Role at a glance
- Job function
-
Software Engineering & IT Full-Stack Engineering
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States New York, New York, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- Bachelor's
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Qualifications
Required
- 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 designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred
- 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
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
About the role
Original posting provided by amazon
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs. At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide transformative deals with industry leaders, and Private Pricing Programs & Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients.
Key job responsibilities
We're looking for a Software Development Engineer to join the Analytics & Insights team within AWS Global Deal Strategy & Programs (GDSP). In this role, you'll design and build scalable, AI-integrated analytics platforms and seller-facing tools that power data-driven decision making across AWS's global sales organization. You'll work across the full stack, from data pipelines and APIs to interactive dashboards and conversational AI agents, delivering solutions that serve thousands of AWS sellers, managers, and leaders. The ideal candidate is passionate about building at the intersection of data engineering and Generative AI, thrives in a fast-paced environment with high ownership expectations, and can translate complex business requirements into reliable, production-grade software. You'll partner closely with product, business , and sales teams to deliver tools that directly impact AWS's commercial motions.
Architect, design, and build scalable, integrated solutions for sales analytics and tooling used by teams with AWS globally
Develop AI-powered tools and conversational agents leveraging Generative AI, large language models, and Amazon Bedrock to automate seller workflows, surface data insights, and reduce manual operational overhead
Build and integrate MCP (Model Context Protocol) services that connect sales data to agentic AI experiences, enabling sellers to query data, generate reports, and take action through natural-language interaction
Design and implement intelligent automation using agentic frameworks to replace legacy, manual processes with self-service, AI-enabled tooling
Partner cross-functionally with technology teams, business intelligence, finance, and field operations to develop solutions integrated into end-to-end seller experiences
About the team
The GDSP 3PX Analytics & Insights (A&I) team is the centralized data engineering and analytics partner for AWS's Private Pricing organization. We own the end-to-end data platform from core data modeling and pipeline infrastructure to reporting artifacts and self-serve analytics providing data-driven support to Private pricing stake owners across AWS.
We are a high-ownership, fast-moving team consisting of PMT’s, Business intelligence Engineers, Data Engineers and Software development Engineers who thrive in ambiguity and deliver at pace. We manage a broad portfolio spanning multiple business verticals while maintaining a strong bar for data quality, operational rigor, and customer obsession. Our data ecosystem and insights are foundational to how Private Pricing programs are designed, measured, and evolved directly shaping the strategies that drive AWS's largest and most complex enterprise deals worldwide.
- 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 designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
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, 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.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Key job responsibilities
We're looking for a Software Development Engineer to join the Analytics & Insights team within AWS Global Deal Strategy & Programs (GDSP). In this role, you'll design and build scalable, AI-integrated analytics platforms and seller-facing tools that power data-driven decision making across AWS's global sales organization. You'll work across the full stack, from data pipelines and APIs to interactive dashboards and conversational AI agents, delivering solutions that serve thousands of AWS sellers, managers, and leaders. The ideal candidate is passionate about building at the intersection of data engineering and Generative AI, thrives in a fast-paced environment with high ownership expectations, and can translate complex business requirements into reliable, production-grade software. You'll partner closely with product, business , and sales teams to deliver tools that directly impact AWS's commercial motions.
Architect, design, and build scalable, integrated solutions for sales analytics and tooling used by teams with AWS globally
Develop AI-powered tools and conversational agents leveraging Generative AI, large language models, and Amazon Bedrock to automate seller workflows, surface data insights, and reduce manual operational overhead
Build and integrate MCP (Model Context Protocol) services that connect sales data to agentic AI experiences, enabling sellers to query data, generate reports, and take action through natural-language interaction
Design and implement intelligent automation using agentic frameworks to replace legacy, manual processes with self-service, AI-enabled tooling
Partner cross-functionally with technology teams, business intelligence, finance, and field operations to develop solutions integrated into end-to-end seller experiences
About the team
The GDSP 3PX Analytics & Insights (A&I) team is the centralized data engineering and analytics partner for AWS's Private Pricing organization. We own the end-to-end data platform from core data modeling and pipeline infrastructure to reporting artifacts and self-serve analytics providing data-driven support to Private pricing stake owners across AWS.
We are a high-ownership, fast-moving team consisting of PMT’s, Business intelligence Engineers, Data Engineers and Software development Engineers who thrive in ambiguity and deliver at pace. We manage a broad portfolio spanning multiple business verticals while maintaining a strong bar for data quality, operational rigor, and customer obsession. Our data ecosystem and insights are foundational to how Private Pricing programs are designed, measured, and evolved directly shaping the strategies that drive AWS's largest and most complex enterprise deals worldwide.
Basic Qualifications
- 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 designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred Qualifications
- 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
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
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, 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, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.