Overview
Remote
USD 170,000.00 per year
Full Time
Skills
Internet
Apache Kafka
Data Processing
Apache Flink
Mantis
Resource Management
Finance
Machine Learning (ML)
Real-time
Regulatory Compliance
Privacy
Risk Management
Auditing
ADS
Streaming
Meta-data Management
FOCUS
Productivity
Storage
Apache Cassandra
Analytics
Interfaces
Data Management
Data Warehouse
Semantics
Reporting
Software Engineering
Analytical Skill
Conflict Resolution
Problem Solving
Total Productive Maintenance
TPM
Open Source
Operations Support Systems
Java
C++
Golang
Python
Multithreading
Management
Computer Science
HATS
Recruiting
SAP BASIS
Military
Job Details
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.
The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.
We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.
Spotlight on Data Platform Teams:
Data Movement Platform - Realtime Data Engines
Offers low level building blocks for the transport and processing of realtime data. For data transport we offer Kafka; for data processing we offer Flink and Mantis. Responsibilities include development of the control plane, compute resource management, reliability and availability of the data. Realtime data is critical across many business units of Netflix including Streaming, Gaming, Finance and Machine Learning platforms. This team also owns the Schema Registry to enable schema driven development for all real-time applications across Netflix.
Data Discovery and Governance
Data Discovery and Governance are strategic bets at Netflix that underpin our ability to leverage data as a valuable asset. The Netflix data discovery and governance team owns the foundational building blocks necessary for ensuring all our data is used effectively, efficiently, securely, and in compliance with regulations. Specifically, this allows Netflix to organize its data better, take informed actions with increased precision in security, privacy, and efficiency, improve our risk management capabilities, increase confidence in the quality of the data, and enable the discovery & auditing of high-value datasets.
While Netflix has built a strong data platform foundation, we are still in the very early stages of setting up a scalable and extensible data discovery platform to help the company derive higher-level insights and values of data across new businesses like Games, Live, Ads, on top of our streaming service.
Specifically, this team owns the Netflix-wide data catalog to capture and infer business metadata across all datasets at Netflix, distributed search and lineage infrastructure to effectively discover data and track lineage across different systems; and an extensible policy engine framework that allows our stakeholders to customize data policy rules for all datasets.
Online DataStores - KeyValue Team
The KeyValue team (part of the Online Data Stores portfolio) offers a managed key value store to meet Netflix's operational data requirements across all lines of business. Our focus is on developing and maintaining a high-performance, reliable, and efficient key-value store. Additionally, we enhance developer productivity by providing secure, intuitive and opinionated access layer for our backing storage engines including Cassandra.
This team is passionate about building innovative, efficient, performant, and scalable offerings for our customers. Our team also engages with the Cassandra open source community, actively contributing to and responsibly stewarding the development and use of open source software.
Analytics Infrastructure and Enablement
Our Analytics Infrastructure and Enablement team offers a platform that enables data practitioners to develop and manage data models for broad analytical use and to produce analytic products with efficiency and ease. The ultimate goal of the team is to enable broader self-service of high-fidelity analytics by developing robust APIs, user-friendly interfaces, and semi-automated data management and governance systems. Our team offers abstractions on Netflix's expansive data warehouse, and other data platform components, to provide easy access to semantic data models and easier development of analytical reporting and visualizations.
This would be your dream job if you enjoy:
About you:
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 we look forward to adding your perspective to the mix!
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 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.
The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.
We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.
Spotlight on Data Platform Teams:
Data Movement Platform - Realtime Data Engines
Offers low level building blocks for the transport and processing of realtime data. For data transport we offer Kafka; for data processing we offer Flink and Mantis. Responsibilities include development of the control plane, compute resource management, reliability and availability of the data. Realtime data is critical across many business units of Netflix including Streaming, Gaming, Finance and Machine Learning platforms. This team also owns the Schema Registry to enable schema driven development for all real-time applications across Netflix.
Data Discovery and Governance
Data Discovery and Governance are strategic bets at Netflix that underpin our ability to leverage data as a valuable asset. The Netflix data discovery and governance team owns the foundational building blocks necessary for ensuring all our data is used effectively, efficiently, securely, and in compliance with regulations. Specifically, this allows Netflix to organize its data better, take informed actions with increased precision in security, privacy, and efficiency, improve our risk management capabilities, increase confidence in the quality of the data, and enable the discovery & auditing of high-value datasets.
While Netflix has built a strong data platform foundation, we are still in the very early stages of setting up a scalable and extensible data discovery platform to help the company derive higher-level insights and values of data across new businesses like Games, Live, Ads, on top of our streaming service.
Specifically, this team owns the Netflix-wide data catalog to capture and infer business metadata across all datasets at Netflix, distributed search and lineage infrastructure to effectively discover data and track lineage across different systems; and an extensible policy engine framework that allows our stakeholders to customize data policy rules for all datasets.
Online DataStores - KeyValue Team
The KeyValue team (part of the Online Data Stores portfolio) offers a managed key value store to meet Netflix's operational data requirements across all lines of business. Our focus is on developing and maintaining a high-performance, reliable, and efficient key-value store. Additionally, we enhance developer productivity by providing secure, intuitive and opinionated access layer for our backing storage engines including Cassandra.
This team is passionate about building innovative, efficient, performant, and scalable offerings for our customers. Our team also engages with the Cassandra open source community, actively contributing to and responsibly stewarding the development and use of open source software.
Analytics Infrastructure and Enablement
Our Analytics Infrastructure and Enablement team offers a platform that enables data practitioners to develop and manage data models for broad analytical use and to produce analytic products with efficiency and ease. The ultimate goal of the team is to enable broader self-service of high-fidelity analytics by developing robust APIs, user-friendly interfaces, and semi-automated data management and governance systems. Our team offers abstractions on Netflix's expansive data warehouse, and other data platform components, to provide easy access to semantic data models and easier development of analytical reporting and visualizations.
This would be your dream job if you enjoy:
- Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
- Architecting and building a robust, scalable, and highly available distributed infrastructure.
- Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.
- Sharing our experiences with the open source communities and contributing to Netflix OSS.
About you:
- 7+ years experience in crafting complex, scalable distributed data infrastructure
- Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management
- Proven track record of developing and maintaining high-impact systems
- Experience building and operating scalable, fault-tolerant, distributed systems
- You have a BS in Computer Science or a related field
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 we look forward to adding your perspective to the mix!
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 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.