AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll 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.
The Data Processing team is building the next generation serverless analytics platform, with a performant dataplane. We are scaling the backend infrastructure to enable super-low latencies for workloads at a massive scale like never seen before. The team owns both the product & backend, offering a unique experience.
Top reasons to join our team:
- Be part of big data revolution in cloud
- Be catalyst to deliver a truly disruptive product(s) that are growing rapidly
- Learn how to build & operate distributed systems at massive scale
- Solve unique and first-order problems in areas of Big Data, serverless computing, Spark, Distributed Systems and Machine Learning
- You get to define, build, own, and run a service in high growth environment
- Influence and build products that will leverage scale of resources to run serverless big data workloads
Responsibilities:
- Translate functional and technical requirements into detailed architecture, design and extensible code
- Technically lead a team of smart engineers on complex projects
- Be an advocate of industry best-practices to produce reliable, fault-torrent and dependable code
- Code and test complex system modules; develop and leverage frameworks to be effective and efficient
- Participate in architecture, design and code reviews to maintain our high development standards
- Own system architecture, scalability, reliability, and performance
- Collaborate and influence other teams to deliver and operate large scale, distributed services in the cloud
- Mentor other engineers, defining our challenging technical culture, and helping to build a fast-growing team
This position involves on-call responsibilities, typically for one week every two months. We work to ensure that our systems are fault tolerant and resolve root causes to prevent repeated issues.