Software Development Engineer, Amazon Quick
Amazon
Seattle, Washington
Posted 2 days ago
Responsibilities
Primary Duties
- Translate functional and technical requirements into detailed architecture/design/working software solutions.
- Code and test system components; participate in code and design reviews.
- Demonstrate ownership of end-to-end code quality, system tests, functional tests, and integration.
- Partner/Collaborate across teams/roles to deliver results.
- Be responsible for overall system architecture, scalability, reliability, and performance.
Full Job Description
AWS Database Services And Analytics Team
Do you like building software from ground up? Do you want to revolutionize the way people manage, visualize and interact with large amounts of data? Come and join the AWS Database Services and Analytics team – the creators of Amazon QuickSight, Aurora, DynamoDB, Redshift, and Relational Database (RDS) services. We are always building something new and improving something we have built. Most recently, we launched Amazon Quick, a very fast, cloud-powered AI and business analytics service that makes it easy for everyone – regardless of their technical skill – to build visualizations, perform ad-hoc analysis and quickly get business insights from their data. As more data is being generated in the cloud and tens of thousands of customers migrating their on-premises data into the AWS cloud, Amazon QuickSight is positioned to change the business analytics. Regardless of whether the data is in Files (desktop or S3), SQL (MySQL, PostgreSQL, SQL Server, MariaDB), AWS data stores (Athena, RDS, RedShift, Aurora), or SaaS business applications (Salesforce), Amazon QuickSight makes it easy for our customers analyze and get insights instantly. Our mission is to devise new, innovative ways to simplify data management and analysis and get insights fast, and let our customers focus more on running their business using those insights, and not worry about infrastructure management. In Amazon Web Services (AWS), our mission is to provide customers with best in class data services in the cloud to store, query and analyze the enormous data sets that their businesses generate. We build distributed storage, index and query systems that are scalable, fault-tolerant, low cost, and easy to manage and use. These are exciting times in our space – we are growing fast, but still at an early stage and working on ambitious new initiatives where an engineer at any level can have significant technical and business impact. Our team pioneered Amazon RDS, Amazon DynamoDB, and Amazon Redshift. Each service changed the course of database history by bringing new and innovative features to our customers. You can read about how DynamoDB is the fastest growing service in AWS history at this link. And how Redshift is changing the course DW history here.
Key job responsibilities:
Do you like building software from ground up? Do you want to revolutionize the way people manage, visualize and interact with large amounts of data? Come and join the AWS Database Services and Analytics team – the creators of Amazon QuickSight, Aurora, DynamoDB, Redshift, and Relational Database (RDS) services. We are always building something new and improving something we have built. Most recently, we launched Amazon Quick, a very fast, cloud-powered AI and business analytics service that makes it easy for everyone – regardless of their technical skill – to build visualizations, perform ad-hoc analysis and quickly get business insights from their data. As more data is being generated in the cloud and tens of thousands of customers migrating their on-premises data into the AWS cloud, Amazon QuickSight is positioned to change the business analytics. Regardless of whether the data is in Files (desktop or S3), SQL (MySQL, PostgreSQL, SQL Server, MariaDB), AWS data stores (Athena, RDS, RedShift, Aurora), or SaaS business applications (Salesforce), Amazon QuickSight makes it easy for our customers analyze and get insights instantly. Our mission is to devise new, innovative ways to simplify data management and analysis and get insights fast, and let our customers focus more on running their business using those insights, and not worry about infrastructure management. In Amazon Web Services (AWS), our mission is to provide customers with best in class data services in the cloud to store, query and analyze the enormous data sets that their businesses generate. We build distributed storage, index and query systems that are scalable, fault-tolerant, low cost, and easy to manage and use. These are exciting times in our space – we are growing fast, but still at an early stage and working on ambitious new initiatives where an engineer at any level can have significant technical and business impact. Our team pioneered Amazon RDS, Amazon DynamoDB, and Amazon Redshift. Each service changed the course of database history by bringing new and innovative features to our customers. You can read about how DynamoDB is the fastest growing service in AWS history at this link. And how Redshift is changing the course DW history here.
Key job responsibilities:
- Translate functional and technical requirements into detailed architecture/design/working software solutions.
- Code and test system components; participate in code and design reviews.
- Demonstrate ownership of end-to-end code quality, system tests, functional tests, and integration.
- Partner/Collaborate across teams/roles to deliver results.
- Be responsible for overall system architecture, scalability, reliability, and performance.
How to Apply
$90
/ hour
Amazon pays $90 for Software Engineer in Seattle, Washington, with most salaries ranging from $70 to $121. Pay can vary based on role, experience, and local cost of living.
Median
$90
Low
$70
High
$121
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