Netflix is a company dedicated to entertaining the world through innovative storytelling and technology. They are seeking a highly experienced Software Engineer in Test to ensure the quality of consumer-facing iOS applications, focusing on enhancing the streaming experience for users on Apple devices.
Responsibilities:
- Implement the Netflix Player that delivers Netflix content to users on iPhones, iPads, and Apple TV
- Drive measurable improvements to members' streaming experience and build new features for innovative product experiences
- Collaborate with UI engineering and product teams, Apple, content and studio engineering, and data experts to deliver video playback
- Ensure quality of consumer-facing iOS/iPadOS/tvOS applications at scale with Swift and Objective-C
- Champion automation and testing, building tools, frameworks, and infrastructure for automation
- Apply AI tooling in a testing context to generate tests, triage failures, analyze flakiness, and close coverage gaps
- Determine what should be automated versus manual testing and defend that decision with data
- Communicate openly and proactively, sharing context, ideas, and feedback while engaging in active listening
- Passionate about testing at every layer of the stack, influencing team quality culture and driving test strategy decisions
- Reason through interactions of complex systems and services, understanding technical tradeoffs in playback issues
- Define hypotheses and use data to reason about test results, running high volumes of automation across diverse devices
Requirements:
- Highly experienced ensuring the quality of consumer-facing iOS/iPadOS/tvOS applications at scale with Swift and Objective-C, and deeply curious about Audio and Video and how streaming at Netflix works
- Experience with HLS, Media Playback, or AVPlayer is a bonus
- A champion for automation and testing, with the software engineering chops to build the tools, frameworks, and infrastructure that make automation possible — not just consume them
- Experienced applying AI tooling in a testing context — you've built and used AI-assisted workflows to generate tests, triage failures, analyze flakiness, or close coverage gaps, and you bring that experience to bear on quality problems rather than waiting for tools to be handed to you
- Comfortable drawing the line between what should be automated and what should remain manual, and able to defend that line with data and judgment rather than dogma
- Open and proactive communicator who shares context, ideas, and feedback while engaging in active listening — drives collaboration across platform and team boundaries, whether with our UI and TVUI counterparts, fellow Player engineers on Android and TV, product managers, or data science partners
- Passionate about testing at every layer of the stack — not just XCUI end-to-end automation, but component, integration, and unit testing as well
- You use your experience and judgment to find the right testing solution wherever it lives and influence other engineers on the team to adopt the right approach
- Proven experience influencing team quality culture and driving test strategy decisions
- Systems thinker who can reason through the interactions of complex systems and services and understand technical tradeoffs, especially in a domain where playback issues are often emergent and hard to reproduce
- Scientific thinker who can define hypotheses and use data to reason about test results — we run a high volume of automation across a diverse set of devices
- Passionate about bringing a world-class experience to millions of people watching our content on varied devices, in different languages, with diverse network connectivity, from locations across the globe