Amazon AQUA, Advanced Query Acceleration, is a new service offering to the Amazon RedShift data warehouse solution. AQUA is designed from the ground up to enhance performance of analytic query workloads. AQUA achieves high performance by using a highly distributed platform built of the latest generation hardware, specialized Amazon hardware accelerators, and advanced caching techniques. AQUA's obsession with performance allows customers to experience significantly higher throughput accelerating their ability to answer business questions with more data.
To explore more about Amazon AQUA, visit https://www.zdnet.com/article/amazon-redshift-turns-aqua .
We are looking for software engineers who have experience with C++, a good understanding of modern data structures and algorithms and has experience with distributed systems or high performance computing with a desire to apply those skill sets to core database engine. The candidate will help participate in design, development and testing of core AQUA query engine architecture including distributed storage layers, file systems, customized Linux kernels, data management and processing schedulers for AWS AQUA.
Further, we are looking for engineers with customer success focus and the ability to convert their experiences into visionary ground-breaking product enhancements. Finally, the engineer should have the desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
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Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
NOTE: We do have openings in East Palo Alto(San Francisco Bay Area) and Arlington, VA. Please discuss with recruiter for location choices and possibilities.
• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Strong knowledge of data structures and algorithms
• 4+ years experience writing large scale distributed systems in C++
• Experience in kernel, file systems, system software and distributed systems programming
• Strong understanding of system performance and scaling
• Ability to drive tasks to completion and take ownership of projects
• Ability to work in a fast paced and agile development environment
• Possess excellent communication, sharp abilities, and proven design skills
• Contributor to open source file system, kernel, and analytics projects
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us