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.

At Netflix, we want to entertain the world and are constantly innovating on how entertainment is imagined, created, and delivered to a global audience. Engineering teams within Netflix work hard every day to scale and innovate content production and member experiences in an ever-growing complex software landscape. 

Our Content & Business Products (CBP) Engineering teams build the products and services to optimize and automate the content creation process including content planning, financing, production, promotion, and distribution. We support Netflix's enterprise needs including Finance, Talent, Tech Support, and Customer Support to ensure smooth operations. Our products enable the entire workflow of content production, from pitch to play, and provide innovative new ways to develop and manage entertainment at scale. The team’s work is critical to supporting the creation of movies and TV series that will thrill the world!

There are two CBP teams hiring for this position:

Localization Technology

Localization Tech team focuses on expanding the reach to global audience by localizing Netflix’s content, aspects of member interactions. This includes products for authoring dubbing and subtitles (and similar use cases such as  closed captions etc), managing logistics across all the workflows and localizing the metadata for content.  The team is responsible for building, operating and maintaining tools that allow linguists to author assets that assist with localization workflows. A big part of our roadmap ahead aims to innovate on improving accessibility to our content by leveraging AI and experimentation.

Content Middleware Infrastructure (MWI)

The Content Middleware Infrastructure team, a part of the Content Infrastructure & Solutions group, provides Studio and Content Engineering specific, highly leveraged, and fully managed data, workflow, and messaging & communication platforms facilitating the goal of the Connected Studio. The team consists of three subteams that work independently: MWI Workflow, MWI Data, and MWI Messaging.

Qualifications

• You have experience crafting resilient, high-scale, low-latency microservices in production environments.
• Proficient with gRPC, GraphQL, or RESTful API design and implementation using OO programming languages like Java, C#.
• Are adept at building enterprise applications with HTML/JavaScript/TypeScript/CSS. We currently build our user experiences with React, GraphQL, and several more libraries and frameworks depending on the product.
• Work cross-functionally to build, test, deploy, and launch UIs that operationalize our workflows at scale
• You have a proven track record of resilient data modeling through understanding and translating business requirements to technical requirements and identifying entities and their relationships that will serve the business process needs.
• You participate in our on-call rotation and lead the incident reviews.

What Sets You Apart

• You are a resourceful full-stack engineer who can independently identify the root cause of issues and implement dependable, maintainable solutions across the entire stack.
• Maintain strong relationships with cross-functional teams through clear communication.
• Take a thoughtful, practical approach to problem-solving that considers tradeoffs and avoids over-engineering.
• Seek different perspectives, feedback, and relevant information to continuously grow and improve.
• Comfortable asking questions and seeking knowledge in unfamiliar or ambiguous situations.
• You evangelize new ideas and exemplify technical leadership with a bias for action.
• You appreciate the complexity of engaging with a global challenge.

A few more things about us:

As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!

Generally, 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 $250,000.00 - $413,000.00.

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 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.

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.

Everything that we build to delight our members, and all of the work we do to figure out how to do that better, relies on our extensive infrastructure, which spans what we rent from AWS to what we build ourselves (we operate our own custom-built content delivery network, Open Connect). Because this infrastructure is so central to everything we do, we want to ensure we are using it in the most effective and efficient way. Doing that well starts with great visibility into how we are using our infrastructure, and actionable metrics and analytics to help us take action as needed.

As a Senior Data Scientist focused on Infrastructure Experimentation, you will join a data org of Analytics Engineers, Data Engineers, and Data Scientists who partner with our infrastructure engineering teams to measure, model, and surface the infrastructure impact of product experiments. You will work closely with partners in data science, platform engineering, and experimentation platform teams to build and maintain models and experimentation capabilities that predict the cost and performance implications of A/B tests, enabling experiment owners to make more holistic decisions that balance member impact with infrastructure performance.

The ideal candidate will excel in experimentation design and evaluation, causal inference, and applied machine learning, with a passion for applying these skills within the infrastructure domain.

To learn more about our team, read here. To learn more about the work in this role, see our recent presentation at AWS Re:invent.

