Senior Solutions Developer, Prototyping and Customer Engineering (PACE)

📍 Job Overview

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

Company: Amazon

Location: Boston, Massachusetts; Seattle, Washington; New York, New York; Mountain View, California; Dallas, Texas

Job Type: Full-time

Category: Customer Engineering / Solutions Development / Prototyping

Date Posted: 2026-06-08

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Engage directly with enterprise customers as a technical leader, focusing on designing, building, and validating early-stage product and solution prototypes.

• Leverage deep technical expertise in cloud architectures, emerging technologies, and software development to explore new technical grounds and accelerate AWS adoption.

• Translate complex customer use cases into tangible, high-quality prototypes across diverse domains, including AI/ML, Generative AI, IoT, and Serverless.

• Act as a trusted customer advocate, balancing technical depth with strong communication and interpersonal skills to convey business value and technical feasibility.

📝 Enhancement Note: This role is positioned within Amazon's Prototyping and Customer Engineering (PACE) team, which implies a strong focus on hands-on development, rapid iteration, and direct customer engagement. The emphasis on "early iterations" and "new technical grounds" suggests a need for adaptability, continuous learning, and a proactive approach to problem-solving, rather than maintaining existing systems. The "builder's mentality" and "show me" culture highlight the importance of practical demonstration and tangible output.

📈 Primary Responsibilities

• Collaborate closely with customers and internal AWS teams to understand specific use cases, define project scope, and design innovative solutions.

• Develop functional prototypes and proof-of-concepts using AWS services, coding (e.g., Python, Java, NodeJS), AWS CDK, and potentially other relevant technologies within tight deadlines (e.g., 6-week cycles).

• Articulate technical concepts and prototype demonstrations effectively to both technical and executive audiences, showcasing business value and technical feasibility.

• Identify opportunities to scale impact beyond individual customer engagements through internal initiatives, knowledge sharing, and mentoring junior developers.

• Continuously learn and experiment with new technologies, particularly in areas like Generative AI, AI/ML, IoT, Serverless, and AR/VR, to stay at the forefront of innovation.

• Act as a technical leader, guiding small teams through the development lifecycle and ensuring high-quality deliverables that meet customer requirements.

📝 Enhancement Note: The core responsibility revolves around rapid prototyping and customer solution validation. This implies a project-based work structure where engagements are time-bound and focused on demonstrating technical possibility. The mention of "small team of developers" and "6 weeks" indicates a need for agile methodologies and efficient workflow management. Mentoring is also a key aspect, suggesting a senior-level expectation to guide and develop others.

🎓 Skills & Qualifications

Education: While not explicitly stated, advanced degrees or equivalent practical experience in Computer Science, Engineering, or a related technical field are typically expected for senior roles of this nature within Amazon.

Experience:

• 10+ years of IT development or implementation/consulting experience in the software or internet industries.

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

• 3+ years of experience in designing, implementing, or consulting on applications and infrastructures. Required Skills:

• Proficiency in modern scripting or programming languages, such as Python, Java, Scala, or NodeJS.

• Hands-on experience with AWS cloud-native serverless solutions using AWS SDK.

• Experience with iterative, agile development methodologies (including Scrum).

• Strong analytical skills, attention to detail, and effective communication abilities.

• High degree of comfort with presentations and whiteboarding, capable of engaging with internal and external executives, IT management, and developers. Preferred Skills:

• Experience in building AWS cloud-native serverless solutions using AWS CDK.

• Hands-on experience in one or more of Edge Computing, IoT, AI/ML, Blockchain, mobile development, and/or user experience development.

• Experience managing full application stacks from the OS up through custom applications.

• Deep understanding of cloud architectures and platforms.

• Passion for educating, training, and designing cloud solutions for large enterprises.

📝 Enhancement Note: The "Basic Qualifications" are extensive, emphasizing a broad and deep technical foundation. The "Preferred Qualifications" highlight specialized areas like AWS CDK, specific emerging technologies (IoT, AI/ML), and full-stack management, which are crucial for prototyping cutting-edge solutions. The "builder's mentality" and "show me" culture imply a preference for candidates who can demonstrate practical application of skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a strong portfolio showcasing successful prototype development and customer-facing solutions, highlighting innovation and technical feasibility.

• Include case studies detailing specific customer engagements, outlining the problem, the proposed solution (prototype), the technologies used (especially AWS services), and the outcomes achieved.

• Present examples of code repositories, architecture diagrams, or technical documentation that illustrate your design and implementation capabilities.

• Evidence of ability to rapidly iterate on solutions, adapt to new requirements, and deliver tangible results within compressed timelines. Process Documentation:

• Showcase experience with agile development methodologies, including sprint planning, execution, and retrospectives, as evidenced in project delivery.

• Provide examples of how you've documented technical designs, architectural decisions, and implementation steps for prototypes and solutions.

• Illustrate how you've measured the performance and business value of prototypes, including metrics related to adoption, efficiency, or problem resolution.

📝 Enhancement Note: Given the role's focus on prototyping and customer engineering, a strong portfolio is paramount. It needs to go beyond theoretical knowledge and demonstrate practical, hands-on experience in building and delivering functional solutions. The emphasis on "early iterations" and "new technical grounds" suggests the portfolio should highlight work in emerging technology areas or novel applications of existing technologies.

💵 Compensation & Benefits

Salary Range:

• Boston, MA: $153,600 - $207,800 USD annually

• Seattle, WA: $153,600 - $207,800 USD annually

• Dallas, TX: $153,600 - $207,800 USD annually

• New York, NY: $169,000 - $228,600 USD annually

• Mountain View, CA: $176,600 - $239,000 USD annually

Benefits:

• Comprehensive health insurance package including medical, dental, vision, and prescription coverage.

• Basic Life & AD&D Insurance with options for supplemental life plans.

• Employee Assistance Program (EAP) and dedicated Mental Health Support.

• Medical Advice Line for health-related inquiries.

• Flexible Spending Accounts (FSAs) for healthcare and dependent care.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) with company matching.

• Generous Paid Time Off (PTO).

• Parental Leave benefits.

• Sign-on payments and Restricted Stock Units (RSUs) as part of the overall compensation package.

Working Hours: 40 hours per week (standard full-time).

📝 Enhancement Note: The provided salary ranges vary by location, reflecting Amazon's compensation strategy based on cost of living and market rates in major tech hubs. The extensive benefits package underscores Amazon's commitment to employee well-being and financial security, with specific provisions like adoption/surrogacy reimbursement and RSUs indicating a focus on long-term employee value and retention.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, E-commerce, Technology, Artificial Intelligence, Consumer Electronics. Amazon Web Services (AWS) is a global leader in cloud infrastructure and services, known for its relentless innovation and customer-centric approach.

Company Size: Large Enterprise (over 10,000 employees). This scale provides access to vast resources, cutting-edge technology, and opportunities for large-scale impact.

Founded: 1994 (Amazon), 2006 (AWS). Amazon's long history is characterized by a pioneering spirit and a drive to invent and simplify. AWS, born from this spirit, has consistently led the cloud computing market.

Team Structure:

• The Prototyping and Customer Engineering (PACE) team is part of AWS, focusing on customer-facing innovation and technical validation.

• The team comprises experienced technologists, developers, and solutions architects, often working in small, agile project teams.

• Reporting lines likely involve collaboration with Customer Success Managers, technical specialists, and potentially AWS account teams, with senior leadership providing strategic direction. Methodology:

• Data-Driven Decision Making: AWS culture emphasizes data analysis to inform decisions, measure impact, and drive improvements.

• Customer Obsession: A core Amazon principle, driving all aspects of product development and customer engagement, ensuring solutions meet real-world needs.

• DevOps and Agile Practices: The PACE team likely employs agile methodologies for rapid prototyping and iteration, with a strong emphasis on collaboration and continuous delivery.

• Innovation and Experimentation: A culture that encourages exploring new technologies and approaches to solve complex problems.

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

📝 Enhancement Note: Amazon's culture is famously characterized by its Leadership Principles, which guide decision-making and behavior. For this role, principles like "Invent and Simplify," "Bias for Action," "Customer Obsession," "Learn and Be Curious," and "Dive Deep" are particularly relevant. The PACE team operates within this framework, focusing on practical application, rapid development, and customer value.

📈 Career & Growth Analysis

Operations Career Level: Senior Solutions Developer / Principal Engineer. This role represents a senior individual contributor position focused on deep technical expertise, hands-on development, and customer-facing problem-solving. It requires the ability to lead technical initiatives and mentor others.

Reporting Structure: The role likely reports to a Group Manager or Senior Manager within the PACE organization, with direct collaboration across various AWS service teams and customer stakeholders.

Operations Impact: This role directly impacts customer adoption of AWS services by demonstrating the feasibility and value of solutions, particularly leveraging cutting-edge technologies like Generative AI. Successful prototypes can lead to broader customer adoption, influence AWS service roadmaps, and drive revenue growth for AWS.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific AWS services or emerging technology domains (e.g., AI/ML, IoT, Serverless) and become a subject matter expert.

• Leadership Development: Transition into technical leadership roles, managing larger teams, or taking on more strategic architectural responsibilities within PACE or other AWS organizations.

• Cross-Functional Mobility: Opportunities to move into broader solutions architecture, product management, or specialized engineering roles within AWS or other Amazon business units.

• Continuous Learning: Access to extensive AWS training, certifications, and internal resources to stay current with cloud technologies and develop new skills.

📝 Enhancement Note: The "Senior" title and the nature of the PACE team suggest a pathway for highly technical individuals to grow into specialized roles or leadership positions. The emphasis on mentorship and knowledge sharing within the team indicates a structured approach to career development, supporting progression through both technical and leadership tracks.

🌐 Work Environment

Office Type: Amazon operates modern, well-equipped office spaces designed to foster collaboration and innovation. This role is on-site, requiring regular presence in one of the designated Amazon corporate offices.

Office Location(s): The role is available in multiple major US tech hubs: Boston, MA; Seattle, WA; New York, NY; Mountain View, CA; and Dallas, TX. This offers geographical flexibility for candidates.

Workspace Context:

• Collaborative Spaces: Offices typically include open work areas, meeting rooms, and dedicated spaces for brainstorming and team collaboration, facilitating interaction with colleagues and customers.

• Technology Access: Employees have access to powerful computing resources, development tools, and the full suite of AWS services necessary for prototyping and development.

• Cross-Functional Interaction: Expect to work closely with a diverse group of engineers, product managers, customer success managers, and potentially sales teams, fostering a dynamic and collaborative work environment.

Work Schedule: While the standard work week is 40 hours, the nature of prototyping and customer engagements may require flexibility. The team culture emphasizes achieving results, and occasional extended hours might be necessary to meet project deadlines, balanced with a focus on work-life harmony.

📝 Enhancement Note: The on-site requirement is significant. Candidates should consider the implications of working from a physical Amazon office, including commute, office culture, and the benefits of in-person collaboration, which is often crucial for rapid prototyping and complex problem-solving. The multi-location aspect is a strong positive for candidates seeking specific geographic alignment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review your application and conduct a brief phone screen to assess basic qualifications and cultural fit.

• Technical Phone Screens: Expect one or more technical interviews focusing on core programming skills, AWS knowledge, system design, and problem-solving abilities.

• On-Site/Virtual Loop: This typically involves a series of interviews (often 4-6) with various team members, including engineers, managers, and potentially senior leaders. These interviews will cover:

  • Coding and Algorithms: Hands-on coding exercises, often live or on a shared editor.
  • System Design: Designing scalable and resilient systems, potentially related to prototyping or customer solutions.
  • Behavioral Questions: Assessing alignment with Amazon's Leadership Principles, teamwork, and problem-solving approaches.
  • Domain-Specific Expertise: Deep dives into areas like AI/ML, Serverless, IoT, or specific AWS services relevant to your experience.

• Portfolio Presentation: You may be asked to present examples from your portfolio, demonstrating your work on past prototypes or complex customer solutions.

Portfolio Review Tips:

• Curate Selectively: Focus on 3-5 of your strongest projects that best showcase your skills in prototyping, cloud development, and problem-solving, aligning with the job description's requirements (e.g., AWS, AI/ML, Serverless).

