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Key job responsibilities
* Design and develop high availability system diagnostics for Amazon Robotics using AWS technologies
* Work with our partners to integrate new data sources into our diagnostic platform
* Lead discussions with our support customers to understand and fill gaps in our tools
* Participate in code reviews, design meetings, integration testing, and production rollout
* Establish best practices to raise the quality bar for our products
A day in the life
As a Software Development Engineer II on the Support Automation Systems team, you will get to work with a wide range of customers and stakeholders in order to ensure smooth operation of one of the largest robotic systems in the world. You will be empowered to find and solve the problems our customers are facing. You will lead the design and development of our diagnostic platforms for our support teams, enabling them to manage and maintain the complexities of the Amazon Robotics system. You will drive continuous improvement of the platforms you build, ensuring a highly available, scaleable solution.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Professional experience using AWS technologies such as Lambda, SQS/SNS, S3, and DynamoDB
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 2+ years of building complex software systems experience
- 2+ years of professional Java enterprise development
- Experience using AWS CDK to develop cloud-based solutions
- Familiarity with Large Language Models (LLMs)
- Familiarity with basic Machine Learning concepts and tools
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