In this role, you will:

● Build and maintain machine learning models that predict the infrastructure cost impact of A/B experiments, translating experimentally observed signals (e.g., request volume changes) into business and system metrics (e.g. projected annualized costs)
● Drive adoption of infrastructure metrics within the experimentation community through analysis, consultation with experiment owners, documentation, and training
● Partner with platform teams (Observability, Experimentation Platform) to improve the quality and coverage of infrastructure usage data feeding our models

● Extend our measurement framework to new metrics (e.g., latency) and new experiment types (e.g., infrastructure canary tests)
● Champion an infrastructure lens within the broader experimentation community,
helping shift culture toward reasoning about the full ROI and infrastructure impact of experiments
● Connect with the larger analytics and experimentation communities at Netflix to bring visibility to our work and learn from others

You are:

● Experienced in experimentation methodology and causal inference, with a strong foundation in A/B testing, treatment effect estimation, and statistical significance
● Experienced in building and maintaining machine learning models in production,
including the full lifecycle of training, evaluation, monitoring, and continuous
improvement
● Fluent in Python and SQL, with experience engineering data pipelines and working with large-scale data systems
● A strong collaborator who thrives in horizontal roles with broad stakeholder surfaces, comfortable influencing decisions through data and analysis rather than direct authority
● An exceptional communicator who can flex between technical and non-technical
audiences, translating statistical concepts for software engineers and business leaders alike
● Comfortable with messy, incomplete data environments and able to balance short term execution with a drive to improve data quality over time
● A strong product thinker who views data science outputs as products, taking an
end-to-end ownership mindset from data quality through to user adoption
● Comfortable with ambiguity, and thrive with minimal oversight and process
● Curious about infrastructure systems; prior experience in the infrastructure domain is a strong plus but not required; the ability and motivation to learn is essential

Generally, 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 $372,000.00 - $600,000.00. This compensation range will vary based on location.

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 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.

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.

About the Role

You will be a vital member of our Live Broadcast Engineering team, responsible for providing specialized support across Netflix’s owned infrastructure, specifically the Live Ingest Points of Presence (LiPoP) and Broadcast Operations Center (BOC). This is a critical role to ensure the reliability of our live resources for an expanding slate of live events; you will provide engineering support for recurring series and standalone events based on a variable schedule, ensuring the health and operation of our proprietary LiPoP backend.

Responsibilities

You will focus heavily on internal infrastructure support, real-time response, and facility readiness:

• Act as Tier 1 support for live event technical issues, including day-of-show and test-day operations at LiPoP and BOC facilities.

• Provide frontline support for key LiPoP infrastructure and broadcast equipment, including:

• Video routers and routing systems (including 2110-based routing)

• Audio mixers
• Contribution and distribution encoders
• Up/down/cross converters
• Support intercom systems, including configuration and allocation of intercom resources based on daily event needs.
• Assist with orchestration validations for daily events to confirm signal paths and system readiness prior to going live.
• Provide real-time troubleshooting, triage, and technical decision-making in coordination with the broader Live Streaming Technology and Broadcast Operations teams.
• Support both cloud-based and hardware-based video infrastructure, including analysis, fault isolation, and remediation of issues across the end-to-end video workflow.
• Develop, update, and maintain live system documentation, operational runbooks, and standard operating procedures for use by operations teams.
• Oversee control room setups for daily shows, ensuring all critical systems are online, correctly configured, and monitored.
• Maintain and support the physical facility and technical spaces associated with LiPoP and BOC operations.
• Assist in managing and assigning technical resources for daily shows as needed, helping to balance capacity across multiple events.
• Perform operational maintenance (e.g., intercom and router panels, multiviewers, video monitors, and associated broadcast infrastructure) during off-hours or planned maintenance windows.
• Troubleshoot Tier 1 network issues within the BOC and LiPoP environments, escalating to network engineering as appropriate.
• Serve as “smart hands” for network and infrastructure-related work, including racking/stacking gear, patching, basic hardware checks, and assisting remote engineers with on-site tasks.

Qualifications

• 5+ years of broadcast support experience (preferably as an EIC at the network level).
• Strong understanding of digital audio/video fundamentals, compression technologies, distribution formats, and knowledge of remote production facilities and equipment vendors.
• Prior experience in a Broadcast Operations Center (BOC), Master Control, live events facility, or similar environment.
• Experience working with orchestration systems for signal routing and validation in live workflows.
• Familiarity with IP-based media transport (e.g., SMPTE 2110, 2022-6, NDI, SRT, RIST, Zixi, etc.).
• Experience supporting large-scale live streaming or OTT platforms.
• Background in facility maintenance for broadcast environments, including monitoring system health and coordinating repairs.
• Experience with monitoring and alerting tools for video, audio, and network systems.
• Strong communication and collaboration skills, able to work closely with operations, engineering, and live streaming teams.
• Willingness to work non-standard hours, including evenings, weekends, holidays, and off-hours maintenance windows, aligned with live event schedules.
• Close attention to detail and reliability, particularly when managing concurrent events and critical infrastructure.

