Distributed Systems Engineer (L4) - Data Platform: Join Netflix's Innovative Team as a Remote Data Expert and Enjoy $26/Hour
Introduction to Netflix's Data Platform Team
Imagine being part of a team that enables the world's leading internet entertainment service to engage with a global audience. At Netflix, we're on a mission to revolutionize how entertainment is envisioned, created, and delivered to over 190 countries, with more than 220 million paid subscribers. Our Data Platform team is at the forefront of this mission, providing unified data platforms and tools that empower various business functions to make data-driven decisions. We're now looking for talented Distributed Systems Engineers to help advance and grow our foundation as we strive for 500 million subscribers worldwide.
Job Overview
We're seeking experienced Distributed Systems Engineers (L4) to join our Data Platform team. As a remote-friendly team, we value what you can do, regardless of your location in the U.S. This is a full-time opportunity with a competitive salary of $26/hour. You'll play a crucial role in designing, building, and operating large-scale distributed systems that enable Netflix's microservices to efficiently store, consume, and manage data.
Key Responsibilities:
- Design, develop, and maintain large-scale distributed systems that meet the evolving data needs of Netflix microservices.
- Collaborate with cross-functional teams, including engineers, product managers, and TPMs, to drive initiatives and solve complex problems.
- Contribute to the open-source community and add to Netflix's OSS (Open Source Software) projects.
- Ensure the scalability, reliability, and performance of distributed systems, with a focus on sub-millisecond latencies.
- Work on building and operating adaptable query doors, data processing, and handling systems.
- Participate in code reviews, ensuring high-quality code and promoting a culture of feedback and engineering excellence.
Focus Areas within the Data Platform Team
Database Access Platform
The Database Access Platform group builds and operates a flexible query door that works with data abstractions to achieve sub-millisecond latencies. This team is responsible for enabling Netflix microservices to fulfill their growing and evolving data needs.
Data Platform Infrastructure
The Data Platform Infrastructure group serves as a platform for our own data platforms. They create high-impact systems, controls, and deployment frameworks tailored to running data systems at scale.
Data Development and Processing
This team offers a self-service, cleared-way product to empower varied client personas across Netflix to meet their low-latency Data Development and Processing needs.
Big Data Compute
The Big Data Compute team provides the cloud-native platform for distributed data processing at Netflix. They're responsible for helping with Flash, ETL data into petabytes-scale data warehouses, and accessing that data using Flash and Voila/TrinoDB.
Big Data Orchestration
This team offers the platform for scheduling, organizing, and executing big data jobs and workflows in a self-serve manner.
Requirements and Qualifications
Essential Qualifications:
- Bachelor's degree in Computer Science or a related field.
- 2+ years of experience building large-scale distributed systems or applications.
- Proficiency in designing and developing RESTful web services.
- Experience with building and operating scalable, fault-tolerant, distributed systems.
- Knowledge of Java or other object-oriented programming languages.
- Comfort with multi-threading and solving related challenges.
Preferred Qualifications:
- Experience with distributed data systems, such as Apache Kafka, Apache Flink, or similar technologies.
- Familiarity with cloud-native technologies and containerization (e.g., Docker).
- Knowledge of Python and its ecosystem.
- Experience contributing to open-source projects.
Skills and Competencies
- Strong problem-solving skills and the ability to apply programming and analytical thinking to solve complex problems.
- Excellent communication and collaboration skills, with experience working with cross-functional teams.
- Adaptability and willingness to learn and grow with the team.
- Strong attention to detail and commitment to delivering high-quality solutions.
Career Growth Opportunities and Learning Benefits
At Netflix, we prioritize the growth and development of our employees. You'll have access to:
- Opportunities for career advancement and professional growth.
- Training and development programs to enhance your skills.
- A culture that encourages feedback, learning, and innovation.
- The chance to work with cutting-edge technologies and contribute to open-source projects.
Work Environment and Company Culture
Our Data Platform team is:
- Remote-friendly, with team members located across the U.S.
- Committed to diversity, equity, and inclusion.
- Focused on delivering high-quality solutions and driving innovation.
- Supportive of continuous learning and growth.
Compensation, Perks, and Benefits
We offer a competitive salary of $26/hour, along with:
- Comprehensive benefits package.
- Opportunities for professional growth and development.
- A dynamic and supportive work environment.
Conclusion and Call to Action
If you're a motivated individual looking to contribute to a thriving team and enjoy $26/hour, we encourage you to apply now! As a Distributed Systems Engineer (L4) on our Data Platform team, you'll play a crucial role in shaping the future of entertainment and data processing. Don't miss this opportunity to join our innovative team and grow your career.
Apply for this job