The Device Software and Services organization builds foundational capabilities used by Amazon Devices, including Kindle, Fire Tablets, Echo, Fire TV, and many more. The Device Diagnostics and Troubleshooting team builds state-of-the-art observability, diagnostics, and troubleshooting systems leveraging Generative AI to enable automated proactive detection and rapid root cause identification.

As a Senior SDE, you will be a technical leader on the engineering team and will set the technical direction for building highly performant, scalable, and extensible software applications and services. You will partner with other engineering leaders and product managers to shape the engineering roadmap for the team. You will help guide and mentor other engineers and foster a team culture that focuses on engineering and operational excellence. As a technical leader, you will also establish architectural principles, provide input into selecting design patterns, and mentor team members on their appropriate application.

We're looking for customer experience-minded entrepreneurs who are passionate about innovating on behalf of customers, demonstrate a high degree of technical product ownership, and want to have fun while making history. It is still Day 1 in the Devices business, and we are seeking a creative problem-solver with exceptional judgment and the ability to deliver business results under ambiguous circumstances and tight timelines

Key job responsibilities

• Architect and deliver complex software systems that align with Amazon's engineering standards and business objectives
• Drive technical decisions and design reviews that impact multiple services or teams within the organization
• Lead development of critical features while mentoring junior engineers in technical best practices and engineering principles
• Establish and maintain robust monitoring, metrics, and operational excellence practices for high-availability systems
• Define and enforce code quality standards, testing strategies, and documentation requirements across projects
• Proactively identify and resolve complex technical challenges while implementing preventive measures
• Participate in building high-performing teams through technical interviews and making data-driven hiring recommendations