Nice to have

• Experience with at least one programming language (Java, Go, Python).
• Experience in Unix (or Unix-based systems), shell scripting, and good SQL knowledge.
• Experience with web technologies and distributed systems with microservices architecture.
• Experience managing cloud infrastructure, preferably in AWS.
• Degree in Broadcast Engineering, Electrical Engineering, Media Technology, Computer Science, or related field.

Generally, 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 $220,000.00 - $340,000.00.

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 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.

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.

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.

About the team:

Netflix isn’t just a product; it’s a global entertainment engine. We create our own shows and films, license stories from around the world, and invest billions in content every year. Behind all of that is a sophisticated financial ecosystem: FP&A, content planning, production finance, and more. These teams rely on timely, trustworthy data to decide what we make, where we invest, and how we shape the future of Netflix. That’s where this team and this role come in.

We’re looking for a Senior (L5) Data Engineer to join the Content Finance DSE team. In this role, you will design, build, and own scalable, resilient data pipelines and data products that power the core of Content Finance planning and systems. The data you create will be used every day in planning cycles to answer questions such as: 

• How should we allocate and adjust content budgets for upcoming forecasting seasons?
• What signals can inform our long‑term content investment strategy?
• How do we ensure our financial results are finalized quickly, accurately, and with confidence?

Your work will be directly consumed by FP&A, planning, and content accounting teams, spanning Netflix Finance teams from content planning and forecasting to production finance. You will also help define what modern data engineering looks like in this space: shaping your own role, establishing strong data foundations, data modeling, and influencing how we leverage GenAI in the data engineering ecosystem. The systems and products you build will shape how Netflix decides what to fund, where to take risks, and how we grow our content business globally.

Location: Los Gatos, CA preferred, but open to Remote

Who are you?

• You write clean, elegant, maintainable code and are comfortable quickly learning new technologies independently.
• You are proficient in at least one major programming language (e.g., Java, Scala, Python) and are very comfortable working with SQL.
• You are a strong data modeler who can design clear, scalable, and future-proof data models that serve multiple use cases across finance and beyond.
• You think broadly about systems: you understand the complexities of integrating with many upstream and downstream systems, and you can reason about data flows, contracts, and trade-offs across those systems.
• You have a strong product mindset: you think beyond pipelines to the end users, the decisions they need to make, and how data products can unlock value.
• You have a strong background in at least one of the following areas: distributed data processing, software engineering of data services, or data modeling and data warehousing.
• You are familiar with big data technologies such as Spark or Flink and are comfortable working with very large, web-scale datasets.
• You have strong data intuition, a keen eye for detail, and a deep passion for data quality, reliability, and correctness, including clear documentation, robust data contracts, and effective debugging practices.
• You are curious and open to leveraging modern and emerging technologies, including GenAI and next‑generation AI tools, where they make sense and create durable value.
• You resonate with the Netflix Culture and enjoy working independently while also collaborating closely, giving and receiving candid, constructive feedback.

Generally, 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 $380,000.00 - $610,000.00. This compensation range will vary based on location.

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 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.

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.

We launched a new ad-supported tier in November 2022 and are building an in-house world-class ad tech ecosystem to offer our members more choices in consuming their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

Our Team

The Ads Engineering team at Netflix is dedicated to creating a world-class advertising ecosystem that drives our advertising business. This team's mission is to develop advanced technology that ensures exceptional experiences for both our members and advertisers. Our responsibilities encompass a broad spectrum of products, ranging from sales and media planning to optimizing advertiser outcomes and execution. This includes inventory and order management, campaign execution, ad serving, audience and identity management, measurement, reporting, and finance.

We use several Netflix investments and innovations - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding, and metadata, etc. We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers. We also ensure that advertiser brand safety is ensured during serving so that members only see the most appropriate ads for them.

Our team is faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate us and become a market leader in record time. Our roles come with expectations of delivering in a rapid clip, comfort with lofty goals and big ambitions, the visibility that comes with strategic initiatives, and responsibility and an appetite to operate like a startup within an established company.

We are looking for engineers to join us on this journey, to be a part of some exciting initiatives, and the talented teams who work on realizing our ambitious vision.

Skills & experience we’re seeking:

• Well grounded domain experience in any of the following areas: Ad Serving, Ads Identity & Audiences, Ads Creatives, Inventory & Forecasting, Campaign Management, Media Planning, Measurement, Reporting, or Ads Finance.
• General understanding of the advertising marketplace and landscape.
• Worked closely with ad operations to enable campaign setup, targeting, reporting and advertiser needs.
• Developed many cloud based applications and comfortable with modern programming languages (preferably object oriented),
• Familiar with A/B testing and experimentation.
• Have solid experience in setting technical directions for engineering projects, making architectural decisions, and influencing partner and cross-functional teams.

