Solutions Developer, Prototyping and Customer Engineering (PACE)

📍 Job Overview

Job Title: Solutions Developer, Prototyping and Customer Engineering (PACE)

Company: Amazon

Location: Herndon, Virginia, United States

Job Type: Full-Time

Category: Customer Engineering / Solutions Development

Date Posted: April 28, 2026

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• This role is deeply rooted in hands-on technical execution, focusing on building and prototyping innovative solutions for customers, with a strong emphasis on emerging technologies like AI, Generative AI, and Serverless architectures.

• It involves significant customer-facing engagement, requiring the ability to translate complex business challenges into tangible technical prototypes and validate their feasibility within cloud environments, particularly AWS.

• The position demands a builder's mentality, with a focus on rapid iteration, experimentation, and the creation of reusable components and reference architectures to accelerate customer adoption and success.

• Success in this role is measured by the ability to drive revenue growth and strategic outcomes for customers by demonstrating the technical and business value of proposed solutions through working prototypes.

📝 Enhancement Note: While not a traditional Revenue Operations or Sales Operations role, this position heavily involves customer success engineering, technical solution development, and influencing customer adoption, which are critical GTM (Go-To-Market) enablers. The "PACE" team's focus on prototyping and customer engineering directly supports sales enablement and customer retention by showcasing the art of the possible with AWS technologies. Therefore, it's positioned within a GTM-adjacent engineering category.

📈 Primary Responsibilities

• Design, build, and test innovative prototypes and early-stage solutions for customers, leveraging a wide range of AWS services and emerging technologies such as Machine Learning, Agentic Design, Serverless, and multi-modal Generative AI.

• Collaborate closely with customers and internal AWS account and service teams to understand business problems, define technical requirements, and architect scalable, flexible, and resilient solutions.

• Act as a trusted technical advisor and customer advocate, representing AWS in customer meetings, explaining technical concepts, and influencing adoption decisions.

• Drive revenue growth and strategic outcomes for customers by demonstrating the business value and technical feasibility of AWS solutions through working prototypes and proof-of-concepts.

• Contribute to thought leadership by developing and sharing content, such as blogs and workshop materials, at customer events, and by actively applying and sharing learnings from AI-assisted coding methods.

• Own key development tasks from design through implementation with minimal supervision, ensuring high standards of quality and delivery.

• Identify opportunities for invention and simplification by contributing to scaling and code reuse projects within the team, developing reusable components and reference architectures.

• Continuously learn and experiment with new technologies, industry use cases, and AI-assisted coding tools to stay at the forefront of innovation.

📝 Enhancement Note: The responsibilities emphasize a proactive, hands-on approach to solution development and customer engagement, directly impacting Go-To-Market (GTM) success by enabling customer adoption and demonstrating AWS capabilities. The focus on prototyping and customer engineering aligns with GTM strategy by de-risking new technology adoption for clients.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is typically expected for roles with this experience level and technical depth.

Experience: 10+ years of IT development or implementation/consulting experience in the software or Internet industries.

Required Skills:

• 2+ years of experience in designing, implementing, or consulting on applications and infrastructures.

• 4+ years of experience in specific technology domain areas such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.

• Deep understanding of software development tools and methodologies, including coding standards, code reviews, source control management, build processes, testing, and operations.

• Proven ability to combine design and architecture knowledge with strong development capabilities, comfortable at both the whiteboard and the keyboard.

• Experience in working with customers to experiment with innovative approaches and validate technical feasibility.

• Strong communication and interpersonal skills, with the ability to represent AWS in customer meetings and serve as both an AWS voice and customer advocate.

Preferred Skills:

• Experience working with AWS technologies from a development/operations perspective.

• Experience working with agile development methodologies.

• Proficiency in modern programming languages such as Ruby, Java, Python, or C#.

• Experience with full software development life cycle.

• Proficient in the use of AI coding tools to improve quality and velocity.

• Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams.

• Familiarity with domains including Machine Learning, Agentic Design, Serverless Architecture, and multi-modal Generative AI.

📝 Enhancement Note: The extensive experience requirement (10+ years) suggests this role is for seasoned professionals who can operate with significant autonomy and influence. The emphasis on both technical depth and customer-facing skills is typical for senior customer engineering or solutions architect roles that bridge technical execution and GTM impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Examples of complex technical challenges solved through innovative software development and prototyping.

• Demonstrations of ability to design, build, and test prototypes for emerging technologies (AI, ML, Serverless, Generative AI).

• Case studies showcasing successful customer engagements, highlighting how prototypes accelerated adoption or solved business problems.

Process Documentation:

• Evidence of involvement in full software development life cycles, including design, implementation, testing, and operational considerations.

• Examples of how you've applied agile development methodologies to rapidly deliver working solutions.

