Senior Prototyping Engineer

📍 Job Overview

Job Title: Senior Prototyping Engineer

Company: Amazon

Location: Heredia, Costa Rica

Job Type: Full-time

Category: Engineering / Cloud Computing / Prototyping

Date Posted: 2026-08-03

Experience Level: 10+ years

Remote Status: On-site

🚀 Role Summary

• Architect, develop, test, and implement loosely coupled distributed software solutions to support AWS customers in their innovation initiatives.

• Engage with AWS customers to build rapid Minimum Viable Product (MVP) experiments leveraging lean principles and iterative AI/GenAI powered agile development.

• Drive the AWS platform forward by aligning customer requirements with AWS service teams' roadmaps, focusing on research, development, and innovation use cases.

• Contribute to AWS customer-facing publications such as white-papers and blogs, sharing expertise and best practices.

• Collaborate within multi-functional teams using agentic approaches to deliver tangible technology and business outcomes for leading clients across the LATAM geography.

📝 Enhancement Note: While the title is "Senior Prototyping Engineer," the responsibilities and required experience strongly indicate a role focused on customer-facing technical consulting and solution development within the AWS ecosystem, particularly involving AI/GenAI capabilities. This role sits at the intersection of engineering, consulting, and cloud strategy, requiring deep technical expertise and strong client-facing skills.

📈 Primary Responsibilities

• Design, develop, and deploy robust, scalable, and loosely coupled distributed software solutions tailored to specific customer use cases.

• Lead customer engagements by understanding their strategic vision and translating it into tangible technology and business outcomes through rapid prototyping.

• Employ lean principles and iterative AI/GenAI powered agile development methodologies to accelerate MVP delivery and validate innovative concepts.

• Actively research and integrate cutting-edge technological developments, particularly in AI and cloud computing, into customer solutions.

• Serve as a key liaison between AWS customers and AWS service teams, ensuring customer feedback informs product roadmaps and feature development.

• Author technical content, including white-papers, tutorials, and blog posts, to disseminate knowledge and best practices related to AWS services and prototyping.

• Travel up to 25% to customer sites across the LATAM region to facilitate on-site collaboration and project delivery.

• Foster an inclusive and collaborative team environment, leveraging diverse experiences to drive innovation and achieve customer success.

📝 Enhancement Note: The responsibilities highlight a hands-on engineering role with a strong consulting and customer-facing component. The emphasis on "agentic approaches" and "AI enabled development" suggests a focus on modern AI development paradigms, requiring candidates to be proficient in both traditional software engineering and emerging AI/GenAI capabilities.

🎓 Skills & Qualifications

Education: While specific degrees are not listed, a strong technical background typically implies a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Experience:

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

• At least 7+ years of experience in specific technology domain areas, such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.

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

• A minimum of 2+ years of hands-on programming experience. Required Skills:

• Proven expertise in architecting, developing, and testing distributed software solutions.

• Deep understanding of cloud computing principles and services, with a strong preference for AWS.

• Proficiency in multiple programming languages (e.g., Python, Java, Node.js) for rapid application development.

• Experience in agile development methodologies, including iterative development and lean principles.

• Demonstrated ability to communicate complex technical concepts effectively to both technical and non-technical audiences, including executive stakeholders.

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

• Familiarity with AI and Generative AI (GenAI) concepts and their application in developing innovative solutions. Preferred Skills:

• Hands-on experience architecting, operating, and optimizing solutions built on the AWS platform.

• Experience in prototyping and developing Minimum Viable Products (MVPs) for novel use cases.

• Familiarity with agentic approaches and multi-functional team collaboration for rapid development cycles.

• Experience contributing to technical publications, such as white-papers, blogs, or tutorials.

• Understanding of customer innovation cycles and how to drive tangible business outcomes.

📝 Enhancement Note: The extensive experience requirement (10+ years) combined with specific technology domain expertise (7+ years) and programming (2+ years) indicates a senior-level position. The emphasis on AWS, AI/GenAI, and customer engagement points towards a specialized role within AWS's customer engineering or solutions architecture functions, requiring a blend of deep technical skills and strong interpersonal abilities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of successful distributed software solution architectures, showcasing scalability, resilience, and modularity.

• Case studies detailing the development of Minimum Viable Products (MVPs) or rapid prototypes, highlighting the iterative process and business outcomes achieved.

• Examples of customer engagements where complex technical requirements were translated into functional prototypes or pilot solutions.

