Software Engineer 6 - Evidence Engineering

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. At Netflix, every decision a member makes — what to watch, what to try next, what to skip — is shaped by the assets we surface: artwork, trailers, synopses, and metadata. These aren't decorations. They're the evidence we use to connect members with content they'll love. The Evidence Engineering team builds and operates the systems that power this experience at scale, delivering personalized assets to hundreds of millions of members across every device, every surface, and every product initiative — from Live and Games to Ads and core recommendations. We are looking for a Staff-level (L6) Software Engineer to take on a technical leadership role within our Evidence organization. This is a backend-focused, high-impact role at the intersection of large-scale distributed systems and real-time personalization. Why it matters: Evidence engineering sits at a critical junction: we determine which artwork, trailer, or synopsis a member sees — and we do this for every page load, every recommendation, and every content surface across the product. Getting this right requires low-latency, high-throughput asset delivery systems that scale to Netflix's global member base while supporting rapid iteration across product teams. This role requires deep expertise in building and evolving horizontal platforms that serve multiple engineering teams and launching direct customer impacting features. A key focus will be on balancing system reliability and performance with the flexibility needed to support diverse product use cases — from high-traffic browse experiences to real-time Live events. You'll also work at the boundary between asset delivery infrastructure and the upstream ML and the devices that render the experience, which requires both technical depth and strong cross-functional judgment. What you will do: 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. What we are looking for: The ideal candidate is a Staff-level (L6) Software Engineer who demonstrates broad technical impact and the ability to drive complex, open-ended initiatives independently. You have: 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, availabi ... (truncated, view full listing at source)