Senior Full-Stack Engineer for AI-Driven Assessment Platform

Pearson

Carson City (NV)

On-site

USD 125,000 - 150,000

Full time

30 hours ago
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Job summary

Pearson is seeking a Senior Full Stack Engineer to design, implement, and maintain cutting-edge assessment platforms. You will work on cloud-hosted applications, emphasizing performance, reliability, and security while collaborating with a fast-paced, cross-functional team.

The role requires experience with AWS, AI tools, LLMs, and a strong background in web-based technologies. A bachelor’s in CS/MIS is expected, with advanced degrees preferred.

Qualifications

  • Bachelor degree in Computer Science, MIS, or equivalent technology discipline.
  • Experience with development, maintenance, and testing of software following industry best practices.
  • Experience with highly available, highly concurrent web-based applications.

Responsibilities

  • Analyze & Design – model customer requirements and create design artifacts.
  • Implement & Perform – follow Pearson coding standards and best practices.
  • Review – participate in requirements, design and code reviews.
  • Test & Deployment – collaborate with QA and operations to release high-quality software and write unit tests.
  • Quality/process improvement – contribute to improvements to processes and product quality.

Skills

AWS cloud
Agile
Git
AI tools & LLMs
Web-based apps
Performance & security
QA & testing
Communication
Self-starter
Team collaboration

Education

Bachelor's degree in Computer Science / MIS
Master's or PhD (preferred)

Tools

Git
CI/CD

Job description

Pearson is seeking a Senior Full Stack Engineer to design, implement, and maintain cutting-edge assessment platforms. You will work on cloud-hosted applications, emphasizing performance, reliability, and security while collaborating with a fast-paced, cross-functional team.

The role requires experience with AWS, AI tools, LLMs, and a strong background in web-based technologies. A bachelor’s in CS/MIS is expected, with advanced degrees preferred.

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