Alexa+ is Amazon's next-generation AI-powered personal assistant, built on large language models to deliver natural, conversational, and context-aware experiences for hundreds of millions of customers worldwide. We are building new services and experiences for Alexa+ customers from the ground up, and we're looking for experienced, generative AI-savvy Software Development Engineers to join us.
In this role, you will design, build, and operate Tier-1 cloud services that enable real-time experiences with hundreds of millions of devices and customers. You'll partner with engineers across Alexa+ to tackle complex technical challenges, drive innovation, and deliver experiences that redefine what a personal assistant can do.
Why You'll Love It Here
- Unprecedented technical challenges: You'll work on problems at a scale and complexity few teams encounter. We don't just build AI products; we use generative AI extensively in our own engineering practices, keeping you at the forefront of the field.
- Motivated, collaborative team: Join a team of passionate engineers who support each other, share knowledge freely, and celebrate wins together.
- Greenfield opportunity: We're building from the ground up, giving you the chance to shape architecture, tooling, and culture from day one.
- World-changing impact: Your work will directly shape how hundreds of millions of customers interact with their personal assistant every day.
Key job responsibilities
- Design and implement highly available, scalable cloud services in Rust and Java
- Build and operate Tier-1 services at massive scale
- Solve novel and complex distributed systems challenges — from low-latency communication to fault-tolerant architectures
- Leverage generative AI extensively in your day-to-day development workflow to accelerate delivery and improve code quality
- Collaborate with cross-functional engineering teams across Alexa+ to define technical direction and deliver customer-facing features
- Contribute to a culture of operational excellence, including on-call support, monitoring, and continuous improvement
