Software Development Engineer, Query Processing AWS Analytics

Amazon Analytics is at the forefront of cloud data warehouse and data lake capabilities, serving thousands of enterprise customers who process exabytes of data for critical business decisions. The Query Processing team, a crucial component of Analytics data plane, is seeking a talented Software Engineer to join their mission-critical operations.

This role offers a unique opportunity to work on massive parallel execution engines within AWS Analytics, directly impacting how enterprises worldwide process and analyze their data. As part of the Utility Computing (UC) organization, you'll contribute to foundational services like S3 and EC2, while helping shape the future of cloud analytics.

The position combines technical depth with significant ownership and leadership opportunities. You'll be responsible for designing and implementing systems that scale across AWS's global infrastructure, working with cutting-edge technology in cloud computing. The role requires strong technical expertise in distributed systems, database technologies, and large-scale data processing.

Working at Amazon means joining a culture of innovation where your ideas can have global impact. The team emphasizes work-life harmony and provides comprehensive benefits including medical coverage, financial benefits, and career development opportunities. You'll be part of an inclusive environment that values diverse perspectives and experiences.

The position offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits and equity. This is an excellent opportunity for engineers passionate about building large-scale distributed systems and who want to work at the intersection of cloud computing and data analytics.

Key aspects of the role include architecting scalable solutions, mentoring team members, and driving technical decisions that impact AWS's analytics capabilities. You'll collaborate with talented engineers while having the autonomy to innovate and implement your ideas, all while working on technology that powers Fortune 500 companies and startups alike.