Software Development Engineer, IDEAS

Amazon Web Services has been the global leader in cloud computing since 2006, providing a robust platform that powers hundreds of thousands of businesses in over 190 countries.

Developers all over the world rely on our storage, compute, and virtualized services. The Sales, Marketing and Global Services Operations – IDEAS team’s success depends on delivering trusted, extensible, and high‑quality intelligence that empowers our go‑to‑market teams and enhances customer engagement at scale.

We’re looking for a Software Development Engineer to design and deliver solutions that combine distributed big data technologies and agentic AI development. We’re building solutions to achieve amazing feats with data, to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer worldwide.

• Design, develop, and maintain scalable data ingestion solutions to solve complex and ambiguous data challenges for large‑scale datasets
• Build highly available, secure, distributed systems in microservices, container, and distributed cluster‑compute architectures with comprehensive data validation frameworks
• Develop serverless applications using AWS Lambda, S3, Cloud Watch, and Glue services while implementing infrastructure as code through AWS CDK for automated deployment and monitoring
• Apply Machine Learning to solve challenging data problems at scale
• Work with AWS technologies such as Glue, EMR, S3, DynamoDB, Redshift, Elastic Search, Lambda, SQS, SNS, API Gateway and more
• Apply software development best practices in terms of quality and security
• Utilize object‑oriented software design to build scalable, maintainable systems
• Contribute to planning, design, implementation, testing, operations, and process improvement as a member of a Scrum team
• Design data systems optimized for machine learning workflows, including feature stores, model training pipelines, and real‑time inference capabilities
• Partner with applied scientists and ML engineers to build robust data foundations for RAG systems, recommendation engines, and predictive models
• Play an instrumental role in defining system architecture, own and implement specific components, and help shape the overall user experience for a data‑focused product

• 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
• 1+ years of software development engineer or related occupational experience
• 1+ years of Object Oriented Design experience
• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

• 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 with Machine Learning and Large Language Model fundamentals, including architecture, training/inference life cycles, and optimization of model execution
• Knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit (Use the "Apply for this Job" box below). for more information.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

USA, WA, Seattle -  -  USD annually