Nice to haves:

• Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
• Familiarity with legal compliance and changing landscape of ads regulations around the world.
• Experience working in the CTV space and knowledge of it’s unique constraints

Spotlight on Ads Engineering Teams:

The Ad Supply team manages the policies and technical integrations for third-party ad supply. While Netflix has traditionally licensed content, we're exploring this alternative funding model. The team solves complex challenges, such as determining how both Netflix and the third-party partner can sell ad inventory for the same content without conflict. They establish clear rules for inventory sharing, campaign setup, and system configurations to ensure consistency and fairness.

The Ads Measurement team builds systems that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and both first-party and third-party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers. Our tools empower advertisers to effectively measure and analyze these outcomes.

The Ads Identity and Audience team is dedicated to delivering a relevant and engaging advertising experience while prioritizing consumer privacy. Our mission is to maintain precise subscriber identities to ensure that ads are not only engaging but also respectful of consumer privacy choices and regional regulations. We maintain a high-quality Identity Graph, which is used for various purposes, including respecting privacy choices and regulations, audience onboarding, targeting, measurement, and reporting.

The Ads Creatives & Policy team at Netflix is at the forefront of developing innovative solutions that enhance the ad experience for both viewers and advertisers. We are responsible for managing the lifecycle of ad creatives, ensuring compliance with policies, and leveraging cutting-edge technology to optimize ad delivery. Joining our team means being part of a dynamic environment where your contributions directly impact the viewing experience of millions worldwide.

The Ads Media Planning team is at the heart of designing and delivering state-of-the-art media planning solutions that power Netflix’s advertising business. We are developing innovative, in-house ad tech systems that enable advertisers and internal partners to efficiently plan, allocate, and optimize media investments across Netflix’s platform. Our technology translates advertiser objectives into actionable media plans, ensuring seamless integration, automation, optimization, compliance, and management of media strategies at scale. We work closely with cross-functional teams to deliver robust media planning capabilities that serve our advertisers, members, and Netflix’s broader business goals.

The Live Ads Management team is driving one of Netflix’s most exciting frontiers — bringing advertising to Live Events. We’re building the intelligence that powers ad experiences during some of Netflix’s biggest real-time moments, from live sports to global specials. Our team develops smart, scalable capabilities that help ad operations plan, set up, and deliver ads seamlessly during live broadcasts. We’re pushing the boundaries with automated manifest generation, machine learning–driven optimizations, and agentic workflows that adapt in real-time to maximize both monetization and viewer experience. We work hand in hand with creative, streaming, and ads engineering teams to make advertising on Netflix Live feel effortless — blending storytelling, technology, and real-time decisioning into one unforgettable experience. It’s a fast-moving, high-visibility team shaping how live entertainment and advertising come together on a global stage.

The Ads Platform Foundations team builds the core platforms, frameworks, and shared services that accelerate development across the Ads organization. We focus on enabling teams to move faster and build consistently through scalable UI infrastructure, common components, and foundational workflows. Our work also powers access control across domains and underpins core systems such as Public API, GenAI foundations, and the Ads Entity Service — a knowledge graph connecting all Ads entities. Together, we provide the technical backbone that drives consistency, reliability, and velocity across Ads.

The Ads Campaign Management team is responsible for our in-house Order Management System (OMS) used by our account managers to facilitate the booking and execution of advertising campaigns on behalf of Agencies, Brands, and Advertisers. The team owns key parts of our campaign hierarchy (Orders, Line Items) and closely intersects with almost every other team across Ads Engineering (Creatives, Forecasting, Audiences, Measurement, Ad Serving, etc)  as well as business teams across Account Management and Ad Operations to facilitate the set-up, execution, and monitoring of ads across the Netflix ecosystem. 

The Ads Inventory Management & Forecasting team builds state-of-art real-time inventory forecasting solutions leveraging ML models and high-performance ad server simulations. The team also builds systems that enable publisher inventory management solutions, which support various monetization strategies such as dynamic pricing, rate card management, product packaging, inventory split, and yield optimization.

The Ads Data Clean Room team is redefining how clean rooms are used in digital advertising.  We’re building data collaboration tools as internal services, allowing multiple teams to share data with external partners in a convenient and privacy-safe way.  Our scope extends beyond traditional clean room use cases to include novel integrations where data has traditionally been shared more openly.  As the ads data landscape evolves, our team will continue to lead by creating new ways to enable collaboration while protecting privacy.

