Job Title: Software Engineer 6 - Evidence Engineering Company Name: Netflix Job Url: https://jobright.ai/jobs/info/69d7b8ba9f97a42dc9c1698c Job Description: Netflix · 23 minutes ago Software Engineer 6 - Evidence Engineering United States Full-time Remote Lead/Staff $499K/yr - $900K/yr 58% FAIR MATCH 78% Exp. Level 32% Skill 45% Industry Exp. 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. Digital Media Media and Entertainment Video Digital Entertainment TV Video Streaming Comp. & Benefits H1B Sponsor Likely Insider Connection @Netflix 2 email credits available today Discover valuable connections within the company who might provide insights and potential referrals. Get 3x more responses when you reach out via email instead of LinkedIn. Beyond Your Network View S M M C F Simon Zhou & 4 connections From Your Previous Company Unlock F F F & 2 connections Previously@undefined and... From Your School Unlock F F F & 2 connections @undefined and... Find Any Email 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 Qualification Represents the skills you have Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise. Large-scale distributed systems Low-latency systems Real-time asset delivery Content serving systems System design Backend infrastructure Machine learning systems Data pipelines Personalization infrastructure GenAI techniques Judgment Autonomy Required 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 Preferred 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 Benefits Health Plans Mental Health support A 401(k) Retirement Plan with employer match Stock Option Program Disability Programs Health Savings and Flexible Spending Accounts Family-forming benefits Life and Serious Injury Benefits Paid leave of absence programs Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off Full-time salaried employees are immediately entitled to flexible time off