• Documentation or descriptions of experience with agile development workflows, including sprint planning, execution, and review cycles.

• Evidence of contributions to technical documentation, such as white-papers, technical blogs, or internal design documents, demonstrating clear communication of technical concepts. Process Documentation:

• Ability to document and articulate the architecture and development process for complex software solutions.

• Experience in defining and optimizing agile development processes, including the integration of AI/GenAI tools.

• Skills in outlining the lifecycle of a prototype project, from ideation and requirements gathering to development, testing, and customer deployment.

• Proficiency in illustrating how customer requirements are mapped to AWS services and development roadmaps.

📝 Enhancement Note: For a Senior Prototyping Engineer role, a strong portfolio is crucial. Candidates should be prepared to showcase their ability to translate abstract concepts into tangible, working prototypes. The portfolio should emphasize problem-solving, technical innovation, and successful customer collaborations, particularly those involving cutting-edge technologies like AI/GenAI and cloud platforms.

💵 Compensation & Benefits

Salary Range: Based on the seniority (10+ years of experience), location (Heredia, Costa Rica), and the employer (Amazon - a major tech company), a competitive salary range for a Senior Prototyping Engineer in this region would likely fall between $60,000 - $90,000 USD annually. This estimate considers local cost of living, industry benchmarks for senior engineering roles in Latin America, and Amazon's typical compensation structures.

Benefits:

• Mentorship: Access to experienced mentors within AWS to guide career development and technical growth.

• Career Growth Resources: Opportunities for continuous learning, skill development, and advancement within Amazon's vast ecosystem.

• Inclusive Team Culture: Participation in affinity groups and inclusion events that foster a sense of belonging and collaboration.

• Work-Life Harmony: Commitment to balancing professional responsibilities with personal life, offering flexibility where possible.

• Flexibility: Support for flexible working arrangements to accommodate personal needs while meeting project demands.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plans.

• Paid time off and holidays.

• Stock options or restricted stock units (RSUs).

• Employee discounts on Amazon products and services.

Working Hours: Typically 40 hours per week, with potential for extended hours during critical project phases or customer engagements, reflecting the demands of a client-facing, innovation-focused role.

📝 Enhancement Note: The salary estimate is based on general market data for senior engineering roles in Latin America and the reputation of Amazon as a top-tier tech employer. Actual compensation may vary based on specific experience, negotiation, and internal Amazon compensation bands. The listed benefits are derived from the job description's "About the team" section and common tech industry offerings.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / E-commerce / Technology Services. Amazon Web Services (AWS) is a global leader in cloud infrastructure, providing a vast array of services that power businesses worldwide, from startups to enterprises.

Company Size: Amazon is a massive multinational corporation, employing over 1.5 million people globally. This scale offers extensive opportunities for career growth and exposure to diverse projects.

Founded: Amazon was founded in 1994 by Jeff Bezos. Its core mission has evolved from an online bookstore to "Earth's most customer-centric company," emphasizing innovation, long-term thinking, and a relentless focus on the customer.

Team Structure:

• The role is part of the AWS Prototyping and AI Customer Engineering (PACE) team, which operates within the broader AWS customer engagement organization.

• This team is characterized by its agile, AI-enabled development approach, utilizing lean principles and multi-functional teams.

• Prototyping Engineers work closely with AWS customers, often on-site, to develop rapid MVP experiments.

• Collaboration extends to AWS service teams to ensure customer needs influence product roadmaps. Methodology:

• Agile & Lean Principles: Emphasis on iterative development, rapid feedback loops, and efficient resource utilization.

• AI/GenAI Powered Development: Leveraging artificial intelligence and generative AI to accelerate prototyping, enhance functionality, and deliver innovative solutions.

• Agentic Approaches: Utilizing autonomous or semi-autonomous agents within development workflows to streamline tasks and improve efficiency.

• Customer-Centric Innovation: Focusing on understanding and addressing specific customer strategic visions for new products and services.

• Cross-Functional Collaboration: Working with diverse teams of developers and subject matter experts to achieve comprehensive solutions.