• Quantify Impact: For each project, clearly articulate the problem addressed, your role, the technical challenges overcome, the technologies used (especially AWS), and the measurable outcomes or business value delivered.

• Showcase Process: Be prepared to discuss your development process, including how you approached requirements gathering, design decisions, iteration, testing, and deployment considerations for prototypes.

• Highlight Collaboration: If possible, demonstrate how you collaborated with others (customers, team members) and how you handled feedback or differing technical opinions.

Challenge Preparation:

• AWS Fundamentals: Thoroughly review core AWS services (EC2, S3, Lambda, API Gateway, IAM, etc.) and best practices for serverless, AI/ML, and IoT development.

• Coding Proficiency: Practice coding in Python, Java, Scala, or NodeJS, focusing on data structures, algorithms, and efficient implementation.

• System Design: Prepare for system design questions, focusing on scalability, reliability, fault tolerance, and cost optimization within an AWS context.

• Behavioral Scenarios: Prepare specific examples using the STAR method (Situation, Task, Action, Result) to answer questions about leadership principles, problem-solving, and teamwork.

📝 Enhancement Note: Amazon's interview process is known for its rigor and focus on the Leadership Principles. For this role, expect a heavy emphasis on practical demonstration of technical skills, problem-solving capabilities, and the ability to quickly learn and apply new technologies in a customer-facing context. The portfolio is a critical component for showcasing these abilities.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python, Java, Scala, NodeJS (essential for development).

• AWS Services: Extensive use of core AWS services including EC2, S3, Lambda, API Gateway, IAM, CloudFormation, and others relevant to specific prototypes (e.g., SageMaker for AI/ML, IoT Core for IoT).

• Infrastructure as Code (IaC): AWS CDK (Cloud Development Kit) is explicitly mentioned, indicating a strong preference for IaC for defining and deploying AWS resources. CloudFormation knowledge is also beneficial.

• Development Methodologies: Agile, Scrum, iterative development practices.

Analytics & Reporting:

• AWS Native Tools: CloudWatch for monitoring and logging, potentially QuickSight for visualization and dashboards, depending on the prototype's needs.

• Data Analysis: Tools and techniques for analyzing prototype performance, user interaction data, and business metrics.

CRM & Automation:

• While not a direct CRM role, understanding how prototypes integrate with customer systems or how customer interactions are managed might involve familiarity with CRM concepts or customer success platforms.

• Automation: Proficiency in automating development workflows, testing, and deployment processes using scripting and IaC.

📝 Enhancement Note: The technology stack is heavily AWS-centric. Proficiency in core AWS services, serverless architectures, and at least one modern programming language is non-negotiable. The explicit mention of AWS CDK signifies a modern approach to infrastructure management and development. Experience with AI/ML, IoT, and other emerging technologies is a significant plus.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A fundamental principle; all work is driven by understanding and meeting customer needs, even in the prototyping phase.

• Invent and Simplify: A drive to create novel solutions and continuously improve processes and technologies.

• Bias for Action: A preference for taking decisive action and making progress, even with imperfect information, especially critical in rapid prototyping.

• Learn and Be Curious: A commitment to continuous learning, exploring new technologies, and staying ahead of industry trends.

• Dive Deep: The ability to understand complex technical details and ensure solutions are robust and well-architected.

Collaboration Style:

• Cross-functional Integration: Close collaboration with customers, AWS service teams, and internal PACE team members. Strong communication and interpersonal skills are key to effective teamwork.

• Knowledge Sharing: The team fosters an environment where members share insights, best practices, and lessons learned from customer engagements and technology experiments.

• Mentorship: Senior members are expected to mentor junior developers, contributing to team growth and skill development.

📝 Enhancement Note: Amazon's culture is deeply ingrained with its Leadership Principles. Understanding and embodying these principles is crucial for success within the PACE team and the broader AWS organization. The collaborative environment is designed to foster innovation and rapid problem-solving.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Iteration & Short Deadlines: Delivering functional prototypes within tight 6-week cycles requires exceptional time management, prioritization, and efficient development practices.

• Technical Ambiguity: Working with emerging technologies and novel customer use cases often involves navigating technical unknowns and defining solutions from scratch.

• Balancing Innovation with Feasibility: Excelling at the "art of the possible" while ensuring prototypes are technically sound, scalable, and demonstrate tangible business value.

• Diverse Customer Needs: Adapting technical approaches to meet the varied requirements and technical maturity levels of different enterprise customers across industries.

Learning & Development Opportunities:

• Cutting-Edge Technology Exposure: Direct engagement with the latest AWS services and emerging tech, particularly Generative AI, AI/ML, and IoT, provides unparalleled learning opportunities.

• AWS Certifications & Training: Access to Amazon's extensive internal training resources and support for pursuing AWS certifications.

• Mentorship Programs: Opportunities to learn from and be mentored by senior technologists and leaders within AWS.

• Broad Industry Exposure: Working with customers across diverse verticals (automotive, healthcare, manufacturing, etc.) broadens understanding of industry-specific challenges and technology applications.

📝 Enhancement Note: The challenges inherent in this role are also its greatest growth opportunities. Navigating ambiguity and tight deadlines builds resilience and efficiency, while exposure to new technologies fosters deep technical expertise.

💡 Interview Preparation

Strategy Questions:

• Technical Design & Problem Solving: Be prepared to discuss how you would approach designing a prototype for a specific customer scenario (e.g., "How would you build a prototype for real-time anomaly detection in manufacturing sensor data using AWS?"). Focus on the AWS services you'd use, the architecture, potential challenges, and how you'd measure success.

• Amazon Leadership Principles: Prepare specific examples using the STAR method for principles like Customer Obsession, Bias for Action, Invent and Simplify, Learn and Be Curious, Dive Deep, and Ownership. For this role, focus on examples where you've innovated, solved complex problems under pressure, learned new technologies quickly, and delivered customer value.

• Prototyping Experience: Discuss your experience in building prototypes. What was your process? How did you handle scope changes or technical roadblocks? How did you convey the value of your prototypes to stakeholders?

Company & Culture Questions:

• Understanding AWS PACE: Research the PACE team's mission and how it fits within AWS. Understand the importance of prototyping and customer engineering in driving cloud adoption.

• Team Collaboration: Be ready to talk about how you collaborate with diverse teams and stakeholders, especially customers, and how you handle disagreements or differing technical opinions.

• Innovation & Learning: Discuss your passion for new technologies and how you stay current. Share examples of technologies you've learned independently and applied.

Portfolio Presentation Strategy:

• Storytelling: Frame your portfolio projects as compelling stories, highlighting the challenge, your role, the solution, and the impact.

• Technical Depth: Be prepared to dive deep into the technical details of your projects, explaining architectural decisions, code structure, and trade-offs made.

• Visual Aids: If you can use slides or diagrams (even simple ones), they can greatly enhance your presentation of complex technical concepts.

• Conciseness: Respect the interviewer's time. Focus on the most impactful aspects of each project and be ready to answer specific questions.

📝 Enhancement Note: Amazon interviews are rigorous and aim to assess not only technical skills but also cultural alignment and problem-solving aptitude. For this role, demonstrating a proactive, customer-focused, and innovative mindset through your answers and portfolio is key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal for the specific location you are interested in.

• Tailor Your Resume: Highlight your 10+ years of IT development experience, specific technology domain expertise (e.g., cloud computing, software development), and experience with AWS, programming languages (Python, Java, etc.), and agile methodologies. Quantify achievements wherever possible.

• Prepare Your Portfolio: Curate your best projects that demonstrate your skills in prototyping, cloud-native development, AI/ML, Serverless, or IoT. Be ready to articulate your role, the technical challenges, and the outcomes.

• Research Amazon & AWS: Familiarize yourself with Amazon's Leadership Principles and the mission of the AWS PACE team. Understand the company's customer-centric approach and commitment to innovation.

• Practice Interview Questions: Prepare for technical, behavioral, and system design questions, and practice articulating your portfolio projects clearly and concisely.

⚠️ 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.