• Documentation of experience with various software development tools and methodologies, including code reviews and source control.

• Demonstrated ability to learn and integrate new technologies and industry use cases into development processes.

📝 Enhancement Note: For a role focused on prototyping and customer engineering, a portfolio demonstrating hands-on development skills, innovative problem-solving, and customer impact is crucial. The ability to showcase rapid iteration and the creation of tangible, working solutions will be key.

💵 Compensation & Benefits

Salary Range: $131,300 - $177,600 USD annually (for Herndon, Virginia)

Benefits:

• Comprehensive health insurance (medical, dental, vision, prescription coverage)

• Basic Life & AD&D insurance with option for supplemental life plans

• Employee Assistance Program (EAP)

• Mental Health Support

• Medical Advice Line

• Flexible Spending Accounts

• Adoption and Surrogacy Reimbursement coverage

• 401(k) matching

• Paid time off

• Parental leave

• Sign-on payments

• Restricted Stock Units (RSUs)

Working Hours: Standard 40 hours per week, with potential for flexibility given the nature of prototyping and customer engagements.

📝 Enhancement Note: The salary range provided for Herndon, Virginia, aligns with senior technical roles in the US tech market. Amazon's comprehensive benefits package, including equity (RSUs) and performance-based incentives (sign-on payments), is standard for senior positions within the company, reflecting a total compensation approach beyond base salary. The inclusion of adoption and surrogacy reimbursement is a notable, family-friendly benefit.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / Technology Services

Company Size: Extremely Large (Amazon is a global technology conglomerate with hundreds of thousands of employees worldwide). The PACE team is likely a specialized, smaller unit within the broader AWS organization.

Founded: 1994 (Amazon)

Team Structure:

• The PACE team is described as comprising experienced full-stack developers who are passionate about delivering technical solutions using AWS services in a rapid development environment.

• They operate in smaller project teams, varying based on availability, specialized skills, and career growth interests, with members spanning the US and EMEA.

Methodology:

• Rapid development environment focused on transforming concepts into working prototypes quickly (days and weeks).

• Emphasis on leveraging AWS services and emerging technologies.

• Proactive knowledge sharing and building internal tools when necessary.

• Focus on achieving "the art of the possible" by pushing technical boundaries.

• Customer-centric approach, working backward from customer outcomes.

Company Website: https://www.amazon.com

📝 Enhancement Note: Amazon's culture is known for its customer obsession, bias for action, and innovation. The PACE team embodies these principles by focusing on rapid prototyping and directly addressing customer needs with cutting-edge technology. The scale of Amazon means this role operates within a vast ecosystem, offering significant resources and opportunities for impact.

📈 Career & Growth Analysis

Operations Career Level: Senior Technical Contributor / Solutions Developer

This role is for a seasoned technologist with over 10 years of experience, capable of independent work, complex problem-solving, and influencing technical direction. It's a hands-on developer role with significant customer interaction and a focus on emerging technologies, positioning it as a senior individual contributor role with potential leadership opportunities within project teams.

Reporting Structure: While not explicitly detailed, senior technical roles within Amazon typically report into engineering management or program management leadership, with close collaboration with account managers and service teams. The PACE team structure suggests reporting within that specialized unit, with cross-functional interaction with customer-facing teams.

Operations Impact: The "operations" here is in the context of enabling customer operations and business outcomes through technology solutions. By building prototypes and validating technical feasibility for customers, this role directly influences customer adoption of AWS services, accelerates their time-to-market, and ultimately drives revenue for AWS. The impact is strategic, helping customers innovate and achieve their business goals.

Growth Opportunities:

• Technical Specialization: Deepen expertise in cutting-edge domains like Generative AI, Agentic Design, and Physical AI, becoming a go-to expert.

• Leadership: Lead project teams, mentor junior developers, and potentially move into technical lead or architect roles within the PACE team or broader AWS organization.

• Thought Leadership: Develop a strong professional brand through blogs, workshops, and presentations at industry events.

• Cross-Functional Mobility: Transition to roles in product management, solutions architecture, or specialized engineering teams within AWS.

• Continuous Learning: Access to Amazon's extensive learning resources, training programs, and opportunities to work with a wide array of AWS services.

📝 Enhancement Note: This role is ideal for experienced engineers who want to stay hands-on with technology while influencing customer strategy and driving innovation. The growth path is about deepening technical expertise and expanding influence within a hyper-growth environment.

🌐 Work Environment

Office Type: On-site, within Amazon's office facilities.

Office Location(s): Herndon, Virginia, USA. Amazon's offices are typically modern, well-equipped workspaces designed to foster collaboration and innovation.

Workspace Context:

• Collaborative environment with project teams, often working closely with program managers and specialists.

• Access to advanced AWS infrastructure and tools for development and prototyping.

