• Drive the vision and strategy for evolving our Cloud Networking Platform solutions • Build, scale, and mentor a cohesive team of amazing engineers • Form strong cross-functional partnerships driven by trust • Deliver network platform capabilities and drive adoption across Netflix

• Build, lead, and develop a remote engineering team of ~5 engineers. • Act as a hands-on technical leader—participating in code reviews, architecture decisions, and occasional implementation work. • Drive clarity, accountability, and execution across your team. • Foster a high-trust, ownership-driven culture with strong collaboration and effective async communication. • Partner closely with product to plan, prioritize, and deliver meaningful outcomes. • Improve engineering processes, quality, and productivity as the company scales. • Hire top engineering talent both in and out of the US. • Identify and solve problems proactively, bringing solutions—not only issues—to the table.

• Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement • Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations • Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities • Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle • Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency • Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes • Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs, as well as oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets

• Be Customer-Obsessed – We expect every engineering manager to talk to customers, understand their needs, and be “joined at the hip” with their product counterparts to build solutions for our customers better than any of us could design or engineer on our own. We’re looking for builders with an excellent product sense. • Be Hands-On – Contribute code to production systems and actively participate in architecture, design reviews, code reviews, and critical technical decisions alongside your senior engineering team. • Drive Engineering Execution & Delivery – Lead a team of engineers to ship tons of value to our customers and ship it fast. We prioritize a sense of urgency, but a big part of your job is also to foster a culture of technical excellence and speed without sacrificing reliability. • Technical Strategy & Roadmap – We expect our engineering managers to drive technical strategy for their teams, balancing long-term architecture with short-term pragmatism. The buck stops with you