Senior Full-Stack Engineer: AI-Driven Cloud Apps

Pearson; Juneau (AK); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson is hiring a Software Engineer to design, implement, test, and maintain high-quality software solutions. The role involves building a new platform on a new tech stack and processes, with rapid learning of tools and domains such as data science and agentic AI.

You will own functionality, collaborate with customers, and apply best practices in security, performance, and verifiability while leveraging AWS and R-based tooling.

Qualifications

• 3–5 years relevant full-stack software development experience.
• Experience with development, maintenance, and testing of software following industry best practices.
• Experience with highly available, highly concurrent cloud-based Web applications.
• R and R data science libraries are a plus.
• AWS hosted applications; Github-driven CI/CD.

Responsibilities

• Develop and support a new web application stack.
• Leverage and refine LLM-codegen processes to balance agility and quality.
• Develop and leverage agent-driven AI architectures.
• Work closely with customers and adapt tools to their needs.
• Develop psychometrics and data science-focused tools in R.
• Operate, extend and create cloud-based solutions in AWS.
• Develop and maintain code using best practices for maintainability, performance, security, and verifiability.
• Possess the ability to quickly learn new processes, tools, and business domains.
• Work with engineering leadership to deliver timely, robust software adhering to best practices.

Skills

Full-stack development

Analytical thinking

Team collaboration

Time management

Communication skills

Adaptability

Education

Bachelor’s degree in Computer Science, MIS, or equivalent technology discipline

Tools

AWS

R

Github

CI/CD

Job description

Pearson is hiring a Software Engineer to design, implement, test, and maintain high-quality software solutions. The role involves building a new platform on a new tech stack and processes, with rapid learning of tools and domains such as data science and agentic AI.

You will own functionality, collaborate with customers, and apply best practices in security, performance, and verifiability while leveraging AWS and R-based tooling.