty / similar) for alerting and escalation.
• Experience with e-commerce / subscription platforms such as CommerceTools, and identity providers such as Auth0.
• Experience building automated remediation, chaos / resilience testing, or self-healing systems.
• Experience with product analytics and monitoring (e.g., Amplitude) to connect reliability to user behavior.
• Experience defining or maturing an incident management framework and driving a blameless post-mortem culture.

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