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

📝 Enhancement Note: Amazon's culture is deeply rooted in customer obsession, innovation, and operational excellence. For an engineering role within AWS, this translates to a fast-paced environment where technical expertise, problem-solving, and a proactive approach to customer challenges are highly valued. The emphasis on AI/GenAI indicates a forward-looking team focused on the latest technological advancements.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Senior," indicating a significant level of experience and expertise. Senior Prototyping Engineers are expected to lead technical aspects of projects, mentor junior engineers, and contribute to strategic technical decisions. The role requires a deep understanding of AWS services, software development best practices, and emerging technologies like AI/GenAI.

Reporting Structure: While not explicitly stated, Senior Prototyping Engineers typically report to a Engineering Manager, Principal Engineer, or a Group Lead within the AWS Prototyping and AI Customer Engineering (PACE) organization. They will also work closely with Customer Account Managers and Solutions Architects in client-facing capacities.

Operations Impact: This role directly impacts customer success by enabling them to rapidly validate and launch new products and services using AWS. By building tangible prototypes and MVPs, Senior Prototyping Engineers accelerate innovation cycles, reduce time-to-market, and help customers realize the business value of cloud technologies and AI. Their work influences customer adoption of AWS services and contributes to the overall growth of the AWS platform.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific AWS services, AI/GenAI technologies, or distributed systems architecture.

• Leadership Development: Transition into technical leadership roles, such as Principal Engineer, Architect, or Team Lead, guiding teams and setting technical direction.

• Cross-Functional Mobility: Move into related roles within AWS, such as Solutions Architecture, Professional Services, or Product Management, leveraging their deep customer and technical knowledge.

• Global Mobility: Opportunities to work on projects across different regions or relocate to other Amazon offices worldwide.

• Continuous Learning: Access to extensive internal training, certifications, and resources to stay at the forefront of cloud and AI technologies.

📝 Enhancement Note: The "Senior" designation and the broad experience requirements suggest this is a role for seasoned professionals who can operate with a high degree of autonomy. Growth opportunities are abundant within Amazon, particularly in specialized technical fields like AI and cloud computing, with clear pathways for both technical and management leadership.

🌐 Work Environment

Office Type: The role is primarily on-site in Heredia, Costa Rica, indicating a traditional office-based work environment. This setting facilitates close collaboration, team synergy, and direct customer interaction.

Office Location(s): Heredia, Costa Rica. This location likely offers a modern office space equipped with the necessary infrastructure for software development, prototyping, and client meetings.

Workspace Context:

• Collaborative Environment: The office space is expected to foster collaboration, with meeting rooms, common areas, and potentially open-plan desk arrangements to encourage interaction among team members and with visiting customers.

• Technology & Tools: Access to high-performance computing resources, development tools, and robust network infrastructure necessary for prototyping and deploying cloud-based solutions.

• Team Interaction: Frequent opportunities for direct interaction with fellow engineers, project managers, and customer representatives, promoting a dynamic and engaging work atmosphere.

Work Schedule: Standard working hours are typically 40 hours per week. However, the nature of customer-facing projects and rapid prototyping may require flexibility, with potential for extended hours during critical project phases or to meet specific customer deadlines.

📝 Enhancement Note: As an on-site role, the emphasis will be on in-person collaboration and immersion within the Amazon/AWS culture. The Heredia office likely provides a professional setting conducive to focused technical work and client engagement, aligning with Amazon's operational standards.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume to assess basic qualifications and experience.

• Technical Phone Screen: An interview focused on core technical skills, including software development, cloud computing (AWS), and potentially AI/GenAI concepts.

Expect questions about distributed systems and your programming experience.

• On-site/Virtual Interviews (Loop): A series of interviews (typically 4-6) with different team members, including engineers, managers, and potentially customer-facing roles. These interviews will cover:

  • Technical Deep Dives: In-depth discussions on your experience with AWS services, system design, algorithms, data structures, and programming.
  • Prototyping & Architecture: Questions assessing your ability to design and architect solutions, and your experience in building prototypes/MVPs.
  • Behavioral Questions: Using the STAR method (Situation, Task, Action, Result) to assess your experience with leadership, teamwork, customer interactions, problem-solving, and handling ambiguity.
  • Customer Engagement Scenarios: How you would approach working with a customer to understand their needs and deliver solutions.

• Portfolio Review: You will likely be asked to present specific projects from your portfolio, detailing your role, the technical challenges, the solutions implemented, and the outcomes achieved.

Portfolio Review Tips:

• Curate Select Projects: Choose 3-4 projects that best demonstrate your senior-level capabilities in distributed systems, cloud architecture, rapid prototyping, and AI/GenAI applications.

