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
AWSDiverse 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.
- 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
- Experience programming with at least one software programming language
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 165,200.00 - 223,600.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
USA, TX, Dallas - 143,700.00 - 194,400.00 USD annually
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually