Staff SRE, Ads

What you’ll do

• Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.
• Partner with engineering leadership to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization.
• Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems.
• Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.
• Participate in on-call rotations, lead complex incident investigations and coordinate cross-functional response efforts during major production events.
• Identify systemic reliability risks and drive long-term solutions that improve platform resilience.
• Establish reliability metrics around advertiser-critical user journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing.
• Mentor engineers and provide technical leadership across multiple teams.
• Influence roadmap planning and ensure reliability considerations are incorporated into product and infrastructure investments.

What We’re Looking For

• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems.
• Strong experience supporting high traffic, user facing production environments.
• Deep understanding of distributed systems, networking, Linux systems, cloud native architectures.
• Experience designing highly available systems with strong operational and reliability practices.
• Strong understanding of observability systems including metrics, logging, tracing, and alerting.
• Good programming skills in languages such as Go, Python, or similar.
• Experience improving reliability through SLOs, automation, incident management, and performance optimization.
• Demonstrated ability to troubleshoot complex issues across a modern distributed system stack.
• Strong collaboration and communication skills with the ability to influence technical direction across teams.

Nice to Have

• Experience supporting advertising technology platforms or other large-scale revenue-critical systems.
• Deep understanding of reliability challenges associated with ad-serving, real-time auctions, budget pacing, campaign delivery, measurement, attribution, or billing systems.
• Experience operating high-QPS, low-latency services where latency directly impacts business outcomes.
• Experience establishing reliability programs that deliver meaningful, measurable business outcomes
• Experience with Kubernetes, cloud infrastructure, and large-scale distributed systems.
• Familiarity with Kafka, ClickHouse, Spark, Flink, BigQuery, or similar large-scale data platforms.
• Experience partnering with Product, Data Science, and Ads Engineering organizations.
• Experience supporting machine learning inference or recommendation systems at scale.