• Opportunities for informal knowledge sharing and collaboration with a diverse group of engineers across different locations (US and EMEA).

• The work environment is fast-paced, driven by customer needs and the rapid evolution of technology.

Work Schedule: While a standard 40-hour work week is implied, the nature of customer engagements and prototype development may require flexibility. The emphasis on rapid iteration suggests a dynamic schedule that prioritizes delivery.

📝 Enhancement Note: The on-site requirement in Herndon, VA, indicates a preference for in-person collaboration, which is often beneficial for rapid prototyping and customer engagement where real-time feedback and whiteboarding sessions are crucial.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications and interest.

• Technical Phone Screens: Multiple rounds focusing on core software development principles, algorithms, data structures, and system design.

Expect questions related to AWS services, cloud architecture, and potentially AI/ML concepts.

• On-site/Virtual On-site Loop: A series of interviews (typically 4-6) with different team members, including potential peers, team leads, and managers. These will cover:

  • Coding Challenges: Live coding exercises on a shared editor, testing practical implementation skills.
  • System Design: Designing scalable and resilient systems, often with a focus on cloud-native architectures and specific AWS services.
  • Behavioral Questions: Assessing leadership principles, problem-solving approaches, teamwork, and customer obsession using the STAR method.
  • Domain-Specific Questions: Questions related to your experience with ML, Generative AI, Serverless, or specific programming languages.

• Portfolio Review: Be prepared to discuss your projects in detail, highlighting your role, technical challenges, solutions, and the impact of your work.

Portfolio Review Tips:

• Showcase Prototypes: Prioritize projects that demonstrate your ability to build working solutions rapidly, especially those involving emerging technologies.

• Quantify Impact: For each project, clearly articulate the business problem, the technical solution, your specific contributions, and any measurable outcomes (e.g., performance improvements, cost savings, accelerated adoption).

• Highlight AWS Experience: If possible, include projects that specifically leverage AWS services.

• Demonstrate Learning: Showcase examples of how you've learned and applied new technologies or methodologies.

• Code Samples: Have well-documented code samples available (e.g., on GitHub) for review, demonstrating clean coding practices and robust design.

Challenge Preparation:

• Coding Practice: Utilize platforms like LeetCode, HackerRank, and AlgoExpert to hone your algorithmic and data structure skills. Focus on medium to hard difficulty problems.

• System Design Practice: Study common system design patterns, AWS architecture best practices, and practice designing large-scale systems. Refer to resources like "Designing Data-Intensive Applications" or AWS Well-Architected Framework.

• Behavioral Prep: Prepare several STAR stories that highlight your strengths, problem-solving skills, leadership, and customer focus. Align your examples with Amazon's Leadership Principles.

• AWS Knowledge: Refresh your knowledge of core AWS services (EC2, S3, Lambda, RDS, IAM, etc.) and services relevant to ML, AI, and serverless.

📝 Enhancement Note: Amazon's interview process is notoriously rigorous. Candidates should prepare for deep technical dives and behavioral assessments aligned with their Leadership Principles. A strong portfolio showcasing hands-on development and customer impact is critical.

🛠 Tools & Technology Stack

Primary Tools:

• AWS Services: Extensive use of various AWS services for prototyping, including but not limited to:

  • Compute: EC2, Lambda, Fargate
  • Storage: S3, EBS, EFS
  • Databases: RDS, DynamoDB, ElastiCache
  • AI/ML: SageMaker, Bedrock, Rekognition, Comprehend, Translate
  • Serverless Frameworks: AWS SAM, Serverless Framework
  • Containerization: ECS, EKS, Docker

• Programming Languages: Python, Java, Ruby, C# (proficiency in at least one modern language is required).

• AI Coding Tools: Proficiency in using AI-assisted coding tools (e.g., Amazon CodeWhisperer, GitHub Copilot) to enhance code quality and development velocity.

Analytics & Reporting:

CRM & Automation:

• Not directly applicable in terms of building CRM systems, but understanding how prototypes integrate with customer systems and workflows is key. Experience with APIs and integration patterns is valuable.

📝 Enhancement Note: This role is heavily centered around AWS services. Deep familiarity and hands-on experience with a broad range of AWS offerings, especially in compute, storage, databases, and AI/ML, are essential. The explicit mention of AI coding tools indicates a forward-looking approach to development practices.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Working backward from customer needs to define and build solutions that deliver tangible value.

• Bias for Action: Moving quickly to prototype, experiment, and deliver results, even with ambiguity.

• Invent and Simplify: Continuously seeking innovative approaches and creating reusable components to improve efficiency and scalability.

• Ownership: Taking responsibility for development tasks from design through implementation, ensuring high quality.

