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 - Atlas 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 Atlas team builds and operates the foundational customer intelligence that powers AWS Sales field. Atlas integrates external firmographic data with internal AWS datasets to create a unified, scalable view of customers and accounts. This intelligence layer is critical to enabling the Field organization with accurate insights , improved account targeting and better customer engagement at scale.


We’re looking for a Software Development Engineer to design and deliver solutions that combine machine learning, distributed big data technologies, and web application/service 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

A day in the life
The IDEAS (Insights, Data Engineering, Econometrics, Analytics & Science) organization empowers the business with the data, science, infrastructure, and insights needed to make informed decisions. We deliver foundational data sets that drive business planning and execution, econometric and data-science models, and core analytics to run our operations. Our team also builds and maintains robust data infrastructure and governance frameworks, along with intelligent conversational agents that give business users an intuitive way to explore business health and key metrics.

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.