Distributed Systems Engineer (L4) - Data Platform - Remote Opportunity with Netflix
Job Summary
Are you passionate about building large-scale distributed systems and driving innovation in the entertainment industry? Do you have a knack for solving complex technical problems and collaborating with cross-functional teams? Netflix, the world's leading streaming entertainment service, is seeking a talented Distributed Systems Engineer (L4) - Data Platform to join our team of experts in developing and enhancing our data infrastructure. As a remote-friendly company, we welcome applications from all over the U.S.
About Netflix
At Netflix, we're on a mission to engage the world and continually enhance how entertainment is envisioned, made, and delivered to a global audience. With over 220 million paid subscribers in 190 countries, we're pushing the boundaries of streaming media and venturing into new areas like gaming. Our data platform teams play a critical role in empowering us to use data to deliver delight to our members in various ways. We provide unified data platforms and tools for different business functions at Netflix, enabling them to make data-driven decisions.
Our Data Platform Teams
We're comprised of several teams, each focusing on a specific aspect of our data infrastructure:
Database Access Platform: Building and operating a scalable query engine that works with data reflections to achieve sub-millisecond latencies, enabling Netflix microservices to efficiently store, consume, and manage their data.
Data Platform Foundation: Developing a platform for our own data platforms, providing common infrastructure and tooling that enables Netflix to rapidly innovate and provide cutting-edge data and analytics systems.
Big Data Compute: Providing a cloud-native platform for distributed data processing, supporting Flash, ETL, and data warehousing, as well as sub-second latency for specific queries using Druid.
Big Data Orchestration: Offering a platform for planning, scheduling, and executing large data jobs and workflows in a self-serve manner, enabling ETL and ML workloads to run on Big Data Frameworks at Netflix.
Key Responsibilities
As a Distributed Systems Engineer (L4) - Data Platform, you will:
Design, develop, and operate large-scale distributed systems features or applications, addressing genuine business needs at scale.
Architect and build robust, scalable, and highly available distributed infrastructure, ensuring fault tolerance and high performance.
Lead cross-functional initiatives and collaborate with engineers, product managers, and TPMs across teams to drive innovation and solve complex technical problems.
Contribute to open-source communities and add to Netflix OSS, sharing our experiences and expertise with the wider tech community.
Troubleshoot and optimize system performance, identifying bottlenecks and areas for improvement.
Develop and maintain technical documentation, ensuring that our systems and processes are well-documented and easily accessible.
Requirements
To succeed in this role, you should:
Have 2+ years of experience building large-scale distributed systems features or applications.
Be proficient in designing and developing RESTful web services, with experience in Java or other object-oriented programming languages.
Have hands-on experience building and operating scalable, fault-tolerant distributed systems.
Be comfortable with multi-threading and solving complex technical problems.
Hold a Bachelor's degree in Computer Science or a related field.
Preferred Qualifications
We'd love to see:
Experience with distributed databases, data warehousing, and ETL.
Knowledge of cloud-native technologies, such as AWS or GCP.
Familiarity with Agile development methodologies and version control systems like Git.
Excellent communication and collaboration skills, with experience working with cross-functional teams.
What We Offer
As a Netflix employee, you'll enjoy:
A competitive salary of $28/hour.
A comprehensive benefits package, including medical, dental, and vision coverage.
A 401(k) matching program and other retirement savings options.
Opportunities for career growth and professional development.
A dynamic, supportive work environment with a team of talented engineers.
The flexibility to work remotely from anywhere in the U.S.
Our Culture
At Netflix, we value:
Innovation: We're always looking for new ways to improve our technology and services.
Freedom: We trust our employees to make decisions and take ownership of their work.
Responsibility: We believe in being accountable for our actions and their impact on our members and the company.
Collaboration: We work together as a team, sharing knowledge and expertise to achieve our goals.
How to Apply
If you're passionate about building large-scale distributed systems and driving innovation in the entertainment industry, we'd love to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to learn more about your skills and experience!
