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.About the roleAs a Compute Cloud Platform SRE, you will ensure the reliability, scalability, and operational excellence of Netflix’s compute platforms, including EC2, Titus (our Kubernetes based container platform), managed batch, and function abstractions by building automation and tooling, driving observability and monitoring, and partnering closely with engineering teams across runtime, abstractions, and capacity to reduce toil and complexity for customers. You’ll play a key role in modernizing our stack toward industry-standard technologies, improving launch latency and efficiency, participating in on-call rotations and incident response, and collaborating cross-functionally to deliver integrated and consistent cloud compute experiences at scale.Responsibilities Design, implement, and enhance monitoring, alerting, and observability for compute services and abstractions.Partner with Engineering team to modernize and migrate to industry-standard container, orchestration, and capacity technologies.Collaborate on the design and rollout of new managed abstractions (e.g., intent-based APIs, managed scaling, centralized capacity).Lead and participate in post-incident reviews, driving actionable improvements to system reliability.Develop tools and dashboards to provide visibility into utilization, efficiency, and cost for compute resources.Qualifications5+ years of experience operating and scaling large-scale, high-performance cloud infrastructure or distributed systems.Deep knowledge in Kubernetes, container runtimes (containerd, Docker), and related cloud native ecosystem tools.Deep expertise in Linux/Unix systems, networking fundamentals, and cloud platforms (AWS strongly preferred).Proficient in at least one programming language (Go, Python, Rust, Java etc).Familiarity with auto scaling, fleet management, and capacity planning at scale.Familiarity with open source observability and telemetry tooling for logs, metrics, and traces, including Prometheus and OpenTelemetry.[Preferred] Experience with cost optimization, utilization analytics, and/or cloud efficiency initiatives.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 $170,000 - $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.Netflix is 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.
Locations
USA (Remote)
Salary
170,000 - 720,000 USD / yearly
Estimated Salary Rangehigh confidence
300,000 - 500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
operating and scaling large-scale, high-performance cloud infrastructure or distributed systemsintermediate
knowledge in Kubernetesintermediate
knowledge in container runtimes (containerd, Docker)intermediate
knowledge in related cloud native ecosystem toolsintermediate
expertise in Linux/Unix systemsintermediate
expertise in networking fundamentalsintermediate
expertise in cloud platforms (AWS strongly preferred)intermediate
proficient in at least one programming language (Go, Python, Rust, Java etc)intermediate
familiarity with auto scalingintermediate
familiarity with fleet managementintermediate
familiarity with capacity planning at scaleintermediate
familiarity with open source observability and telemetry tooling for logs, metrics, and traces, including Prometheus and OpenTelemetryintermediate
Required Qualifications
5+ years of experience operating and scaling large-scale, high-performance cloud infrastructure or distributed systems. (experience, 5 years)
Deep knowledge in Kubernetes, container runtimes (containerd, Docker), and related cloud native ecosystem tools. (experience)
Deep expertise in Linux/Unix systems, networking fundamentals, and cloud platforms (AWS strongly preferred). (experience)
Proficient in at least one programming language (Go, Python, Rust, Java etc). (experience)
Familiarity with auto scaling, fleet management, and capacity planning at scale. (experience)
Familiarity with open source observability and telemetry tooling for logs, metrics, and traces, including Prometheus and OpenTelemetry. (experience)
Design, implement, and enhance monitoring, alerting, and observability for compute services and abstractions.
Partner with Engineering team to modernize and migrate to industry-standard container, orchestration, and capacity technologies.
Collaborate on the design and rollout of new managed abstractions (e.g., intent-based APIs, managed scaling, centralized capacity).
Lead and participate in post-incident reviews, driving actionable improvements to system reliability.
Develop tools and dashboards to provide visibility into utilization, efficiency, and cost for compute resources.
Benefits
general: Health Plans
general: Mental Health support
general: a 401(k) Retirement Plan with employer match
general: Stock Option Program
general: Disability Programs
general: Health Savings and Flexible Spending Accounts
general: Family-forming benefits
general: Life and Serious Injury Benefits
general: paid leave of absence programs
general: Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
general: Full-time salaried employees are immediately entitled to flexible time off.
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