Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

About the role

Key responsibilities

• Implement and manage software solutions that provide accurate and efficient analysis of test runs
• Create and maintain tools for framework-agnostic analysis of distributed tracing tools for test runs
• Develop and integrate software solutions which provide high-quality synthetic test data generated from captured production traffic and API schema registries
• Integrate internal and vendor-provided distributed test execution infrastructure into engineering workflows with a focus on reliability and ease of use
• Design and develop tools and infrastructure to automatically detect, quarantine, and reproduce flaky tests
• Correlate test coverage data with code changes, runtime execution, and trace data for comprehensive reporting
• Maintain a strong focus on scalability, usability, and reliability in platform design to support a growing cohort of stunning engineers
• Stay informed about industry trends and emerging technologies to ensure Netflix remains at the forefront of testing infrastructure

Who you are

• A stunning software engineer with experience working on developer platform or productivity teams
• A meticulous software designer who researches and documents technical tradeoffs clearly and concisely
• A self-motivated and organized individual who can independently drive engineering-wide solutions
• A proactive communicator who engages effectively with technical and non-technical stakeholders
• An advocate for a strong testing culture, having familiarity with popular test frameworks, code coverage tools, continuous integration systems, and post-deployment verification methods (healthy contempt for flaky tests is a plus)

Experience we’d be excited about

• You have shipped and maintained Java, JavaScript, Python, or Golang code in production
• You have designed and implemented metrics data pipelines
• You have assembled JVM Spring Boot applications using Gradle
• You have generated and analyzed Zipkin traces
• You have implemented advanced log, metric, or error stack trace analysis

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.