• Learn and Be Curious: Actively seeking to learn new technologies, industry use cases, and AI-assisted coding methods.

Collaboration Style:

• Collaborative within small project teams, working closely with program managers and specialists.

• Cross-functional interaction with AWS account and service teams.

• Knowledge sharing is encouraged through periodic team meetings and potentially internal platforms.

• The team operates in a fast-paced, results-oriented environment where mutual support and learning are valued.

📝 Enhancement Note: Amazon's core Leadership Principles are foundational to its culture. Candidates are expected to embody these principles in their daily work and interactions. The PACE team's focus on rapid innovation and customer impact aligns perfectly with these values.

⚡ Challenges & Growth Opportunities

Challenges:

• Technical Ambiguity: Working with nascent technologies and emergent business objectives requires comfort with ambiguity and the ability to define novel solutions.

• Rapid Iteration: The need to deliver working prototypes quickly can be demanding, requiring efficient development and problem-solving skills.

• Keeping Pace with Innovation: The rapidly evolving landscape of AI and cloud technologies requires continuous learning and adaptation.

• Cross-Functional Alignment: Balancing customer needs, internal AWS team priorities, and project timelines can be complex.

Learning & Development Opportunities:

• Cutting-Edge Technology Exposure: Direct experience with the latest advancements in AI, ML, Generative AI, and Serverless computing.

• AWS Ecosystem Mastery: Deepening expertise across the vast suite of AWS services.

• Professional Development: Access to Amazon's extensive internal training resources, workshops, and potential for external certifications.

• Mentorship: Opportunities to learn from and collaborate with experienced senior technologists within the PACE team and the broader AWS organization.

• Thought Leadership Development: Platforms to share knowledge and build a professional reputation through content creation.

📝 Enhancement Note: This role offers significant challenges that are directly tied to opportunities for professional growth. The ability to navigate complexity and drive innovation in emerging tech fields is a key differentiator for career advancement.

💡 Interview Preparation

Strategy Questions:

• Technical Strategy: "Describe a time you experimented with a new technology to solve a customer's problem. What was your approach, what did you learn, and what was the outcome?" or "How would you design a scalable, serverless application for real-time data processing using AWS services?"

• Customer Engagement Strategy: "Walk me through a complex technical challenge you faced with a customer. How did you approach understanding their needs, and how did you work with them to develop a solution?" or "How do you balance the need for rapid prototyping with ensuring the long-term viability and scalability of a solution?"

• Problem-Solving Strategy: "Imagine a customer wants to explore the capabilities of multimodal Generative AI for their specific industry. Outline your approach to prototyping and demonstrating value." or "How do you decompose a significantly complex technical challenge into manageable, elegant solutions?"

Company & Culture Questions:

• "How do you embody Amazon's Leadership Principles, particularly Customer Obsession and Bias for Action, in your work?"

• "Describe your experience working in a fast-paced, agile environment. How do you manage competing priorities and tight deadlines?"

Portfolio Presentation Strategy:

• Narrative Arc: For each project, structure your presentation with a clear beginning (problem), middle (your solution/process), and end (outcome/impact).

• Visual Aids: Use diagrams, code snippets (if appropriate), and screenshots to illustrate your points effectively.

• Focus on Your Role: Clearly articulate your specific contributions, especially in team projects.

• Quantify Results: Wherever possible, use metrics to demonstrate the success and impact of your work.

• Technical Depth: Be prepared to dive deep into the technical details of your solutions if asked.

• Candidate-Driven: Be ready to pivot the discussion to highlight projects that best showcase your relevant skills and experience for this specific role.

📝 Enhancement Note: Amazon interviews are designed to assess both technical proficiency and cultural fit. Candidates should prepare to demonstrate their problem-solving skills, technical expertise, and alignment with Amazon's core values through specific examples.

📌 Application Steps

To apply for this Solutions Developer position:

• Submit your application through the official Amazon Jobs portal.

• Resume Optimization: Tailor your resume to highlight your 10+ years of IT development/consulting experience, specific technology domain expertise (software development, cloud computing, AI/ML), and proficiency in modern programming languages. Quantify your achievements with metrics.

• Portfolio Preparation: Curate a portfolio that showcases your hands-on prototyping skills, experience with AWS services, and ability to solve complex technical challenges with innovative solutions. Prepare to discuss 2-3 key projects in detail, focusing on your technical contributions and the business impact.

• Technical & Behavioral Practice: Dedicate significant time to practicing coding problems, system design scenarios, and preparing STAR-method behavioral responses aligned with Amazon's Leadership Principles.

• Company & Role Research: Thoroughly research AWS, the PACE team's mission, and the specific technologies mentioned in the job description (Generative AI, Agentic Design, Serverless). Understand how your skills and experience align with Amazon's customer-centric and innovation-driven culture.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.