Sr. Software Development Manager, EMR

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.

AWS Data Processing and Experience group (consisting of EMR, Glue, Managed Apache Airflow) provides rapidly growing, industry acclaimed cloud services in areas of big data platforms to data analytics to operational databases. The group is at the forefront of innovation in these areas producing world-class cloud services such as Glue, EMR, Athena and many more.

We are looking for a Sr. software development manager to lead development of technical stack to support all our (Big) Data processing services. We will be unifying control plane and build unified resource management that will be leveraged by multiple AWS services for offering consistent data engineering, data preparation, and data integration experience. This role requires ownership, autonomy, and an ability to deliver results. In this role you will be able to build teams from scratch and manage through multiple leaders. You should be a self-starter with a bias towards independent problem solving. Clear communication and prioritization will be important as you partner with Product Management to plan, and deliver experiences for Data processing. You have a passion for managing complex technology projects and helping the team make strong business judgments.

How do you know if you are a good fit for us? You are fascinated by the challenge of building innovative, global-scale software systems. You value the purposefulness and connect to customers in every action, decision and code delivered. You are inspired by difficult problems and by quickly finding solutions that will stand the test of time. You relish the opportunity to take active ownership for building and operating a service that delights customers. You have a passion for open-source software and relish the opportunity to engage and build software together.

Data Processing is a fully managed service offering next-generation data engineering and data integration features at massive scale. Data Processing simplifies and automates the difficult and time consuming data discovery, conversion, mapping, and job scheduling tasks and is fully serverless. We are 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 teams owns both the product & backend and it's a unique experience.

1. Be part of big data revolution in cloud
2. Be catalyst to deliver a truly disruptive product(s) that are growing rapidly
3. Learn how to build & operate distributed systems at massive scale
4. Solve unique and first-order problems in areas of Big Data, serverless computing, Spark, Distributed Systems and Machine Learning
5. You get to define, build, own, and run a service in high growth environment
6. Influence and build products that will leverage scale of resources to run serverless big data workloads

• Passionate in building large scale distributed systems
• Thrive in culture of ownership, delivery and bias for action
• Fast pace environment energizes you to be at your best
• Innovate and invent in agile and collaborative environment
• Curious and eager to learn to expect more of you and others

1. Translate functional and technical requirements into detailed architecture, design and extensible code
2. Technically lead a team of smart engineers on complex projects
3. Be an advocate of industry best-practices to produce reliable, fault-torrent and dependable code
4. Code and test complex system modules; develop and leverage frameworks to be effective and efficient
5. Participate in architecture, design and code reviews to maintain our high development standards
6. Own system architecture, scalability, reliability, and performance
7. Collaborate and influence other teams to deliver and operate large scale, distributed services in the cloud
8. Mentor other engineers, defining our challenging technical culture, and helping to build a fast-growing team

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

- Experience partnering with product and program management teams
- Experience designing and developing large scale, high-traffic applications

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.