Staff Site Reliability Engineer, Ads

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

This role is remote friendly. Reddit has a flexible first workforce

The Ads organization powers Reddit's advertising platform, enabling advertisers to reach highly engaged communities while helping Reddit grow its business. The reliability of our Ads systems directly impacts advertiser success, revenue generation, and user experience.

The Ads Reliability team partners closely with Ads Engineering teams to improve reliability, scalability, operational excellence, and developer productivity across Reddit's advertising ecosystem.

We're looking for a Staff Site Reliability Engineer who will define and provide technical leadership for reliability initiatives across the Ads organization and help shape the future of Ads infrastructure at Reddit.

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 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.
• Drive architecture reviews and influence technical decisions impacting critical revenue-generating systems.
• 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 evolving high traffic, user-facing production environments.
• Strong cross-functional collaborations skills to lead and influence projects driving operational excellence.
• Deep expertise in modern distributed systems, scale engineering, and cloud-native architectures.
• Experience designing highly-available systems with strong operational and reliability practices.
• Strong software engineering skills in languages like general-purpose backend languages like Go.
• Strong understanding of observability systems including metrics, logging, tracing, and alerting.
• 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.

Benefits:

• Comprehensive Health benefits
• 401k Matching 
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off
• 4+ months paid Parental Leave  
• Paid Volunteer time off

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$217,000—$303,900 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.