Sr. Software Engineer, Amazon QuickSight

The Agentic AI organization focuses on providing the scale, flexibility and value that customers and partners require to innovate with confidence and build agents that are efficient and trustworthy. The team enables customers to transform their operations, automate complex processes, and unlock actionable insights from their data assets. The organization stays at the forefront of AI innovation, helping customers navigate the rapidly evolving landscape of Agentic AI, and other emerging technologies to create sustainable competitive advantages.

Amazon QuickSight is bring new Agentic AI capabilities that power data-driven organizations with unified business intelligence (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, pixel-perfect reports, embedded analytics, and natural language queries. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Next, we are bringing together new Q Business Generative AI capabilities inside of QuickSight to make it the most compelling experience for business users.

In this role with Amazon Q in QuickSight, you will enhance and build new foundational components and user experiences to enable integrating generative AI capabilities with existing features for business users. This role offers wide scope, autonomy, and ownership. The ideal candidate will bring deep technical and leadership experience to work with team of stellar engineers to drive multi-year design and architecture decisions. If this sounds like a product you’ve been working towards and would like to deliver, please contact us today, and let’s talk about how you can be a part of it.

We are looking for a Sr. SDE with a strong sense of ownership and a passion for delivering creative solutions for complex problems on an unprecedented scale.

As a Senior Software Development Engineer on the Amazon Q Business team, you will play a vital role in designing, developing, and optimizing the platform's core components. Your work will ensure high performance, scalability, and reliability while directly impacting how businesses leverage AI for enhanced operations and data-driven decision-making.
Join us in shaping the future of work with Amazon Q Business and be part of a team that is making significant strides in the generative AI landscape for enterprise productivity.

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud