3 hours ago
Base Salary
$217k - $304k/yr
Responsibilities
- Lead reliability initiatives across multiple Ads domains, including ad serving, auctions, targeting, reporting, measurement, and billing.
- Develop a reliability roadmap with engineering leadership covering scalability, operational excellence, and engineering efficiency.
- Design and build platforms, tooling, and automation that improve reliability and developer productivity at scale.
- Drive architecture reviews and influence technical decisions for critical revenue-generating systems.
- Participate in on-call rotations, lead complex incident investigations, and coordinate cross-functional responses to major production events.
- Identify systemic reliability risks and implement long-term solutions that improve platform resilience.
- Establish reliability metrics for advertiser-critical journeys such as campaign creation, ad delivery, auction participation, reporting, attribution, and billing.
- Mentor engineers and provide technical leadership 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.
- Strong understanding of observability systems, including metrics, logging, tracing, and alerting.
- Experience improving reliability through SLOs, automation, incident management, and performance optimization.
- Ability to troubleshoot complex issues across modern distributed system stacks and influence technical direction across teams.
- Preferred experience supporting advertising technology or other revenue-critical platforms.
- Preferred experience with high-QPS, low-latency services; reliability programs; Kubernetes; cloud infrastructure; Kafka; ClickHouse; Spark; Flink; BigQuery; or similar data platforms.
- Preferred experience supporting machine learning inference or recommendation systems at scale and partnering with Product, Data Science, and Ads Engineering teams.
Benefits
- Remote-friendly, flexible-first workforce.
- Comprehensive health benefits, including medical, dental, and vision coverage for U.S.-based employees.
- 401(k) program with employer matching.
- Workspace benefits for a home office.
- Personal and professional development funds.
- Family planning support.
- Flexible vacation and Reddit Global Days Off.
- 4+ months of paid parental leave.
- Paid volunteer time off.
Tech Stack
Categories
Site Reliability
About Reddit
Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. Share, vote, and decide what matters in everything from breaking news, to fandoms, lifehacks, gaming, sports, health, and the internet’s cutest animals. With over 100,000 subreddit communities about every topic you could think of (and thousands more you couldn’t), whatever it is, there’s a place for you on Reddit. Interested in joining our growing team? Check out redditinc.com/careers.