Senior Solutions Developer, Prototyping and Customer Engineering (PACE)

📍 Job Overview

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

Company: Amazon

Location: Boston, MA; San Jose, CA; Seattle, WA; New York, NY; Dallas, TX

Job Type: Full-Time

Category: Solutions Development / Customer Engineering

Date Posted: 2026-03-26

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Develop and implement customer-facing prototypes and solutions within the Prototyping and Customer Engineering (PACE) team.

• Collaborate with customers and AWS teams to craft innovative solutions that address specific use cases and accelerate AWS adoption.

• Focus on exploring emerging technologies and validating technical feasibility for new product and solution iterations.

• Serve as a technical leader, combining design/architecture knowledge with hands-on development capabilities to drive impactful outcomes.

📝 Enhancement Note: This role is positioned within Amazon's Prototyping and Customer Engineering (PACE) team, which focuses on early-stage product and solution development for enterprise clients. The emphasis is on a "builder's mentality" and hands-on technical execution within a collaborative, customer-centric environment. The role requires a blend of deep technical expertise, strategic thinking, and strong communication skills to translate customer needs into tangible, innovative prototypes.

📈 Primary Responsibilities

• Engage directly with enterprise customers to understand their specific use cases, desired outcomes, and technical challenges.

• Design and implement end-to-end prototypes and solutions using AWS services, code, and potentially AWS Cloud Development Kit (CDK), within an accelerated six-week timeframe.

• Collaborate closely with a small, cross-functional team of developers, Customer Success Managers, and specialists to deliver high-quality, impactful prototypes.

• Identify and pursue opportunities to scale the impact of developed solutions and best practices through internal and external initiatives.

• Mentor junior developers and team members, fostering knowledge sharing and continuous learning within the PACE team.

• Continuously learn and experiment with new technologies, particularly in domains such as AI/ML, generative AI, serverless, IoT, and edge computing, to stay at the forefront of innovation.

• Document solutions, technical designs, and implementation details clearly and comprehensively for both internal and external stakeholders.

• Present technical solutions, prototype capabilities, and business value propositions to customer executives, IT management, and development teams.

📝 Enhancement Note: The core responsibility revolves around rapid prototyping and solution development for enterprise clients, with a strong emphasis on AWS cloud-native technologies. The six-week engagement cycle for prototypes is a critical operational constraint that requires efficient project management, agile methodologies, and effective collaboration within a small, dynamic team. The role demands not just technical proficiency but also the ability to articulate technical concepts and business value to diverse audiences.

🎓 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 of this seniority and technical depth, especially within Amazon's engineering organizations.

Experience:

• Minimum of 3+ years in application and infrastructure design, implementation, or consulting.

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

Required Skills:

• Proven experience with cloud architectures and platforms, with a strong focus on Amazon Web Services (AWS).

• Proficiency in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.

• Experience in software development, including managing full application stacks from the OS up through custom applications.

• Strong analytical skills, with a keen attention to detail and the ability to troubleshoot complex technical issues.

• Excellent communication and presentation skills, with a high degree of comfort speaking with internal and external executives, IT management, and developers.

• Demonstrated ability to learn new technologies quickly and experiment with emerging trends.

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

Preferred Skills:

• Experience building AWS cloud-native serverless solutions using AWS SDKs.

• Deep understanding of AI/ML, AR/VR/Spatial, IoT, Serverless, and Generative AI concepts and applications.

• Familiarity with AWS Cloud Development Kit (CDK) for infrastructure as code.

• Experience in customer-facing roles, such as solutions architecture or technical consulting.

• Ability to work independently and manage time effectively in a self-guided manner.

📝 Enhancement Note: The "10+ Years" experience level implied by the combination of basic and preferred qualifications suggests this is a senior-level role, requiring not just technical execution but also leadership, mentorship, and strategic contribution. The emphasis on both deep technical skills and strong communication/presentation abilities is crucial for success in customer-facing prototyping.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a history of successful prototype development and solution implementation, ideally within a customer-facing or consulting context.

• Provide concrete examples of how you have translated complex business requirements into functional, innovative technical solutions.

• Demonstrate experience in designing and building cloud-native applications, with a preference for AWS services.

Process Documentation:

• Include case studies or project descriptions that detail the process of engaging with customers, defining scope, and the iterative development cycle.

• Document your approach to agile development, including how you manage sprints, collaborate with teams, and adapt to changing requirements.

• Demonstrate how you measure the success and business value of prototypes, including key metrics and impact assessment.

• Showcase your ability to document technical designs, code, and implementation steps clearly and concisely.

📝 Enhancement Note: For a role focused on prototyping and customer engineering, a portfolio demonstrating practical application of technical skills and problem-solving is paramount. Candidates should be prepared to discuss their approach to rapid development cycles, customer engagement, and the technical choices made in past projects, emphasizing the "builder's mentality" and hands-on execution.

💵 Compensation & Benefits

Salary Range:

• San Jose, CA: $176,600 - $239,000 USD annually

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

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

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

Benefits:

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

• Prescription insurance coverage.

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

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

• Medical Advice Line.

• Flexible Spending Accounts (FSAs).

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) matching program.

• Paid Time Off (PTO).

Working Hours:

• Standard full-time work hours are implied, typically 40 hours per week. However, the nature of customer engagements and prototype development may require flexibility and occasional extended hours to meet project deadlines.

📝 Enhancement Note: The salary ranges provided are specific to each location, reflecting regional cost of living and market compensation trends for senior technical roles in the US. The comprehensive benefits package is standard for large tech organizations like Amazon. The explicit mention of sign-on bonuses and Restricted Stock Units (RSUs) in the original job description (though not in the provided JSON) indicates that the total compensation can be significantly higher than the base salary range.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / Technology / E-commerce

Company Size: Large Enterprise (Amazon is a global technology giant with hundreds of thousands of employees worldwide).

Founded: 1994 (Amazon was founded by Jeff Bezos, initially as an online bookstore, and has since grown into a diversified global technology company.)

Team Structure:

• The PACE (Prototyping and Customer Engineering) team operates as a specialized unit within AWS, focusing on customer-centric innovation.

• Team members are drawn from diverse backgrounds and geographies (US and EMEA), suggesting a globally distributed yet locally-focused operational model.

• The team structure is designed for agility, with small, project-based teams forming around specific customer engagements.

Methodology:

• Data-Driven Development: Prototypes are built to validate technical feasibility and demonstrate business value, implying a need for measurable outcomes and data analysis.

• Agile & Iterative: The six-week prototype engagement cycle and mention of agile/Scrum methodologies highlight an iterative approach to development and problem-solving.

• Customer-Centricity: The role is defined by its direct engagement with customers to understand and address their unique use cases, making customer needs the primary driver for development efforts.

• Innovation & Experimentation: A significant aspect involves exploring new technical grounds, experimenting with emerging technologies, and pushing the technical boundaries of what's possible with AWS.

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

📝 Enhancement Note: Amazon's culture is renowned for its customer obsession, bias for action, and long-term thinking. Within AWS and the PACE team, this translates to a focus on rapid innovation, direct customer impact, and a high-performance environment. The emphasis on continuous learning and mentorship within the team aims to foster professional growth while tackling complex technical challenges.

📈 Career & Growth Analysis

Operations Career Level: Senior Solutions Developer / Technical Leader

This role represents a senior individual contributor position within the technical track. It requires a deep level of technical expertise, the ability to lead small teams, and significant experience in designing and implementing complex solutions. Career progression typically involves taking on more challenging and strategic prototyping engagements, potentially leading larger initiatives, or moving into architecture or management roles within AWS or other specialized teams.

Reporting Structure:

The role likely reports to a Manager or Principal Engineer within the PACE organization. Collaboration will be extensive with Customer Success Managers, other developers, and senior leaders from customer organizations. The team structure is fluid, with individuals assigned to diverse projects based on skills and development interests.

Operations Impact:

The PACE team's work directly influences customer adoption of AWS services and shapes the early iterations of products and solutions. The solutions developed by this role can accelerate customer innovation, validate new business models, and drive revenue growth for AWS by showcasing the power and potential of its cloud platform. The impact is measured by the technical success of prototypes, customer satisfaction, and the potential for these prototypes to evolve into broader customer solutions or new AWS offerings.

Growth Opportunities:

• Technical Specialization: Deepen expertise in emerging domains like Generative AI, IoT, Serverless, or Edge Computing through dedicated project work and continuous learning.

• Leadership Development: Gain experience in leading small development teams, mentoring junior engineers, and influencing technical direction within customer engagements.

• Cross-Functional Exposure: Work with a wide array of AWS services and collaborate with various AWS teams, broadening understanding of the cloud ecosystem.

• Strategic Influence: Contribute to shaping customer strategies and potentially influence the development roadmap of AWS services through feedback from prototyping efforts.

• Career Advancement: Potential pathways to Principal Solutions Developer, Solutions Architect, or management roles within AWS.

📝 Enhancement Note: The role offers a clear path for technical growth within AWS, emphasizing hands-on development and customer engagement. The emphasis on mentorship and diverse project assignments supports well-rounded professional development, aligning with Amazon's broader commitment to employee growth and career advancement.

🌐 Work Environment

Office Type: This role is designated as On-site, indicating a primary work location within an Amazon corporate office.

Office Location(s): The position is available in multiple major US tech hubs: Boston, MA; San Jose, CA; Seattle, WA; New York, NY; and Dallas, TX. This provides flexibility for candidates based in or willing to relocate to these metropolitan areas.

Workspace Context:

• Collaborative Environment: Amazon fosters a highly collaborative work environment. The PACE team specifically emphasizes teamwork, with developers working closely in small groups on customer projects.

• Technology Rich: As a leading tech company, Amazon offices are equipped with modern technology, tools, and resources to support development and collaboration. This includes access to robust AWS infrastructure and development environments.

• Dynamic & Fast-Paced: The nature of prototyping and customer engineering involves working on challenging and often ambiguous problems, requiring adaptability and a proactive approach. The "Work hard. Have fun. Make history." credo suggests an energetic and goal-oriented atmosphere.

Work Schedule:

• The role is full-time, implying a standard 40-hour work week. However, customer commitments and project deadlines may necessitate flexibility in working hours. The emphasis on "builder's mentality" and rapid development suggests a culture that values output and results, which can sometimes lead to periods of intense work.

📝 Enhancement Note: The on-site requirement is a key differentiator for this role, suggesting a preference for in-person collaboration and direct client interaction. The availability across multiple major cities offers significant geographical flexibility for candidates.

📄 Application & Portfolio Review Process

Interview Process:

1. Online Application & Screening: Initial review of resume and qualifications, focusing on essential technical skills and experience.

2. Technical Phone Screen/Virtual Interview: A deep dive into your technical background, experience with AWS, programming languages, and problem-solving abilities. This may include coding challenges or system design questions.

3. On-site/Virtual Loop Interviews: A series of interviews (typically 4-6) with various team members, including peers, managers, and potentially principal engineers. These interviews will assess:

• Technical Depth: Hands-on coding, system design, and troubleshooting skills.
• Customer Obsession: How you understand and translate customer needs into solutions.
• Leadership Principles: How you embody Amazon's Leadership Principles (e.g., Ownership, Bias for Action, Dive Deep, Invent and Simplify).
• Collaboration & Communication: Your ability to work effectively in a team and articulate technical concepts.
• Problem Solving: How you approach complex, ambiguous challenges.

1. Portfolio Review (Implicit): While not explicitly a separate stage, expect to discuss specific projects from your portfolio during technical interviews, demonstrating your practical experience and impact.

Portfolio Review Tips:

• Focus on Impact: For each project, clearly articulate the problem you solved, your role, the technologies used, the outcome, and the business value delivered. Quantify achievements whenever possible (e.g., "reduced processing time by X%", "enabled Y new feature").

• Showcase AWS Expertise: Highlight projects that demonstrate your proficiency with AWS services, especially serverless, AI/ML, IoT, or other relevant domains.

• Demonstrate "Builder's Mentality": Include examples of prototypes or proof-of-concepts you've built, showcasing your ability to quickly translate ideas into working solutions.

• Explain Technical Choices: Be prepared to discuss why you made certain architectural or technology decisions, including trade-offs considered.

• Agile & Iterative Examples: If possible, include projects that illustrate your experience with agile methodologies and iterative development.

Challenge Preparation:

• AWS Services: Refresh your knowledge of core AWS services (EC2, S3, Lambda, API Gateway, DynamoDB, IAM, etc.) and relevant domain-specific services (SageMaker, IoT Core, etc.).

• Coding Proficiency: Practice coding in Python or another relevant language, focusing on clean, efficient, and well-documented code.

• System Design: Prepare for system design questions, focusing on scalability, reliability, and cost-effectiveness in a cloud environment.

• Amazon Leadership Principles: Understand each principle and have specific examples ready to illustrate how you have demonstrated them in past roles. Behavioral questions will be heavily weighted.

• Prototype Scenarios: Think about how you would approach a hypothetical customer problem requiring a prototype solution within a tight deadline.

📝 Enhancement Note: The interview process at Amazon is rigorous and heavily focused on behavioral questions aligned with their Leadership Principles, in addition to technical assessments. Candidates should prepare extensively for both aspects, using their portfolio to provide concrete evidence for their responses.

🛠 Tools & Technology Stack

Primary Tools:

• AWS Services: Extensive use of Amazon Web Services is fundamental. This includes compute (EC2, Lambda), storage (S3, EBS), databases (RDS, DynamoDB), networking (VPC, Route 53), AI/ML services (SageMaker, Comprehend, Rekognition), IoT services (IoT Core), serverless components (API Gateway, Step Functions), and potentially containerization (ECS, EKS).

• Programming Languages: Python, Java, Scala, NodeJS are explicitly mentioned as preferred.

• Infrastructure as Code: AWS Cloud Development Kit (CDK) is a preferred tool for defining and provisioning AWS infrastructure. Other IaC tools like Terraform might also be relevant.

• Version Control: Git (e.g., GitHub, AWS CodeCommit) for code management and collaboration.

Analytics & Reporting:

• AWS Analytics Services: Services like AWS Glue, Amazon Athena, Amazon QuickSight, and CloudWatch Logs/Metrics will likely be used for data analysis, reporting, and monitoring of prototypes.

• Business Intelligence Tools: While not explicitly listed, BI tools could be integrated for dashboarding and visualization, depending on the prototype's scope.

CRM & Automation:

• Customer Relationship Management (CRM): While not directly a CRM role, understanding how prototypes integrate with or impact customer systems is key. Amazon uses its internal systems, but familiarity with Salesforce or similar enterprise CRMs might be beneficial for understanding customer contexts.

• Workflow Automation: AWS Step Functions and Lambda can be used for workflow automation within prototypes. Experience with CI/CD pipelines (e.g., AWS CodePipeline, Jenkins) is also valuable for efficient development and deployment.

• Integration Tools: Familiarity with API design and integration patterns is essential for connecting different services and systems.

📝 Enhancement Note: The technology stack is heavily centered around the AWS ecosystem. Candidates should possess strong practical experience with a wide range of AWS services and demonstrate proficiency in modern software development practices, including IaC and agile methodologies.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: This is Amazon's foundational leadership principle. The PACE team lives this by directly engaging with customers, understanding their needs, and building solutions that provide tangible value and address pain points.

• Invent and Simplify: The role encourages exploring new technologies and approaches to solve customer problems in innovative yet straightforward ways. This involves pushing technical boundaries while ensuring solutions are practical and maintainable.

• Bias for Action: The emphasis on rapid prototyping (six-week cycles) and a "builder's mentality" reflects a culture that values execution and taking initiative, even when faced with ambiguity.

• Ownership: Team members are expected to take full responsibility for their projects, from initial engagement and design through to implementation and delivery, ensuring successful outcomes.

• Dive Deep: A commitment to understanding the intricacies of customer problems and the technical details of solutions is crucial for developing effective prototypes.

Collaboration Style:

• Cross-Functional Integration: The PACE team actively collaborates with various stakeholders, including customer technical teams, Customer Success Managers, and other AWS specialists, to ensure comprehensive solution development and successful adoption.

• Knowledge Sharing: The culture encourages mentorship and knowledge sharing, with team members from different backgrounds bringing diverse perspectives and learning from each other. Regular team meetings and internal initiatives facilitate this.

• Feedback-Driven: An iterative development process implies a culture that values constructive feedback, both from customers and within the team, to refine prototypes and improve solutions.

📝 Enhancement Note: The team's culture is deeply intertwined with Amazon's core Leadership Principles. Candidates should demonstrate alignment with these principles, particularly Customer Obsession, Invent and Simplify, Bias for Action, and Ownership, as these will be key assessment criteria during the interview process.

⚡ Challenges & Growth Opportunities

Challenges:

• Technical Ambiguity: Working with emerging technologies and novel customer use cases often involves navigating uncharted technical territory, requiring strong problem-solving and research skills.

• Rapid Development Cycles: The six-week timeframe for prototype delivery demands high efficiency, effective time management, and the ability to make quick, informed technical decisions.

• Balancing Innovation with Practicality: Developing cutting-edge prototypes while ensuring they are technically feasible, scalable, and deliver clear business value requires a delicate balance.

• Cross-Functional Stakeholder Management: Successfully collaborating with diverse internal and external teams, each with their own priorities and perspectives, can be challenging.

Learning & Development Opportunities:

• Deep Dive into Emerging Tech: Gain hands-on experience with the latest advancements in AI/ML, generative AI, IoT, serverless, and edge computing, becoming a subject matter expert.

• AWS Ecosystem Mastery: Expand expertise across the broad spectrum of AWS services through practical application in diverse customer scenarios.

• Mentorship and Skill Transfer: Benefit from working alongside experienced technologists and contribute to the growth of junior team members through mentorship.

• Industry Exposure: Engage with a wide range of enterprise customers across various verticals, understanding their unique challenges and digital transformation journeys.

• Career Pathing: Opportunities to advance into more senior technical, architectural, or leadership roles within AWS.

📝 Enhancement Note: The challenges presented are inherent to a role focused on innovation and rapid development. They are framed as opportunities for growth, emphasizing the continuous learning and skill development that are central to the role and Amazon's culture.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a time you had to build a prototype for a complex technical problem with limited information." (Focus on your approach to discovery, rapid iteration, and how you managed ambiguity.)

• "Describe a situation where you had to quickly learn a new technology to complete a project. How did you approach it, and what was the outcome?" (Highlight your learning agility, resourcefulness, and ability to apply new knowledge effectively.)

• "How would you approach designing a prototype for [specific customer use case, e.g., real-time anomaly detection in manufacturing data] using AWS services?" (Demonstrate your understanding of AWS services, system design principles, and ability to map requirements to solutions.)

Company & Culture Questions:

• "How do you embody Amazon's Leadership Principle of 'Invent and Simplify' in your work?" (Provide specific examples of how you've innovated and streamlined processes or solutions.)

• "Describe a time you had to demonstrate 'Bias for Action' when faced with a challenging or ambiguous situation." (Focus on your initiative, proactivity, and ability to drive progress.)

• "How do you ensure 'Customer Obsession' in your technical work, especially when building prototypes?" (Explain how you prioritize customer needs and validate solutions against their requirements.)

Portfolio Presentation Strategy:

• Structure Your Stories: For each project, use the STAR method (Situation, Task, Action, Result) or a similar narrative structure. Clearly define the problem, your role, the actions you took, and the quantifiable results.

• Highlight Technical Depth: Be prepared to go deep into the technical details of your projects. Discuss the architecture, key technical challenges, and your specific contributions.

• Showcase Problem-Solving: Explain the thought process behind your technical decisions. Why did you choose certain AWS services, languages, or architectural patterns? What alternatives did you consider?

• Quantify Impact: Whenever possible, use metrics to demonstrate the impact of your work. This could be related to performance improvements, cost savings, increased efficiency, or successful feature delivery.

• Focus on Prototypes: Since this role is heavily focused on prototyping, ensure your portfolio includes examples that demonstrate your ability to quickly build and iterate on solutions.

Challenge Preparation:

• Coding Practice: Use platforms like LeetCode, HackerRank, or practice coding AWS SDKs and Lambda functions locally. Focus on clean, efficient, and well-commented code.

• System Design Scenarios: Practice designing scalable, highly available, and fault-tolerant systems on AWS. Consider common scenarios like building a social media feed, an e-commerce platform, or a data processing pipeline.

• AWS Well-Architected Framework: Familiarize yourself with the pillars of the AWS Well-Architected Framework (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization) as these are key considerations in system design.

📝 Enhancement Note: Amazon's interview process is notoriously thorough. Candidates should prepare extensively by understanding the Leadership Principles, practicing behavioral and situational questions, and being ready to articulate their technical experience with specific, impactful examples drawn from their portfolio.

📌 Application Steps

To apply for this Senior Solutions Developer position:

• Submit your application through the Amazon Jobs portal (https://www.amazon.jobs/en/jobs/10377578).

• Tailor Your Resume: Customize your resume to highlight experience directly relevant to prototyping, customer engineering, AWS development, agile methodologies, and the specific technologies mentioned (Python, Java, CDK, AI/ML, IoT, Serverless, etc.). Emphasize your "builder's mentality" and hands-on project experience.

• Curate Your Portfolio: Select 2-3 of your most impactful projects that best showcase your ability to design, build, and deliver innovative technical solutions, particularly prototypes or complex applications on AWS. Prepare to discuss these in detail, focusing on problem, solution, your role, and quantifiable results.

• Prepare for Behavioral Questions: Study Amazon's Leadership Principles and prepare specific examples from your career that demonstrate each principle. Anticipate questions about your problem-solving approach, collaboration style, and customer focus.

• Technical Deep Dive Practice: Refresh your knowledge of AWS services, common programming languages (especially Python), system design principles, and agile development practices. Be ready for coding exercises and architectural discussions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions based on the provided data. All details, particularly regarding specific interview processes and portfolio expectations, should be verified directly with Amazon's recruiting team. Salary ranges are indicative and total compensation may vary.