AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for their cloud services.
Looking to be part of a team building hyperscale database services in the cloud Do you want to revolutionize the way people manage vast volumes of data in the cloud where you have direct and immediate impact on hundreds of thousands of users who use AWS database services
Amazon Aurora is an exciting area of innovation for AWS and the PostgreSQLcompatible edition of Amazon Aurora is built on top of one of the most active open source communities PostgreSQL. The PostgreSQLcompatible version of Amazon Aurora is a relational database which offers enterpriseclass performance availability and durability to our customers along with the management benefits of RDS. Amazon Aurora is one of the fastest growing businesses within Amazon Web Services.
Aurora Limitless Database takes the conventional Amazon Aurora further for scalability and high write through put. Current data generation and data processing requires a database that can scale virtually to any limits and give a high write through put. Limitless database exactly covers this aspect of the organisations needs with the obvious benefit of paywhatyouuse model.
To learn more about Limitless database please refer to
If you are an engineer and interested in building hyperscale distributed database services in the cloud have direct and immediate impact on hundreds of thousands of users who are using AWS database services come and join the excited team.
Amazon Aurora PostgreSQL Limitless team is looking for an engineer to work and collaborate with other engineers database engineers (DBEs) stakeholders and build the high quality distributed databases for cloud. An ideal candidate for this position will be an engineer who has extensive experience working on designs and implementation of highly available communication layer components and protocols experience with building scalable components in distributed systems and knowledge of distributed databases.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
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Work/Life Balance
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Amazon Aurora team with in AWS organisation builds databases for cloud environments. The team is spread across the world and works in harmony to create solutions that solves customers real world problems. The team is at the centre of building a highly distributed and scalable database for cloud and work with Product Management DBEs and other engineers to build the high quality product. With AWS off course the benefit on working on big scale projects having all sides of product development covered and making a big impact come automatically. The team is highly dynamic and helpful to each other to bring the best out of the team work.
7 years of noninternship professional software development experience
7 years of programming with at least one software programming language experience
5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience as a mentor tech lead or leading an engineering team
5 years of building communication layers and protocols within distributed systems
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Building scalable and highly available components in distributed systems
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