Senior Software Engineer — Testing Tools & Infrastructure

4 Months ago • 4-8 Years • Game Engine

Job Summary

Job Description

Netflix seeks a Senior Software Engineer to build and enhance language-agnostic testing tools and telemetry. Responsibilities include implementing software solutions for efficient test run analysis, creating tools for framework-agnostic analysis of distributed tracing tools, developing solutions for high-quality synthetic test data generation, integrating distributed test execution infrastructure, designing tools to detect and reproduce flaky tests, correlating test coverage data, and maintaining platform scalability and reliability. The ideal candidate is passionate about developer productivity and possesses experience with Java, Python, Spring Boot, GraphQL, Kafka, PostgreSQL, and Gradle. A strong testing culture advocacy and familiarity with various testing frameworks are crucial.
Must have:
  • Experience building testing tools and infrastructure
  • Proficiency in Java, Python, Spring Boot
  • Experience with distributed tracing and data pipelines
  • Strong understanding of testing frameworks and CI/CD
  • Excellent problem-solving and communication skills
Good to have:
  • Experience with GraphQL, Kafka, PostgreSQL, and Gradle
  • Experience generating synthetic test data
  • Experience with Zipkin traces and log analysis

Job Details

Netflix is one of the world's leading entertainment services, with 283 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

We are looking for an experienced Senior Software Engineer with a demonstrated ability to build and enhance language-agnostic testing tools and telemetry which scales to meet the demand of millions of test runs per month.

Our ideal candidate is passionate about developer productivity, and thrives on the satisfaction of empowering thousands of Netflix engineers worldwide to quickly and comprehensively test their software. They are excited to leverage their experience building and maintaining automated testing and resilience platforms to provide long-term benefits.

Key responsibilities

Common languages and tools: Java, Python, Spring Boot, GraphQL, Kafka, PostgreSQL, and Gradle

  • 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

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.

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