Netflix is looking to build and maintain scalable, real-time data services that power ML and GenAI systems for core product verticals like Gaming, Streaming, and Ads. The goal is to enhance consumer experiences and provide business insights at Netflix scale.
Requirements
- 6+ years of experience designing and implementing highly scalable, fault-tolerant distributed systems and microservices at internet scale.
- Expertise working with distributed data (PB+ scale), including real-time stream processing and extending distributed database systems such as Cassandra.
- Proficiency in at least one major programming language (e.g., Java, Scala), with the ability to quickly learn new technologies.
- Hands-on experience with schema design, data modeling, and preparing data for ML use cases.
- Experience building highly available, reliable web applications and services for online data serving.
Responsibilities
- Architect, develop, and maintain high-performance, scalable, and reliable data-oriented services and distributed systems (using Spark, Flink, Cassandra, etc.).
- Build and maintain production data systems and real-time APIs that serve as the backbone for consumer-facing algorithms (traditional ML-based and LLM-based).
- Design intuitive schemas and data models, ensuring data quality and elegant dataset design.
- Work across all phases of the software development lifecycle : planning, design, implementation, deployment, operations, and support.
- Collaborate openly with cross-functional teams and infrastructure partners, providing architectural guidance and technical direction.
- Provide on-call support and operational excellence for business-critical systems.
- Drive innovation and continuous improvement, influencing change through clear communication and feedback.
Other
- Communicate complex technical ideas effectively to diverse stakeholders.
- Strong attention to detail, with a bias for action and a passion for engineering excellence.
- Ability to navigate and prioritize in ambiguous, fast-paced environments, owning solutions end-to-end.
- Comfortable giving and receiving feedback, and collaborating with teams across Gaming, Ads, and Streaming.
- Both a leader and a learner, able to operate with humility and maturity.
