Site Reliability Engineer 5, Ads SRE
NetflixUSA - RemotePosted 11 March 2026
Job Description
At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Our Team
The Ads Reliability Engineering (SRE) team is on the front lines, ensuring the foundational stability for our rapidly expanding Ads business. We are looking for highly motivated engineers to safeguard the reliability, resilience, and scalability of the critical systems powering the
Netflix Ad Suite .
Our team values proactive engineering, automating away toil, and learning from incidents to build stronger and more resilient Ads Systems. Your work here will directly impact revenue, member experience, and advertiser trust. Our Ads Reliability Engineers enjoy solving challenging business problems through technology. We’re looking for individuals with a keen eye for dissecting how complex distributed systems fail, and the skills to help teams balance building the right level of reliability while unblocking rapid feature development.
Your Role as an Ads Reliability Engineer
As an Ads Reliability Engineer, you will help guide the reliability of the Netflix Ad Suite. You will be responsible for ensuring we build resilient systems proactively, respond to issues with precision and calm, and evolve our culture and technology to prevent future failures and unlock engineering velocity.
Responsibilities Include:
Design, implement, and maintain scalable and reliable infrastructure to support Netflix Ads Suite.
Collaborate with engineering and product teams to integrate observability, reliability, and security considerations into the entire software development lifecycle.
Coordinate capacity planning as we scale up Dynamic Ad Insertion for global-scale Netflix Live streaming.
Develop and implement automation tools for monitoring, deployment, and incident response to ensure efficient and reliable operations.
Participate in on-call rotations to ensure the 24/7 health of the Netflix Ad Suite and contribute to incident response, diagnosis, and resolution
Implement and maintain a robust incident response framework, including blame-aware incident reviews to learn from operational surprises.
Proactively identify sources of instability in distributed systems and analyze how complex systems fail from a reliability and resilience perspective.
Champion and embed a culture of reliability across the Ads organization. You will act as a force multiplier, scaling your technical expertise by creating clear documentation, developing best-practice guides, and building tooling to automatically roll out reliability enhancements.
10-15% Travel Expectation
What We're Looking For
You may be a good fit if you:
5 years of experience as a Site Reliability Engineer (SRE), Production Engineer, or similar role supporting business-critical, high-traffic services.
Write code to solve problems. You are proficient in one or more languages like Python, Go, or Java and believe in automating solutions over manual effort.
Are fluent in modern cloud infrastructure. You have hands-on experience with cloud providers such as AWS/Azure/GCP, Infrastructure as Code such as Terraform, and container orchestration systems like Kubernetes.
Understand large-scale distributed systems, their common failure modes and edge cases.
Thrive on collaboration and influence. You have excellent communication skills and a proven ability to build relationships with and educate engineering partners.
Are a natural troubleshooter. You can calmly navigate complex production issues, identify root causes, and implement effective, lasting solutions.
Possess a growth mindset. You are relentlessly curious, committed to continuous improvement, and passionate about scaling your expertise.
Strong candidates may ... (truncated, view full listing at source)
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