How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive, innovative technology, reinventing an industry? Are you passionate about building cutting-edge software solutions that leverage the power of Generative AI? Do you want to be at the forefront of transforming how Amazonians work and collaborate? If so, we want to hear from you!
We are working on revolutionizing the way Amazonians work and collaborate. Our team is on a mission to transform productivity through the power of advanced generative AI technologies. In pursuit of this mission we are seeking a motivated Software Development Engineer to join our team. As a Software Development Engineer, you'll play a crucial role in designing, developing, and implementing the software infrastructure that supports our advanced AI models. You'll work on creating scalable, efficient, and secure systems that integrate seamlessly with Amazon's existing tools and services. This role involves close collaboration with machine learning engineers, data scientists, and UX/UI designers to create a seamless and context-aware AI solution that enhances productivity across various user personas within Amazon.
Technical Skills Needed:
* Strong proficiency in one or more programming languages such as Java, Python, Typescript, and/or React
* Extensive experience with backend development and RESTful API design
* Solid understanding of distributed systems and microservices architecture
* Experience with cloud platforms, particularly AWS services
* Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
* Understanding of CI/CD pipelines and DevOps practices
* Knowledge of security best practices and data privacy considerations
* Basic understanding of machine learning concepts and their software engineering implications
Key job responsibilities
1. Design and implement robust, scalable architectures for AI-powered applications.
2. Develop high-performance backend services to support AI model integration and data processing.
3. Collaborate with ML engineers and Data scientists to integrate AI models into the software stack effectively.
4. Create and maintain RESTful APIs for seamless interaction between AI models and front-end applications.
5. Partner with UX/UI designers to understand user workflows and translate them into intuitive and user-friendly features
6. Leverage AWS services to build and deploy cloud-native applications.
7. Ensure the implementation of robust security measures and compliance with data privacy regulations.
8. Conduct thorough code reviews and support other engineers on the team to maintain high code quality standards.
9. Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.