The Ads Finance team’s vision is to establish a compliant, accurate, automated, and omni-channel Finance and billing system that streamlines and optimizes financial operations for ads, with a core charter to create a unified and compliant Revenue Recognition layer, Automate billing, Invoicing and Journal processes. The Ads Finance platform centralizes and validates all the raw data—from campaign performance to pricing structures—needed to calculate and bill our diverse advertising revenue streams. This ensures financial integrity and consistency, providing a reliable foundation for all core Ad business operations, including budgeting, predicting future revenue, and managing credit and pricing strategies.

The Ads Eventing team builds and operates the foundational systems that collect, validate, enrich, and deliver ads-related events at a massive scale. These high-throughput data pipelines ingest raw signals from client devices (TV, mobile), server-side ad insertions, and external third-party integrations. The core mission is to transform these raw signals into clean, reliable, and privacy-safe data streams, ensuring data quality and fidelity across the board. This critical infrastructure directly powers all core downstream functions, including real-time ad serving decisions, robust measurement and attribution systems, and financial reconciliation and billing workflows.

The Ads Reporting Infrastructure team is responsible for delivering the final, actionable data to stakeholders. Their focus is on building the systems that consume validated and enriched ads delivery data to power the comprehensive reporting surfaces used by internal teams and advertisers to analyze campaign performance and business outcomes. They ensure the data presented is accurate, timely, and easy to consume, enabling key functions like measurement and attribution analysis, financial reconciliation, and strategic decision-making based on business results.

The Ads CRM team delivers the AI-powered Go-to-Market platform, the strategic engine for Netflix Ads sales and marketing. We don't just collect customer data; we create a unified, enriched view of our customers and their ad spend across every source, managing the entire lifecycle for impeccable quality and completeness. Our intuitive UI and intelligent automation agents surface critical, actionable insights, empowering our sales teams to cut through the noise, focus on high-value client engagements, and accelerate the success of Netflix Ads.

Generally, 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 $388,000.00 - $558,000.00.

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 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.

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.

*The Team*

The Security and Privacy Technical Program Management team is a force multiplier; we partner closely with engineering and product teams across Netflix to deliver results. We collaborate cross functionally to align on strategic goals and vision, and then we work with the right stakeholders to establish and drive impactful initiatives.

*The Role*

We are looking for a Technical Program Manager to join our Data Protection program! In this role you will partner closely with the Privacy and Data Protection Engineering team to reduce data risks, ensure regulatory compliance and foster a responsible data culture across Netflix. 

This role is a unique opportunity to build on your prior expertise in privacy and data protection. You will work with an established team of privacy and security engineers to identify, develop and drive the development and adoption of various data management capabilities across multiple data platforms, which will be used by product and central engineering organizations. In this role you will navigate through complex technical and operational challenges in capability development and adoption across areas such as data inventory and classification, access control, retention, encryption, de-identification and many more.

The ideal candidate is skilled at both program strategy and execution supported by a strong  technical domain expertise in privacy and data protection. You might come from a software or data engineering background, or otherwise have deep technical expertise on data management systems and solutions at scale. In this role you will have the freedom to innovate, solve challenging problems with a great team of domain experts and impact the business in a meaningful way. If you're up for the challenge, we'd love to hear from you!

Desired Background:

• You’re passionate about privacy and data protection!
• You’re familiar with technical Data Protection or Governance programs, all the way from policy creation to control implementation and user support.
• You’re able to identify gaps in solutions and debate technical approaches for data inventory and classification, access control, data retention and various Privacy Enhancing Technologies.
• You have experience driving large-scale technical initiatives on shared infrastructure platforms and managing the definition of technical strategies.
• You have excellent written and verbal communication skills, including clear articulation of business impact and technical constraints tailored to the audience.
• You are able to triage multiple initiatives to make a judgment to tackle the right problems at the right time.
• You’re comfortable operating in ambiguous and fast-paced environments.

Generally, 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 $420,000.00 - $630,000.00. This compensation range will vary based on location.

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 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.

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.

The Team

The Studio Media Algorithms team is at the forefront of algorithmic innovation to enhance and support the creation of Netflix’s entertainment content, including games. In this role, you will be embedded within this team while collaborating very closely with a specialized Games Studio R&D team. This incubation-style team is chartered to lead our investments in building new kinds of games leveraging emerging technologies to support our creators and reach player audiences in new ways.

The Role

We are looking for a Machine Learning Engineer with a focus on MLOps, deployment, and performance optimization to help bridge the gap between research and production in the gaming space. You will work cross-functionally with games technical directors, designers, and scientists to ensure that novel AI-driven game concepts can be deployed efficiently across a variety of hardware environments.

In this role, you will:

• Build and maintain MLOps pipelines: Develop robust CI/CD for ML, model registries, and automated deployment workflows to support rapid iteration.
• Optimize for performance: Profile and benchmark models across cloud GPUs and edge devices (e.g., Nsight, PyTorch Profiler) to identify bottlenecks and implement hardware acceleration.
• Scale deployment: Design and implement model deployment strategies for both Cloud and Edge environments, ensuring efficient, low-latency execution in game runtimes.
• Enhance model efficiency: Apply precision tuning and quantization techniques to  meet latency, cost, and memory constraints without significant quality loss.
• Collaborate on integration: Work with game engineers to integrate ML models into game engine pipelines and APIs.

About You

• MLOps & Deployment Expertise: Proven experience with model registries, containerization, and building end-to-end CI/CD pipelines for machine learning. Experience productionizing ML models in the cloud (e.g.,  AWS and SageMaker endpoints), including scaling, monitoring, and working closely with platform/infra teams.
• Hardware Profiling & Acceleration: Experience in profiling and optimizing ML inference on GPUs, with knowledge of CUDA-based runtimes and tools (e.g., Nsight, cuDNN, TensorRT, ONNX Runtime).
• Compiler & Runtime Knowledge: Familiarity with graph compiler optimization and tools like MLIR or LLVM.
• Framework Proficiency: Extensive experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Strong Software Engineering: Ability to develop high-quality, maintainable code and integrate complex algorithmic solutions into production systems.
• Passion for Games: A strong interest in how technology enables joy and innovation in the video game industry.

Bonus Experience

• Hands-on experience deploying ML models on edge, such as iOS or Android devices, including model optimization and hardware-aware inference.
• Experience in game development and familiarity with game engines (e.g., Unity, Unreal).
• Experience in model distillation, pruning, or other model compression techniques.

Generally, 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 $466,000.00 - $750,000.00.

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 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.

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.

The Games Experiences Platform team is the core integration layer between game developers, players, and the Netflix ecosystem. We provide the SDKs, APIs, core services, and foundational infrastructure that enable delivery of delightful, high-quality player experiences with agility, consistency, and reliability.

We are seeking a Senior Android Engineer to innovate and build the next generation of Games SDK product experiences. You will play a pivotal role in building the products and features that enable game developers to integrate their games into the Netflix service. In the process, you will help create an immersive environment for Netflix members to discover and play games.

What you will do

• Develop product features and foundational infrastructure for the Android Games SDK and corresponding bindings to common game engine plugins (Unity, Unreal)
• Collaborate cross-functionally with product, design, and engineering partners to define project roadmaps and build delightful player experiences
• Architect maintainable, performant Android client code with effective documentation
• Design code for testability and write automated tests to help uphold product quality.
• Stay informed about cutting-edge Android technologies and software engineering practices to modernize the codebase, accelerate innovation, and maintain high product quality.

What sets you apart

• You are an Android expert passionate about crafting intuitive and seamless user experiences.
• You are a self-starter who excels at identifying opportunities and defining & driving forward-looking technical roadmaps.
• You are comfortable with uncertainty and ambiguity.
• You exude developer empathy. You have great intuition for making a clean, easy-to-use API for game developers to integrate Netflix services.
• You thrive on cross-functional collaboration. You have excellent communication skills and can translate objectives and concerns across teams, creating greater alignment among all stakeholders on a project.
• You are adept at analyzing data to gain insights that drive product improvements.

What skills are important to us

We value aptitude over experience, but here are some key skills that will make you successful on this team:

• Exceptional coding skills, especially with Kotlin and Java, and proficiency in navigating different languages and technology stacks.
• Experience developing third-party SDKs.
• Deep understanding of the technical landscape of Android development, and can introduce new paradigms and practices.

Generally, 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 $388,000.00 - $558,000.00. This compensation range will vary based on location.

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 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.

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.

At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence – Artwork, Trailers, Synopses – that authentically represents each title and resonates with the member is essential to this effort.

Beyond connecting global stories with existing audiences, we also aim to reach new subscribers and increase engagement through innovative marketing campaigns. By crafting compelling and targeted marketing strategies, we strive to capture the attention of potential members and convert their interest into subscriptions. Additionally, we focus on increasing conversation and excitement about Netflix and our content, creating buzz and anticipation that encourages both current and prospective members to explore and engage with our diverse offerings. 

Getting this evidence just right for each title is a tall order; however, the Promo Media Algo team, with assistance from creative supervision and member feedback data, have built tools & processes that use technologies like Computer Vision, and Machine Learning to enable our creators to tell the best version of the story they want while allowing our studio to scale further.

