Software Development Engineer, AWS Field Experience

Amazon Inc.; Arlington (VA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon in Arlington, VA seeks a Software Development Engineer II for the AWS Field Experience Enablement Technology team. You will own backend and full-stack work across AI coaching, content enablement, and governance, delivering scalable services with AWS technologies.

You will ship rapidly in an AI-first process, mentor junior engineers, and collaborate with product and design to build a unified seller experience for external customers and AWS field teams.

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 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

Responsibilities

• Work on an AI learning, engagement, and coaching platform with real users across the AWS field.
• Build content enablement and governance capabilities: how field teams create, manage, find, and reuse trusted content at scale.
• Help power external customer engagement, delivering enablement content and experiences beyond internal field teams to customers.
• Ship in a fast-paced, AI-first development process, using tools like Kiro and Amazon Quick to accelerate design, coding, and delivery.
• Apply GenAI, voice, and agentic patterns to real problems: conversational coaching, dynamic scenario generation, assessment, search, and content reuse.
• Own services end to end on AWS-native infrastructure, with the autonomy to design, build, and operate what you ship.
• Build a unified, well-governed platform through clean APIs and shared services.
• Design and implement scalable, reliable backend services and APIs using AWS-native technologies (Lambda, DynamoDB, S3, API Gateway, ECS/Fargate, Step Functions).
• Build full-stack experiences spanning backend services and modern web and voice front ends.
• Build AI learning, coaching, and assessment capabilities: conversational and voice coaching, dynamic scenario generation, programs, and a unified model of the seller.
• Integrate enablement capabilities into one seller experience through clean APIs and shared services.
• Apply agentic and GenAI patterns (retrieval, embeddings, orchestration, tool and agent integration) to content generation, search, de-duplication, and summarization.
• Work in a fast-paced, AI-first development process, using tools like Kiro and Amazon Quick to accelerate design, implementation, and delivery.
• Own operational excellence for your services: monitoring, alarming, on-call participation, and continuous improvement of availability, latency, and cost.
• Write high-quality, well-tested, maintainable code, participate in design and code reviews, and mentor junior engineers.

Skills

OO design

Distributed systems

Software development

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Bachelor's degree in computer science or equivalent

Tools

C#

C++

Java

Perl

Job description

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Software Development Engineer, AWS Field Experience

Job ID: 10589259 | Amazon Web Services, Inc.

Build the AI-powered enablement experiences that help AWS field teams learn, practice, and engage customers with the right content at the right time. As an SDE II on AFX Enablement Technology, you will own backend and full-stack work across AI coaching and learning, content enablement and governance, and external customer engagement.

Key job responsibilities

• Work on an AI learning, engagement, and coaching platform with real users across the AWS field.
• Build content enablement and governance capabilities: how field teams create, manage, find, and reuse trusted content at scale.
• Help power external customer engagement, delivering enablement content and experiences beyond internal field teams to customers.
• Ship in a fast-paced, AI-first development process, using tools like Kiro and Amazon Quick to accelerate design, coding, and delivery.
• Apply GenAI, voice, and agentic patterns to real problems: conversational coaching, dynamic scenario generation, assessment, search, and content reuse.
• Own services end to end on AWS-native infrastructure, with the autonomy to design, build, and operate what you ship.
• Build a unified, well-governed platform through clean APIs and shared services.
• Design and implement scalable, reliable backend services and APIs using AWS-native technologies (Lambda, DynamoDB, S3, API Gateway, ECS/Fargate, Step Functions).
• Build full-stack experiences spanning backend services and modern web and voice front ends.
• Build AI learning, coaching, and assessment capabilities: conversational and voice coaching, dynamic scenario generation, programs, and a unified model of the seller.
• Integrate enablement capabilities into one seller experience through clean APIs and shared services.
• Apply agentic and GenAI patterns (retrieval, embeddings, orchestration, tool and agent integration) to content generation, search, de-duplication, and summarization.
• Work in a fast-paced, AI-first development process, using tools like Kiro and Amazon Quick to accelerate design, implementation, and delivery.
• Own operational excellence for your services: monitoring, alarming, on-call participation, and continuous improvement of availability, latency, and cost.
• Write high-quality, well-tested, maintainable code, participate in design and code reviews, and mentor junior engineers.

A day in the life

You start the day picking up a capability you own: a scenario-generation service for the AI coach, or an API that plugs an enablement capability into the seller experience. You pair with a product manager to sharpen requirements, then use AI-first tooling like Kiro and Amazon Quick to move from design to working code. By midday you are in a design review, discussing shared-service integration and how to preserve assessment rigor. In the afternoon you ship to production, check dashboards, and tune latency and cost. Your customers are AWS sellers and field teams; your stakeholders are product, design, and partner teams across AFX.

About the team

AWS Field Experiences (AFX) builds the products and platforms that power how AWS sales and field teams learn, plan, engage customers, and act on the right guidance at the right time. Within AFX, the Enablement Technology team owns the platforms that help field teams learn, create, manage, and distribute content and guidance at scale. Our culture is ownership-first and builder-friendly. We invest heavily in agentic and GenAI-powered experiences, with an AI learning, engagement, and coaching platform at the center: a single seller experience that brings learning, assessment, and coaching together around natural conversation. We work in an AI-first way and expect new engineers to help define what that looks like.

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 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

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

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, MA, Boston - 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.