Join our team and help us shape the future of entertainment!
Apply Now
Are you passionate about building large-scale distributed systems and driving innovation in the entertainment industry? Do you have a knack for solving complex technical problems and collaborating with cross-functional teams? Netflix, the world's leading streaming entertainment service, is seeking a talented Distributed Systems Engineer (L4) - Data Platform to join our team of experts in developing and enhancing our data infrastructure. As a remote-friendly company, we welcome applications from all over the U.S.
About Netflix
At Netflix, we're on a mission to engage the world and continually enhance how entertainment is envisioned, made, and delivered to a global audience. With over 220 million paid subscribers in 190 countries, we're pushing the boundaries of streaming media and venturing into new areas like gaming. Our data platform teams play a critical role in empowering us to use data to deliver delight to our members in various ways. We provide unified data platforms and tools for different business functions at Netflix, enabling them to make data-driven decisions.
Our Data Platform Teams
We're comprised of several teams, each focusing on a specific aspect of our data infrastructure:
Database Access Platform: Building and operating a scalable query engine that works with data reflections to achieve sub-millisecond latencies, enabling Netflix microservices to efficiently store, consume, and manage their data.
Data Platform Foundation: Developing a platform for our own data platforms, providing common infrastructure and tooling that enables Netflix to rapidly innovate and provide cutting-edge data and analytics systems.
Big Data Compute: Providing a cloud-native platform for distributed data processing, supporting Flash, ETL, and data warehousing, as well as sub-second latency for specific queries using Druid.
Big Data Orchestration: Offering a platform for planning, scheduling, and executing large data jobs and workflows in a self-serve manner, enabling ETL and ML workloads to run on Big Data Frameworks at Netflix.
Key Responsibilities
As a Distributed Systems Engineer (L4) - Data Platform, you will:
Design, develop, and operate large-scale distributed systems features or applications, addressing genuine business needs at scale.
Architect and build robust, scalable, and highly available distributed infrastructure, ensuring fault tolerance and high performance.
Lead cross-functional initiatives and collaborate with engineers, product managers, and TPMs across teams to drive innovation and solve complex technical problems.
Contribute to open-source communities and add to Netflix OSS, sharing our experiences and expertise with the wider tech community.
Troubleshoot and optimize system performance, identifying bottlenecks and areas for improvement.
Develop and maintain technical documentation, ensuring that our systems and processes are well-documented and easily accessible.
Requirements
To succeed in this role, you should:
Have 2+ years of experience building large-scale distributed systems features or applications.
Be proficient in designing and developing RESTful web services, with experience in Java or other object-oriented programming languages.
Have hands-on experience building and operating scalable, fault-tolerant distributed systems.
Be comfortable with multi-threading and solving complex technical problems.
Hold a Bachelor's degree in Computer Science or a related field.
Preferred Qualifications
We'd love to see:
Experience with distributed databases, data warehousing, and ETL.
Knowledge of cloud-native technologies, such as AWS or GCP.
Familiarity with Agile development methodologies and version control systems like Git.
Excellent communication and collaboration skills, with experience working with cross-functional teams.
What We Offer
As a Netflix employee, you'll enjoy:
A competitive salary of $28/hour.
A comprehensive benefits package, including medical, dental, and vision coverage.
A 401(k) matching program and other retirement savings options.
Opportunities for career growth and professional development.
A dynamic, supportive work environment with a team of talented engineers.
The flexibility to work remotely from anywhere in the U.S.
Our Culture
At Netflix, we value:
Innovation: We're always looking for new ways to improve our technology and services.
Freedom: We trust our employees to make decisions and take ownership of their work.
Responsibility: We believe in being accountable for our actions and their impact on our members and the company.
Collaboration: We work together as a team, sharing knowledge and expertise to achieve our goals.
How to Apply
If you're passionate about building large-scale distributed systems and driving innovation in the entertainment industry, we'd love to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to learn more about your skills and experience!
Join our team and help us shape the future of entertainment!
Apply Now