Staff Site Reliability Engineer (Ads)

Reddit's Ads organization as a Staff Site Reliability Engineer. In this role, you will lead reliability initiatives across multiple Ads domains, partner with engineering leadership to develop a roadmap for improvement, design and build platforms and tooling, drive architecture reviews, participate in on-call rotations, identify systemic reliability risks, establish reliability metrics, mentor engineers, and influence roadmap planning. You will have the opportunity to shape the future of Ads infrastructure at Reddit and make a meaningful impact on advertiser success, revenue generation, and user experience.

Responsibilities

• Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.
• Partner with engineering leadership to develop a roadmap to improve reliability, scalability, operational excellence, and engineering efficiency across the Ads organization.
• Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.
• Experience improving reliability through SLOs, automation, incident management, and performance optimization

Requirements

• Strong collaboration and communication skills with the ability to influence technical direction across teams
• Strong software engineering skills in languages like general-purpose backend languages like Go
• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large scale distributed systems
• Experience designing highly-available systems with strong operational and reliability practices
• Strong experience evolving high traffic, user-facing production environments
• Deep expertise in modern distributed systems, scale engineering, and cloud-native architectures
• Strong understanding of observability systems including metrics, logging, tracing, and alerting
• Demonstrated ability to troubleshoot complex issues across a modern distributed system stack
• Strong cross-functional collaborations skills to lead and influence projects driving operational excellence
• 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 establishing reliability programs that deliver meaningful, measurable business outcomes
• Experience operating high-QPS, low-latency services where latency directly impacts business outcomes

Preferred

• Experience with Kubernetes, cloud infrastructure, and large-scale distributed systems
• Familiarity with Kafka, ClickHouse, Spark, Flink, BigQuery, or similar large-scale data platforms

Pay

USD 217,000 - 303,900

• Experience partnering with Product, Data Science, and Ads Engineering organizations
• Experience supporting machine learning inference or recommendation systems at scale