Join us to be part of a team that is shaping the future of media and marketing at Netflix. We are seeking an experienced Machine Learning Software Engineer with 5+ years of experience to join our team. You will work closely with our ML scientists to design and develop scalable systems and workflows that enable the efficient development, deployment, and operation of ML/CV algorithms across Netflix's Promo Media and Marketing workflows. This role supports a diverse portfolio of projects - from batch Computer Vision pipelines processing every video package ingested to Netflix, to real-time GenAI systems serving creative workflows - requiring versatility and expertise across different ML deployment paradigms.

Responsibilities

• Architect and implement robust ML pipelines and reusable frameworks across the full ML lifecycle in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems, personally developing critical components while providing technical leadership and mentorship to team members implementing other parts of the system
• Collaborate cross-functionally with ML scientists, product managers, and engineers to define and prioritize system requirements
• Partner with our ML platform team to translate technical needs into infrastructure requirements, advocating for platform capabilities that enhance reliability, boost team productivity, and support our long-term vision for innovation at scale
• Optimize systems and workflows for latency, throughput, and reliability across both batch processing workflows and real-time services to meet SLA requirements
• Strategically identify and address technical debt to improve development velocity, while implementing tools and processes that enhance team productivity and code quality

About you

• 5+ years of proven experience in software engineering for ML projects and products, with strong proficiency in Python
• BSc in Computer Science, Electrical Engineering, or a related technical field.
• Familiarity with ML libraries such as PyTorch, experience with ML/CV/GenAI pipelines, and knowledge of distributed data processing systems.
• Experience with ML workflow orchestration tools like Metaflow, Ray, Airflow, or similar pipeline management systems
• Proficient in cloud infrastructure, including S3, Docker containers.
• Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime.
• Demonstrated ability to effectively communicate technical requirements and influence infrastructure decisions across team boundaries
• Track record of mentoring engineers on ML engineering best practices while balancing technical debt reduction with feature delivery
• Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity.
• You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture.
• The Netflix culture resonates with you.

Bonus Experience:

• Experience with GPU training and inference optimization of LLMs, performance tuning, and debugging
• Experience building end-to-end multimedia systems and computer vision algorithms.
• Familiarity with generative models and tools, such as diffusion-based models

Generally, 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 $466,000.00 - $750,000.00.

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 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.

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 Netflix’s Engineering organization builds the foundation that powers one of the world's most complex cloud environments. Within this organization, the Observability team is responsible for the "nervous system" of our platform—the tools and systems used to monitor health, detect anomalies, and troubleshoot issues at a massive scale. We focus on reducing "time to insight," transforming vast amounts of system data into intuitive, actionable experiences that minimize cognitive load for engineers. By streamlining how our teams understand and resolve complex system behaviors, we ensure our infrastructure remains resilient so we can focus on what truly matters: entertaining the world.

The Opportunity

We are looking for a Senior Product Designer to join our Observability team and lead the design strategy for our mission-critical telemetry platform. Our systems process massive volumes of logs, metrics, and traces; your goal is to transform this sea of data into a cohesive, intuitive experience that empowers engineers to solve problems faster.

In this role, you will move beyond traditional dash-boarding to focus on "Time to Insight." You will design the tools that help engineers navigate complex cloud infrastructure, turning fragmented signals into a clear story of system health, performance, and reliability.

Working closely with product managers and engineers, you'll shape critical initiatives including:

• *Accelerating Troubleshooting:* Design guided analysis workflows and AI-assisted troubleshooting experiences that help engineers find the "needle in the haystack" across distributed systems.
• *Unifying the Ecosystem:* Break down silos between disparate tools. You will establish a consistent design language and navigation patterns that allow for a seamless flow between querying, visualization, and alerting.
• *Actionable Intelligence:* Evolve monitoring systems from simple data displays to high-signal experiences that provide contextual insights and clear paths to remediation.
• *Paved Road Observability:* Create interfaces that surface insights earlier in the development lifecycle, helping teams identify regressions and performance bottlenecks before they reach production.
• *Complex Data Visualization:* Develop innovative ways to visualize infrastructure relationships, dependencies, and cost-efficiency opportunities.

This unique opportunity allows you to not only shape our design practices but also redefine the monitoring and troubleshooting experience for one of the world's most innovative companies. If you're looking for a dynamic role where you can transform complex system signals into intuitive workflows that help engineers detect, understand, and resolve issues faster than ever, we'd love to talk to you!