• Focus on Impact: Clearly articulate the business problem, your specific contributions, the technical challenges overcome, and the quantifiable results (e.g., performance improvements, cost savings, accelerated delivery).

• Highlight Prototyping Process: Detail your methodology for rapid development, including how you gathered requirements, iterated on designs, and validated solutions with stakeholders.

• Showcase AWS & AI Expertise: Ensure your presented projects prominently feature your experience with AWS services and any applications of AI/GenAI.

• Prepare for Technical Questions: Be ready to dive deep into the technical architecture, trade-offs, and implementation details of your portfolio projects.

Challenge Preparation:

• System Design: Practice designing scalable, resilient, and distributed systems. Consider aspects like microservices, databases, caching, load balancing, and fault tolerance.

• Coding Challenges: Brush up on your programming skills in languages relevant to AWS development (e.g., Python, Java, Node.js). Expect problems involving algorithms, data structures, and efficient coding.

• AWS Knowledge: Review key AWS services relevant to building distributed applications and AI solutions (e.g., EC2, S3, Lambda, RDS, SageMaker, Bedrock).

• Behavioral Scenarios: Prepare stories for common behavioral questions related to leadership, conflict resolution, dealing with ambiguity, and customer satisfaction.

📝 Enhancement Note: Amazon's interview process is known for its rigor and focus on "Leadership Principles." Candidates should thoroughly research these principles and prepare examples that demonstrate them. The portfolio is a critical component, serving as the foundation for many technical and behavioral discussions.

🛠 Tools & Technology Stack

Primary Tools:

• AWS Services: Extensive use of core AWS services such as EC2, S3, Lambda, API Gateway, CloudFormation/CDK, IAM, VPC, RDS, DynamoDB.

• AI/GenAI Platforms: Experience with AWS SageMaker, Amazon Bedrock, or similar platforms for machine learning model development, deployment, and inference.

• Programming Languages: Proficiency in languages like Python, Java, Node.js, Go, or C++ for backend development and scripting.

• Containerization & Orchestration: Familiarity with Docker and Kubernetes (EKS) for deploying and managing containerized applications.

Analytics & Reporting:

• AWS CloudWatch: For monitoring application and infrastructure performance, logging, and setting alarms.

• AWS X-Ray: For analyzing and debugging distributed applications.

• Tableau/Power BI (or similar): For creating dashboards and visualizing data, though AWS native tools are often prioritized.

CRM & Automation:

• Salesforce/ServiceNow: Potentially used for managing customer engagements and tracking project status, though not explicitly mentioned for this role.

• CI/CD Tools: Jenkins, AWS CodePipeline, GitLab CI for automating build, test, and deployment processes.

• Infrastructure as Code (IaC): AWS CloudFormation or AWS CDK for provisioning and managing AWS resources.

📝 Enhancement Note: The technology stack is heavily AWS-centric, reflecting Amazon's commitment to its own cloud platform. Proficiency in AI/GenAI tools like SageMaker and Bedrock is increasingly important for this role, alongside strong foundational software development and cloud infrastructure skills.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A deep commitment to understanding and meeting customer needs, driving innovation to deliver exceptional value.

• Bias for Action: A proactive approach to problem-solving, making decisions quickly and iterating rapidly to achieve results.

• Invent and Simplify: A drive to innovate and find creative solutions while also simplifying complex processes and technologies.

• Ownership: Taking responsibility for actions and outcomes, demonstrating accountability for projects and customer success.

• Deliver Results: A focus on achieving key performance indicators and driving tangible business outcomes for customers and AWS.

Collaboration Style:

• Cross-Functional Integration: Strong emphasis on working collaboratively with diverse teams, including customer account managers, solutions architects, and AWS service teams, to achieve common goals.

• Data-Driven Decision Making: Utilizing data and metrics to inform decisions, measure impact, and continuously improve processes and solutions.

• Open Communication: Encouraging candid feedback and open dialogue to foster a learning environment and drive continuous improvement.

• Agile Teamwork: Working within agile frameworks that promote shared responsibility, transparency, and collective problem-solving.

📝 Enhancement Note: Amazon's culture is defined by its 16 Leadership Principles. Candidates are expected to embody these principles in their daily work and interactions. The PACE team likely fosters a fast-paced, innovation-driven environment where collaboration and customer focus are paramount.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving Technology: Keeping pace with the fast-changing landscape of cloud computing and AI/GenAI technologies requires continuous learning and adaptation.

