• Partner with Ads Engineering teams to improve reliability, scalability, and operational excellence of ad-serving, auction, targeting, measurement, and billing systems. • Design, build, and maintain infrastructure, tooling, and automation that improve service reliability and engineering productivity. • Improve observability through monitoring, alerting, tracing, logging, and dashboards. • Participate in on-call rotations and lead incident response efforts for critical production systems. • Run root cause analysis and drive corrective actions following incidents. • Collaborate with software engineers throughout the service lifecycle, from design reviews through production operations. • Drive adoption of SRE best practices including SLIs, SLOs, error budgets, capacity planning, and operational readiness reviews. • Reduce operational toil through automation and self-service tooling. • Help define and measure advertiser-critical user journeys such as campaign creation, ad delivery, reporting, and billing. • Scale Ads systems to support continued traffic growth, increased advertiser demand, and evolving business requirements.

• Partner with Ads Engineering teams to improve reliability, scalability, and operational excellence of ad-serving, auction, targeting, measurement, and billing systems. • Design, build, and maintain infrastructure, tooling, and automation that improve service reliability and engineering productivity. • Improve observability through monitoring, alerting, tracing, logging, and dashboards. • Participate in on-call rotations and lead incident response efforts for critical production systems. • Run root cause analysis and drive corrective actions following incidents. • Collaborate with software engineers throughout the service lifecycle, from design reviews through production operations. • Drive adoption of SRE best practices including SLIs, SLOs, error budgets, capacity planning, and operational readiness reviews. • Reduce operational toil through automation and self-service tooling. • Help define and measure advertiser-critical user journeys such as campaign creation, ad delivery, reporting, and billing. • Scale Ads systems to support continued traffic growth, increased advertiser demand, and evolving business requirements.

• Partner with Ads Engineering teams to improve reliability, scalability, and operational excellence of ad-serving, auction, targeting, measurement, and billing systems. • Design, build, and maintain infrastructure, tooling, and automation that improve service reliability and engineering productivity. • Improve observability through monitoring, alerting, tracing, logging, and dashboards. • Participate in on-call rotations and lead incident response efforts for critical production systems. • Run root cause analysis and drive corrective actions following incidents. • Collaborate with software engineers throughout the service lifecycle, from design reviews through production operations. • Drive adoption of SRE best practices including SLIs, SLOs, error budgets, capacity planning, and operational readiness reviews. • Reduce operational toil through automation and self-service tooling. • Help define and measure advertiser-critical user journeys such as campaign creation, ad delivery, reporting, and billing. • Scale Ads systems to support continued traffic growth, increased advertiser demand, and evolving business requirements.

• We're hiring a dedicated SRE to take real ownership of operational excellence across Cloud Infrastructure. • Your mission is to take genuine ownership of those domains, make them resilient to any single person, and raise the bar on how reliably we run. • You'll own domains end to end: understand them deeply, operate them well, and build the automation and tooling that make them boring. • take custody of the incident process: on-call quality, response, post-mortems, and driving down incident count, time-to-detect, and time-to-resolve. • automate low-frequency, high-consequence operations (the certificate-renewal class of problem), not just the high-frequency toil. • over time, deep ownership of a domain such as Temporal, observability, or Kubernetes operations, partnering with the engineers building in it. • own key external relationships and integrations (e.g. LLM API providers, third-party services), today managed manually and informally. • own cloud and platform cost visibility and efficiency, and the mechanics of how usage maps to billing.