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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
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)
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
These jobs might be a good fit