• Complex Customer Requirements: Translating diverse and often ambiguous customer needs into concrete, technically viable prototypes.

• Balancing Innovation and Practicality: Delivering cutting-edge solutions while ensuring they are robust, scalable, and meet customer business objectives.

• Geographical Diversity: Working with customers across the LATAM region may present challenges related to time zones, cultural nuances, and varying levels of technological maturity.

• Project Prioritization: Managing multiple customer engagements and project priorities effectively in a dynamic environment.

Learning & Development Opportunities:

• AWS Certifications: Opportunities to obtain and maintain AWS certifications, deepening expertise in cloud technologies.

• AI/GenAI Training: Access to specialized training programs, workshops, and resources focused on artificial intelligence and generative AI.

• Internal Knowledge Sharing: Participation in tech talks, internal conferences, and knowledge-sharing sessions within AWS.

• Mentorship Programs: Formal and informal mentorship opportunities to learn from experienced engineers and leaders.

• Exposure to Diverse Use Cases: Working on a wide range of customer projects provides exposure to various industries and innovative applications of technology.

📝 Enhancement Note: The challenges in this role stem from the cutting-edge nature of the work and the high expectations of a senior position at Amazon. The growth opportunities are substantial, driven by Amazon's investment in employee development and its position at the forefront of cloud and AI innovation.

💡 Interview Preparation

Strategy Questions:

• Technical Architecture: "Describe the architecture of a complex distributed system you designed. What were the key trade-offs you considered, and how did you ensure scalability and resilience?" (Prepare to discuss system design principles, microservices, data stores, and cloud services.)

• Prototyping & Innovation: "Walk me through a challenging prototype you built. How did you approach the problem, what technologies did you use, and what was the outcome for the customer?" (Focus on your methodology, problem-solving skills, and ability to deliver tangible results.)

• AI/GenAI Application: "How would you leverage GenAI to solve a specific customer problem, such as automating customer support or generating content? What are the key considerations for implementation and deployment on AWS?" (Demonstrate understanding of AI/GenAI capabilities and AWS AI services.)

Company & Culture Questions:

• Leadership Principles: "Tell me about a time you demonstrated 'Bias for Action' or 'Ownership' in a project." (Prepare specific examples using the STAR method that align with Amazon's Leadership Principles.)

• Customer Obsession: "Describe a situation where you went above and beyond to satisfy a customer's needs." (Highlight your customer-centric approach and problem-solving skills.)

• Teamwork & Collaboration: "How do you collaborate with cross-functional teams, especially when dealing with technical challenges or differing opinions?" (Showcase your communication and interpersonal skills.)

Portfolio Presentation Strategy:

• Structure: For each project, clearly outline: 1. The Customer Problem/Goal, 2. Your Role and Contributions, 3. The Technical Solution (Architecture, Technologies), 4. Key Challenges and How You Overcame Them, 5. The Results and Impact (Quantifiable if possible).

• Storytelling: Frame your projects as compelling narratives that showcase your technical prowess, problem-solving abilities, and customer focus.

• Visual Aids: Be prepared to use whiteboarding (virtual or physical) to illustrate architectures, workflows, or data flows relevant to your projects.

• Conciseness: Be prepared to present your projects within a set timeframe, focusing on the most impactful aspects.

📝 Enhancement Note: Amazon interviews are designed to assess both technical capability and cultural fit. Candidates should thoroughly research Amazon's Leadership Principles and prepare to discuss how their experience aligns with them. The portfolio presentation is a critical opportunity to showcase practical application of skills.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amazon Jobs portal.

• Resume Optimization: Tailor your resume to highlight your experience in distributed systems, cloud computing (especially AWS), AI/GenAI, rapid prototyping, and customer-facing roles. Quantify achievements wherever possible.

• Portfolio Curation: Select 3-4 key projects that best showcase your senior-level engineering, prototyping, and problem-solving skills, with a focus on AWS and AI/GenAI applications. Be ready to articulate your role, the challenges, the solutions, and the impact.

• Interview Preparation: Thoroughly review Amazon's Leadership Principles and prepare specific examples using the STAR method. Practice technical interview questions related to system design, coding, and AWS services.

• Company Research: Familiarize yourself with AWS's offerings, its customer engagement model, and the PACE team's mission. Understand the company's commitment to innovation and customer obsession.

⚠️ 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.