Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
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 EngineerAs 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 ForYou 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/Google Cloud Platform, 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 also bring:
- Direct experience with Ad tech platforms, real-time bidding (RTB), DSPs, SSPs
- Direct experience with Dynamic Ad Insertion for Live Events
- Direct experience with systems that experience high-scale load spikes
- Experience with large-scale data pipelines or analytics platforms.
- A track record of contributing to open-source projects in the reliability space.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix has a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.
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