In this role, you'll design and ship platform features end-to-end while working closely with enterprise customers to understand how they integrate AI capabilities with their existing infrastructure. You'll build proof-of-concepts in customer environments, help customers optimize their integration architecture, and turn those learnings into reusable platform capabilities that scale across verticals. Your code ships to production. Your design decisions are informed by real-world constraints. The solutions you build for one customer become the features every customer uses. We believe this is how engineering evolves - and we're already seeing it happen here.
We're a small, fast-moving team building AI-powered solutions at the intersection of Alexa AI capabilities and AWS cloud services. Our customers span healthcare, energy, retail, and insurance - and they're deploying in environments where the integration challenges are real and the feedback loops are immediate.
Key job responsibilities
- Work as a full-stack software/product engineer, designing and building end-to-end platform features across backend services, frontend experiences, and AWS infrastructure
- Work directly with enterprise customers to understand integration challenges, build proof-of-concepts, and validate platform capabilities in their environments
- Turn patterns from customer engagements into reusable platform features - solutions inspired by one customer's needs, built to serve many
- Own your services from design through production: write clean, maintainable code, drive engineering best practices through code reviews, and operate what you ship
- Write design documents, lead technical reviews, and make architectural trade-offs with real-world constraints
- Collaborate with Solutions Architects, product managers, and partner engineering teams to scope work, define requirements, and shape the platform roadmap
- Mentor teammates, participate in hiring, and improve team development and operational processes
- Troubleshoot production issues, contribute to on-call rotations, and continuously improve system reliability
A day in the life
As an SDE on the Alexa Enterprise team, you'll split your time between building platform software and engaging directly with customers deploying it. On any given day, you might be implementing a new integration abstraction informed by a customer's auth challenge, whiteboarding architecture with a customer's engineering team, reviewing a teammate's design doc, or shipping a feature that unblocks the next pilot deployment. You'll collaborate closely with Solutions Architects and product managers, ship frequently, and see your work validated in customer environments quickly. You'll also contribute to operational health and team processes - this is a small team where engineers own outcomes end-to-end.
Some travel may be required for on-site customer workshops and integration sessions.
About the team
The Alexa Enterprise team builds AI-powered solutions for businesses. We work with enterprise customers across healthcare, energy, retail, and insurance to deploy solutions that transform operations. Our team operates at the intersection of Alexa AI capabilities and AWS cloud services, partnering closely with AWS sales, product, and specialist teams to deliver customer outcomes. Engineers on this team have real ownership - from customer discovery through production - and the opportunity to shape a platform in its early stages.
BASIC QUALIFICATIONS
- 4+ 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
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience with real-time streaming, audio, or IoT systems
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, Seattle - 143,700.00 - 194,400.00 USD annually