What You Will Do

*Design Vision and Strategy*

• *Define the User Experience:* Shape the end-to-end design for our internal developer tools, creating intuitive workflows that help engineers understand complex systems and stay productive.
• *Scale Through Systems:* Lead the creation and adoption of flexible design patterns and components built for data-dense interfaces, ensuring a cohesive look and feel across our entire technical platform.
• *Turn Complexity into Clarity:* Use research and logic to simplify deeply technical concepts, transforming raw data into clear, actionable stories that help teams make better decisions.
• *Design for Impact:* Identify high-value opportunities to improve how our engineers work, using a mix of user feedback, technical insights, and design intuition to prioritize your efforts.
• *Promote "Paved Paths":* Design smart defaults and guided experiences that reduce cognitive load, helping users move quickly and safely without needing to be experts in the underlying infrastructure.
• *Measure and Iterate:* Partner with product and engineering to define what "good" looks like, establishing experience metrics that help us continuously improve the usability of our tools.
• *Anticipate Needs:* Look around corners to identify emerging problems, helping the team frame technical challenges through a human-centered lens early in the process.

*Design Leadership and Execution*

• Drive end‑to‑end design for interdependent workflows
• Craft and validate prototypes that effectively communicate solutions
• Establish scalable design practices and foundational patterns
• Scope and negotiate realistic deliverables with partners
• Mentor designers and partner teams; help grow shared understanding and adoption of effective design practices

*Cross-functional Collaboration*

• Co‑create strategy with product and engineering leadership to drive critical initiatives for your product area
• Facilitate workshops with technical stakeholders; build consensus on implementation, trade‑offs, and sequencing
• Articulate compelling design solutions and decision rationale to senior leadership, connecting technical challenges to business outcomes
• Lead through influence across teams to ensure coherent, cross‑surface experiences (UI, IDE/CLI, APIs)

What We’re Looking For

If you’re excited about this role but don’t meet every single requirement, we encourage you to apply. We value potential, transferable experience, and a learning mindset.

*Essential Experience and Skills*

• 5+ years as a Product Designer (or equivalent experience)
• Experience designing monitoring and observability interfaces, developer tools, or analogous complex technical products
• Strong portfolio showing system‑level product work and the impact of your design leadership, including initiatives that span multiple teams
• Proven track record of leading design initiatives from concept to launch
• Proficient in design tools (Figma, etc.) and prototyping technologies
• Strong systems thinking and ability to design scalable solutions for complex technical challenges

*Leadership and Collaboration*

• Successfully led design strategy for complex technical products
• Proven track record of influencing and aligning cross-functional partners without direct authority
• Ability to navigate ambiguity, create clarity, and move complex initiatives forward with partners
• Excellence in communicating design decisions to technical audiences
• Demonstrated success in mentoring designers and improving team practices
• Strong ability to work autonomously and drive initiatives independently
• Skill in sequencing and communicating long-term vision through incremental steps
• Ability to collaborate effectively with engineers (coding skills not required)

*Technical Understanding*

• *Developer & Operator Empathy:* Literacy in software engineering workflows (e.g., Git-based configurations, CI/CD, and CLI-first interactions). You understand the mental models of engineers who spend their time in IDEs and terminals.
• *Telemetry & System Health:* A conceptual understanding of how technical teams monitor systems using metrics, logs, and traces. You can translate raw system signals into a coherent story of performance and reliability.
• *High-Density Visualization:* Strength in designing system-oriented interfaces—such as service topologies, dependency graphs, or flame graphs—that remain legible and actionable even at massive scale.
• *Operational Awareness:* Familiarity with core reliability concepts like SLOs/SLAs, error budgets, and health signals, and an understanding of how these "trust signals" influence engineering decisions.
• *Troubleshooting Workflows:* An ability to design for high-pressure environments, focusing on reducing "time to insight" by prioritizing the most relevant information during an incident or investigation.
• *Collaborative Systems Thinking:* Experience partnering with engineers to understand complex backend architectures (like distributed systems or cloud infrastructure) and simplifying them into intuitive frontend experiences.
• *Applied Intelligence (A Plus):* Experience or interest in using AI/ML to enhance technical workflows, such as automated anomaly detection, conversational querying, or guided root-cause analysis.

*Values*

• Continuous learner passionate about design excellence and culture
• Self-motivated and autonomous
• Mature approach to giving and receiving feedback
• Collaborative and ego-free in technical discussions
• Comfortable with ambiguity and driving clarity

More About Infrastructure Engineering @ Netflix

• MIT CODE 2024 Practitioners Panel: Design & User Experience Perspectives (video)
• Netflix’s Distributed Counter Abstraction (techblog)
• Unifying the Netflix engineering experience with a federated platform console (video)
• Incremental Processing using Netflix Maestro and Apache Iceberg (techblog)
• Lessons from designing Netflix’s experimentation platform (video)
• Full Cycle Developers at Netflix -- Operate What You Build (techblog)
• Netflix Data Engineering Summit (techblog)

Generally, 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 . This compensation range will vary based on location.

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 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.