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Distributed data management is at the heart of Amazon Redshift data analytics services and is responsible for delivering ultra-fast and highly scalable performance. We are building and operating large scale, distributed, fault-tolerant data and transaction management solutions using specialized data structures, distributed consensus algorithms and many other advanced technologies. We are working with AWS platform teams in shaping requirements and solutions for next generation platforms to run database/analytics applications.
Key job responsibilities
• Design, implement and deliver state-of-the-art distributed, high-performance data and transaction management processing algorithms and solutions.
• Deploy and monitor new features in a highly available and fault tolerant system running in the cloud.
• Currently enrolled in or completed a Master’s Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields.
• To qualify, applicants should have earned a Master’s degree between May 2023 and September 2024.
• Possible start dates for this role are between May 2024 to October 2024.
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• Internship, project, or academic experience in at least one of the areas: internals, kernel, OS/storage systems, job scheduling, resource management, file systems, search, or performance engineering
• Pursuing PhD Degree with focus on Systems / Information Theory, Databases, Computer Science, Computer Engineering, or related
• Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis
• Strong software development skills
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