Senior Full-Stack Engineer: AI & Cloud Platform

Pearson; Washington (District of Columbia); On-site; USD 100,000 - 130,000; Full time

Job summary

Pearson is seeking a Software Engineer to analyze, design, implement, and test software solutions. You will contribute to a new platform with a modern tech stack, learn rapidly, and collaborate across data science, psychometrics, and cloud disciplines.

The role emphasizes ownership of functionality, adopting new processes, and delivering high-quality software in collaboration with customers and engineering leadership.

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.
• AWS hosted applications.

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

AWS

R data science

GitHub CI/CD

Agile

Cloud-based apps

Education

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

Tools

Github CI/CD

Job description

Pearson is seeking a Software Engineer to analyze, design, implement, and test software solutions. You will contribute to a new platform with a modern tech stack, learn rapidly, and collaborate across data science, psychometrics, and cloud disciplines.

The role emphasizes ownership of functionality, adopting new processes, and delivering high-quality software in collaboration with customers and engineering leadership.