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Job Title: Senior Software Engineer, Network Automation Platforms Location: NYC (Hybrid) Compensation: Exceptionally Generous + Bonus + Benefits The Opportunity Join an elite, world-class engineering team at a leading quantitative investment firm where technology is the key to their success. We are seeking an exceptional Software Engineer to architect, design, and develop the next generation of their network automation platform. This isn't a role for network administrators who use scripts; this is for software engineers who build the engine that drives the entire network. You will be at the heart of their infrastructure, creating the systems that provide the ultra-low latency, high availability, and extreme reliability required to power global trading operations. Working alongside some of the brightest minds in technology and finance, you will tackle complex challenges at a massive scale, with a direct and measurable impact on the business. If you are passionate about building robust, high-performance distributed systems to solve complex networking problems, we want to talk to you. Your responsibilities: Take a primary role in the architecture, design, and development of their in-house network automation and traffic engineering systems. Write clean, high-performance, and scalable code in Go and Python to build microservices and tooling that form our network control plane. Apply software-defined networking (SDN) principles to abstract and automate our complex global network infrastructure. Develop systems for automated provisioning, configuration management, telemetry, and network observability. Collaborate closely with network engineers to understand their challenges and build the software solutions that empower them. Ensure the reliability, scalability, and performance of the automation platform through rigorous testing and robust engineering practices. What you'll bring: A strong software engineering background with a proven track record of building and owning complex, distributed systems. Expert-level proficiency in Go and/or Python for systems development. Deep understanding of Linux/UNIX operating systems. Solid computer science fundamentals, including data structures, algorithms, and distributed systems design. Familiarity with computer networking concepts (TCP/IP, BGP, DNS) and a genuine interest in solving networking challenges through software. Experience building automation frameworks, SDN controllers, or large-scale infrastructure management tools is a significant plus. A bachelor's, master's, or PhD in Computer Science or a related technical field. #J-18808-Ljbffr