About the role
About Northwood Space: Northwood is on a mission to transform connectivity between earth and space and bring the
benefits of space to the masses through innovations in space communications technologies. If you are energized by building at a high-velocity company and seeing your work deployed in locations around the globe with real impact, we want you at Northwood. Role: Northwood Space is looking for a backend focused Staff Engineer to join our Software team In this role, you will lead the development of our cloud-based platform that manages global antenna scheduling, customer booking, and service provisioning. You will design and implement scalable systems for resource allocation, billing, and customer-facing APIs that enable seamless access to our space communication network. Your expertise in cloud architecture and distributed systems will be essential in creating reliable, performant services that handle complex scheduling constraints while delivering a simple customer experience.
Responsibilities : Design and develop Northwood's cloud-based scheduling and orchestration system for global antenna network access Build and maintain customer-facing APIs and interfaces for everything from scheduling to real time communications and data routing Design and implement Northwood's control and data planes, ensuring seamless integration across on-premises and cloud environments Develop billing and metering systems that accurately track resource usage and generate invoices Create orchestration systems to coordinate antenna operations across our global network Collaborate with Customers, network operations, and the larger software team to build a truly resilient global network Work with customers on defining secure and scalable interfaces for Telemetry, Tracking, and Control (TT&C) and payload data transfer, putting simplicity and extensibility first Basic
Qualifications: 7+ years of professional software development experience 3+ years building and scaling cloud-based services and APIs in production environments Experience with distributed scheduling systems, resource allocation, or booking platforms Proficiency in modern cloud infrastructure (AWS, Azure, or Google Cloud) Preferred
