Software Engineer, Data

Netflix

full-time

Posted on: 9/6/2025

Location: 🇺🇸 United States

✨ AI Apply

💰 $100,000 - $720,000 per year

Mid-LevelSenior

CassandraDistributed SystemsJavaMicroservicesScalaSpark

About the role

Work across all phases of the software development lifecycle: planning, design, implementation, deployment, operations, and support
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
Act as a bridge between data producers and consumers and partner with diverse stakeholders
Collaborate openly with cross-functional teams and infrastructure partners, providing architectural guidance and technical direction
Communicate complex technical ideas effectively to diverse stakeholders
Provide on-call support and operational excellence for business-critical systems
Drive innovation and continuous improvement, influencing change through clear communication and feedback

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 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
Strong attention to detail, bias for action, and passion for engineering excellence
Ability to navigate and prioritize in ambiguous, fast-paced environments and own solutions end-to-end
Comfortable giving and receiving feedback and collaborating across Gaming, Ads, and Streaming teams
Leadership and learning mindset, operating with humility and maturity