Software Engineer, GenAI Platform for Data Centers

Amazon Inc.; Bellevue (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon Data Services, Inc. is seeking a Software Development Engineer for the Eva Development Team in Bellevue, WA. You will contribute to AI/ML platform features and end-to-end delivery, collaborating with cross-functional teams to deploy scalable solutions for data center operations.

The role emphasizes staying current with AI/ML advancements and applying new techniques to optimize workflows, with a strong focus on delivery and reliability in a fast-paced cloud environment.

Qualifications

• 3+ years of non-internship professional software development experience.
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: Java, C++, C#, or Perl.

Responsibilities

• Design and develop AI/ML platform features and solutions.
• Own end-to-end delivery of features, including AI integrations and deployment pipelines.
• Collaborate with senior engineers to integrate ML solutions into existing DC workflows, ensuring system quality and scalability.
• Write clean, well-tested, and maintainable code while improving GenAI development and deployment processes.
• Participate in technical design discussions and code reviews with a customer-focused perspective.

Skills

Software dev experience

Java/C++/C#

Large-scale systems

Education

Bachelor's degree in CS/Engineering

Job description

Amazon Data Services, Inc. is seeking a Software Development Engineer for the Eva Development Team in Bellevue, WA. You will contribute to AI/ML platform features and end-to-end delivery, collaborating with cross-functional teams to deploy scalable solutions for data center operations.

The role emphasizes staying current with AI/ML advancements and applying new techniques to optimize workflows, with a strong focus on delivery and reliability in a fast-paced cloud environment.