Software Dev Engineer II, FireTV Devices, Content & Advertising

We are the changing the way customers consume the content on their Fire TV, Fire Tablet, and Alexa devices. Join us to positively impact the lives of millions of Amazon customers and add value to business.

You’ll be at the forefront of designing technology that makes entertainment seamless and enjoyable. Our team is reimagining how people interact with content across Fire TV and Fire Tablet, creating intuitive experiences that become an integral part of daily life. By leveraging advanced technologies and collaborative innovation, you’ll solve complex challenges that directly impact how millions of customers enjoy their favorite shows and movies., * Design and implement scalable full-stack technologies supporting millions of global users

• Create innovative customer experiences utilizing Android, cloud services, and frontend/backend technologies
• Collaborate with Product, UX, and engineering teams to define product
• Develop high-quality software within a dynamic, team-oriented Agile environment
• Architect solutions that enhance user interaction and entertainment discovery

A day in the life

Your day will be filled with exciting technical challenges and collaborative problem-solving. You’ll work alongside talented engineers, designing sophisticated software solutions that power user experiences across multiple platforms. Expect to dive deep into Android technologies, cloud services, and full-stack development, transforming innovative concepts into delightful user interfaces that millions will interact with daily.

• Bachelor’s degree in computer science or equivalent
• Experience programming with at least one software programming language
• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, * 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution