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Join an innovative team at a leading company in AI and cloud computing. As a software engineer, you'll design and implement low-latency data systems for Amazon QuickSight, contributing to the evolution of business intelligence tools. With a focus on collaboration and technical leadership, you'll play a vital role in shaping product features and driving performance enhancements.
Are you passionate about building low-latency, data-intensive systems? Do you enjoy building tools that help users manage, visualize, and interact with data? Join AWS QuickSight and be part of this unique opportunity in the new GenAI era.
Amazon QuickSight enables customers to find data insights through dashboards, reporting, and Q (our GenAI capabilities). Our mission is to increase business user productivity by bringing data, system, business intelligence, and GenAI capabilities together, with high performance, high scalability, and low cost.
This role focuses on building QuickSight SPICE, our analytical engine that answers customer queries with speed and scale. You will build components across query engine, semantic layer, and distributed systems. You will have direct impact on our technical direction and product roadmap by working closely with customers and teams. You will partner with talented people and have plenty of opportunities to learn, grow, and lead.
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
Key job responsibilities
- Experienced with building low-latency and intensive data systems, such as database query engines, from scratch.
- Experienced with designing and tuning algorithm and system performance optimization that matters.
- Be responsible for overall system architecture, scalability, reliability, and performance.
- Demonstrated strong cross-team and cross-org collaboration skills to drive results.
- Experienced with leading a small team to deliver a significant feature. Be able to mentor other engineers, define the technical culture, and help grow the team.