Software Engineer 6 - Evidence Engineering

Netflix is a company dedicated to entertaining the world, and they are looking for a Staff-level Software Engineer to lead technical initiatives within their Evidence organization. This role focuses on building and operating systems for personalized content delivery at scale, ensuring low latency and high availability across various platforms.

Responsibilities:

• Lead the technical vision for core Evidence capabilities, setting the technical direction and driving longer-term strategy for asset delivery, personalization infrastructure, and merchandising capabilities. Ensuring low latency, high availability, and cost-efficient operation across all device platforms
• Partner closely with operations, ML scientists, and merchandising teams to design and build state-of-the-art self-service tools that enable teams to experiment with and launch the best experiences at scale
• Collaborate with Personalization, Content Engineering, Product, and Platform Infrastructure to deliver well-integrated solutions that meet the needs of multiple internal consumers
• Identify and address gaps in reliability, observability, and scalability before they become incidents — and raise the operational bar for the broader team
• Navigate open-ended technical problems with limited precedent, bringing structure and clarity to ambiguous situations and building alignment across diverse stakeholders
• Mentor and raise the technical bar for engineers on the team through code reviews, design discussions, and direct collaboration

Requirements:

• Extensive experience building and operating large-scale, low-latency distributed systems, ideally on horizontal platforms that serve multiple engineering teams simultaneously
• Deep knowledge of real-time asset delivery or content serving systems, with a track record of improving both performance and cost efficiency at scale
• Strong judgment in system design — you can identify the right trade-offs between consistency, availability, and latency, and communicate those decisions clearly to technical and non-technical stakeholders
• Experience working at the boundary between backend infrastructure and ML or personalization systems, with an understanding of how data pipelines and model outputs translate into product experiences
• A proven ability to set technical direction, drive multi-quarter roadmaps, and deliver high-impact projects across organizational boundaries
• Strong communication and collaboration skills — you build trust with partners across engineering, product, and design, and can influence direction without formal authority
• The ability to operate with high autonomy in ambiguous environments and deliver results independently
• Working knowledge of GenAI techniques applied to engineering workflows is a strong plus — we're actively looking for engineers who use these tools to raise the team's overall productivity and technical velocity