Remote Security Engineer: Java & Data Systems

Netflix; Little Rock (AR); Remote; USD 28,000 - 36,000; Full time

Job summary

Netflix is seeking a Software Engineer to help design and implement security engineering solutions across the Netflix platform. You will partner with engineers, data scientists, and TPMs to build and operate scalable data catalogs, discovery, and metadata systems.

You will work in a fast-moving team, tackle testing issues, and contribute to securing streaming and data workflows at scale. The role emphasizes Java development, data pipelines, and a proactive, learning-driven approach to solving

Qualifications

• You are enthusiastic about security and information assurance. Nonetheless, related knowledge in security design isn't needed.
• You are a strong backend developer, exceptionally capable in Java.
• You have experience creating software and building services and automation.
• You incline to take initiative and are comfortable navigating through ambiguous conditions.
• You're excited to demonstrate excellence, learn new technologies, and grow your career.

Responsibilities

• Design, model, build, run, and improve data catalogs, discovery, and metadata systems at scale.
• Collaborate with engineers, data scientists, and TPMs across distributed systems, data streaming, and data centers.
• Identify and fix issues, drive improvements, and impact the business with scalable security engineering.

Skills

Java

Security concepts

Data pipelines

Automation

Education

Bachelor's degree

Tools

Hive

Voila

Flash

Flink

Job description

Netflix is seeking a Software Engineer to help design and implement security engineering solutions across the Netflix platform. You will partner with engineers, data scientists, and TPMs to build and operate scalable data catalogs, discovery, and metadata systems.

You will work in a fast-moving team, tackle testing issues, and contribute to securing streaming and data workflows at scale. The role emphasizes Java development, data pipelines, and a proactive, learning-driven approach to solving