Senior Software Engineer, Redshift Data Management (Level 6)
Amazon.com
Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are looking for an innovative engineer with passion to independently design and analyze complex system software and help shape the future of Redshift.
Key job responsibilities
- Translate functional and technical requirements into detailed architecture.
- Design, implement and deliver state-of-the-art distributed, high-performance data management processing algorithms and solutions.
- Deploy and monitor new features in a highly available and fault tolerant system running in the cloud.
- Collaborate with engineering teams and product managers to deliver and operate large scale, distributed services in the cloud.
- Participate in code and design reviews to maintain our high development standards.
- Mentor other engineers, define our technical culture, and help to build a fast-growing team.
About the team
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.
Our team consists of industry leading innovators, with multitudes of patents and research publications in this space. We are a fun-loving team, that is passionate about ideating, designing, delivering and operating data analytics services to delight customers with extreme performance and scalability.
We are open to hiring candidates to work out of one of the following locations:
Redmond, WA, USA
Key job responsibilities
- Translate functional and technical requirements into detailed architecture.
- Design, implement and deliver state-of-the-art distributed, high-performance data management processing algorithms and solutions.
- Deploy and monitor new features in a highly available and fault tolerant system running in the cloud.
- Collaborate with engineering teams and product managers to deliver and operate large scale, distributed services in the cloud.
- Participate in code and design reviews to maintain our high development standards.
- Mentor other engineers, define our technical culture, and help to build a fast-growing team.
About the team
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.
Our team consists of industry leading innovators, with multitudes of patents and research publications in this space. We are a fun-loving team, that is passionate about ideating, designing, delivering and operating data analytics services to delight customers with extreme performance and scalability.
We are open to hiring candidates to work out of one of the following locations:
Redmond, WA, USA
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