DESCRIPTION

Come join a team of creative builders working on the future of data streaming as part of the Amazon Managed Streaming for Kafka (MSK) team!

We are seeking builders for our Amazon MSK service, a fully managed service that makes it easy for customers to build and run applications that use Apache Kafka to process streaming data. We are looking for engineers who are enthusiastic about data streaming, and are as passionate about contributing to open source as they are about solving real customers' business needs, at AWS scale.

As a member of the Amazon MSK team, you will be making contributions to the entire stack - the APIs and the workflows that make up the MSK service, the core Kafka platform, and stand-alone tools that make it easier for Kafka community to operate Kafka better. Upstream compatibility is a core tenet of MSK. Your code changes to the Kafka platform will be released back to open source. As a member of a new AWS service that builds on top of a popular open source technology, this is a unique opportunity to work on a team that straddles both worlds - open source and Amazon-internal software. You will design and build new features, make performance improvements, identify and investigate new technologies, prototype solutions, build scalable services, and test and review changes, to deliver an exceptional customer experience.

The ideal candidate has experience designing large-scale systems supporting millions of transactions per second, enjoys solving complex software problems, and possesses skills to innovate, design and solve problems at scale. Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm. Your responsibilities will include collaborating with other engineers to build a large scale AWS service, and work with senior leaders to define your team's roadmap, including identifying design and code changes needed in the underlying open source platforms.

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

BASIC QUALIFICATIONS

• 4+ years of professional software development experience
• 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Bachelor's degree in Computer Science, Electrical Engineering, or similar; or equivalent experience
• Several years experience in system software development and delivery
• Advanced software engineering skills, including the ability to write expert-level, maintainable, and robust code in C++ (preferred), Java, C, or similar
• Strong Computer Science fundamentals in algorithms and data structures
• Working experience with high concurrency, multithreaded and distributed systems

PREFERRED QUALIFICATIONS

• Experience making contributions to opensource platforms.
• Experience building high volume and highly scalable online services.
• Experience operating highly available services.
• Experience with distributed systems, consistent hashing, distributed locking, check-pointing, and load balancing.
• Working knowledge of Hadoop, MapReduce, Kafka, Kinesis, Spark or other Big Data processing platforms.
• Ability to excel in a fast-paced, startup-like environment.
• Experience mentoring other engineers.
• Strong problem solving ability and object-oriented design skills.

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.