Entry Level Software Development Engineer Jobs in Washington

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 (GTM) teams and enhances customer engagement at scale. The IDEAS team builds and operates the foundational customer intelligence that powers AWS Sales field.
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 in the world, to the fullest.
Key job responsibilities
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, CloudWatch, 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, ElasticSearch, 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
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector

The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.