Distributed Systems Engineer 5 — Cloud Network Engineering

Netflix is the world's leading streaming entertainment service with 300+ million paid memberships in over 190 countries. The role involves creating network architectures that evolve with product services and initiatives, developing tools and services to improve network availability, scale, performance, and security.

Responsibilities:

• Balancing bias to action with the ability to make well-informed bets
• Engaging directly with end engineering users to understand their needs and improve their experience
• Understanding and solving business needs at scale with high-quality solutions
• Leaning into proactiveness and effective communication in pursuit of cross-functional alignment
• Writing and maintaining code to solve complex network problems, automate network configuration, and streamline management processes, enhancing the overall efficiency and reliability of our network infrastructure
• Contributing to the design and architecture of network components, including VPCs, load balancers, network gateways, and IPv6 configurations, ensuring they meet the evolving needs of the platform
• Engaging directly with end engineering users to understand their needs and continuously improve their experience with our network solutions
• Understanding and addressing business needs at scale, delivering high-quality solutions that align with our organizational goals and strategy

Requirements:

• Experience developing solutions using cloud-native technologies and frameworks, with a strong focus on scalability and resilience
• Expertise in cloud networking, particularly within AWS, including VPC design, subnetting, security groups, and routing
• Experience with Go, Java, Python, or similar object-oriented programming languages and a demonstrated ability to write clean, maintainable, and efficient code
• Solid understanding of networking fundamentals across layers L2 to L7, including knowledge of network protocols and troubleshooting in production environments
• A deep commitment to continuous learning, coupled with a pragmatic approach to thinking and the ability to navigate ambiguous areas and break down complex problems
• A passion for technology combined with the ability to navigate ambiguous areas, breaking down complex problems into actionable solutions
• Experience with container and orchestration technologies such as Docker and Kubernetes
• Experience building and operating microservices within a highly reliable and distributed systems environment
• Demonstrated ability to ensure service resilience and scalability
• Familiarity with Temporal or similar workflow orchestration tools for managing complex application workflows and ensuring fault-tolerant service execution