Senior AI-Driven Full-Stack Engineer (AWS Cloud)

Pearson; Nashville (TN); On-site; USD 125,000 - 150,000; Full time

Job summary

Pearson is seeking a Senior Full Stack Engineer to design, implement, and maintain cutting-edge assessment technology platforms. You will work in a collaborative, agile team, ensuring high-quality, scalable software and rapid delivery of mission-critical services.

The role emphasizes analyzing requirements, implementing designs, and participating in code reviews and deployments. Strong AWS, AI tool experience, and teamwork are essential.

Qualifications

• Bachelor degree in Computer Science, MIS, or equivalent technology discipline.
• Experience with Cloud AWS hosted applications.
• Experience with development, maintenance, and testing of software following industry best practices.
• Experience with highly available, highly concurrent web-based applications.
• Experience with GIT or similar VCS tools.
• Experience working in an agile environment.
• Master's degree or PhD in Computer Science, MIS, or equivalent technology discipline.
• Experience working with a range of AI tools and LLMs.

Responsibilities

• Analyze & Design - create design models from requirements and ensure artifacts reflect customer needs.
• Implement & Perform - follow Pearson coding standards and best practices.
• Review - participate in requirements, design and code reviews.
• Test & Deployment - collaborate with QA and other teams to release high-quality software; write unit tests.
• Quality/process improvement - participate in activities to enhance process and product quality.

Skills

AWS

GIT

Agile

AI tools

LLMs

Web services

Education

Bachelor's or MS in Computer Science, MIS, or related

Master's or PhD in Computer Science, MIS, or related

Job description

Pearson is seeking a Senior Full Stack Engineer to design, implement, and maintain cutting-edge assessment technology platforms. You will work in a collaborative, agile team, ensuring high-quality, scalable software and rapid delivery of mission-critical services.

The role emphasizes analyzing requirements, implementing designs, and participating in code reviews and deployments. Strong AWS, AI tool experience, and teamwork are essential.