Front-End Engineer II, Leo Network Observability (L5)

• Contribute to designing and delivering modern, flexible, scalable user interfaces for monitoring and diagnosing satellite constellations network issues.
• Work with peer teams and customers to design and develop visualization solutions that fulfill the business needs.
• Utilize AWS and other Amazon technologies to deliver highly-available solutions.
• Build and contribute to reusable UI components and design-system patterns that keep the experience consistent across surfaces.
• Own the end-to-end quality of the features you deliver: write unit, component, and integration tests, and validate behavior across browsers and devices.
• Participate actively in code and design reviews, and contribute to technical design discussions within your team.
• Provide operational support for your team’s services, helping identify and resolve the root cause of issues.

A day in the life You will collaborate with various stakeholders to create the world’s most innovative products. You will understand operational challenges and existing blind-spots for network observability and be part of a team of scientists and engineers developing tools that fill these gaps. You will join our development and integration efforts and deliver high qualify software for production environments.

2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience

• 1+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
• Experience using JavaScript frameworks such as angular and react

Preferred Qualifications

• 1+ years of agile software development methodology experience
• Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually

Amazon Leo is Amazon’s Low Earth Orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

The Leo Network Observability team designs, implements, and operates network visualization, monitoring, and analytics services for Leo Network Operations. Our scope spans satellites, customer terminals, gateways, and terrestrial network infrastructure that connects into public and private networks. We deliver user interfaces, agentic AI agents, temporal graph neural network outage prediction, and data streaming solutions.

We are looking for a talented FEE II to help design and develop Network Observability solutions for operating our advanced global telecom service via space and terrestrial networks. As a front-end engineer on this team, you will collaborate with a mix of software and network engineers and scientists to create user experiences that increase our end-to-end ability to deliver high quality, secure and fault tolerant software used in Low Earth Orbit (LEO) satellites, ground gateways, and Consumer/Enterprise class customer terminals. The candidate must have expertise with modern web development practices and will have demonstrated the capability to deliver best-in-class user experiences that solve some of today’s hardest visualization challenges.