Software Development Engineer, Kinesis Data Streams

Leading brands like Epic Games, Lyft, AirBnB, and Vanguard use Amazon Kinesis Data Streams as their foundation for real-time streaming data. With Amazon Kinesis Data Streams, customers process Gigabytes per second of real-time user engagement data for gaming and marketing analytics, build real-time IoT sensor data analytics solutions, analyze millions of financial transactions in real time, perform network intrusion detection for security analytics, transform and load logs into data lakes, and much more. These customers choose Kinesis Data Streams because it is a fully-managed service that makes real-time streaming data ingestion and processing, reliable, easy, and at low cost. Tens of thousands of customers worldwide, ranging from large commercial enterprises, federal and state governments, regulated industries like healthcare and finance, to small start-ups have moved from batch to streaming with Amazon Kinesis Data Streams, and we are just getting started.

As a member of our team, you"ll work alongside other engineers and leaders, refine product requirements with product and program managers, define architecture, and be a leader in the implementation and launch of software.

All team members actively participate in product definition, technical architecture review, iterative development, code review, and operations. As part of this, you"ll find knowledge-sharing, mentorship and other career-advancing resources. You will also have the opportunity to interact with customers to ensure their needs are met -- clear, professional communication with teammates and customers is an important part of the job.

Key job responsibilities

Key job responsibilities

• You solve difficult problems, applying appropriate technologies and best practices.
• You work with your team to invent, design and build software that is stable and performant.
• You are proficient in a broad range of design approaches and know when it is appropriate to use them (and when it is not). Your solutions are pragmatic.
• You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand.
• You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity).
• You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies.
• You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.)
• You work on project ideas with customers, stakeholders, and peers