Staff Site Reliability Engineer, Ads

Location: San Francisco, CA; remote-friendly workforce

Salary: $217,000–$303,900 USD per year, plus potential equity and commission depending on the position offered.

Company

Reddit operates a large community platform and an advertising organization serving highly engaged online communities.

What you will do

• Lead reliability initiatives across ad serving, auctions, targeting, reporting, measurement, and billing.
• Define a reliability roadmap with engineering leadership covering scalability, operational excellence, and developer productivity.
• Design and build platforms, tooling, and automation for reliable operation at scale.
• Lead architecture reviews and influence technical decisions for critical revenue-generating systems.
• Participate in on-call rotations, investigate complex incidents, and coordinate cross-functional responses to major production events.
• Establish reliability metrics and mentor engineers across multiple teams.

Requirements

• 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating large-scale distributed systems.
• Experience evolving high-traffic, user-facing production environments and designing highly available systems.
• Deep expertise in distributed systems, scale engineering, and cloud-native architectures.
• Strong software engineering skills in general-purpose backend languages such as Go.
• Understanding of observability systems, including metrics, logging, tracing, and alerting.
• Experience with SLOs, automation, incident management, performance optimization, and troubleshooting across modern distributed system stacks.

Nice to have

• Experience supporting advertising technology or other large-scale revenue-critical systems.
• Experience with ad serving, real-time auctions, budget pacing, campaign delivery, measurement, attribution, or billing systems.
• Experience operating high-QPS, low-latency services and reliability programs with measurable business outcomes.
• Experience with Kubernetes, cloud infrastructure, Kafka, ClickHouse, Spark, Flink, BigQuery, or similar platforms.
• Experience supporting machine learning inference or recommendation systems at scale.

Culture & Benefits

• Remote-friendly and flexible-first workforce.
• Health benefits and 401(k) matching for U.S.-based employees.
• Home-office workspace benefits and personal and professional development funds.
• Flexible vacation, Reddit Global Days Off, and paid volunteer time off.
• Family planning support and 4+ months of paid parental leave.

Hiring process

• Interviews may be recorded, transcribed, and summarized by AI for select roles; opting out is available before scheduled interviews.