About the Role
At Pearson, we're committed to a world that's always learning. As a Software Developer, you'll build high-quality, secure applications that reach millions of learners worldwide, on a globally deployed, highly scalable platform that supports millions of logins every month.
You'll work alongside architects, engineers, UX designers and product owners to create digital learning experiences that make a real difference. This is a chance to join a new global product line within Pearson's expanding digital ecosystem and help shape it from the start. The ideal candidate is self-reliant, collaborative and energized by complex problems, and is curious about how AI can make engineering faster, safer and better.
Summary
The Software Developer designs, builds and maintains the Identity & Access Management (IAM) services that secure sign-in across Pearson's cloud and internal applications. You'll help set the architecture and engineering standards for these enterprise-wide services, and use modern AI-assisted tooling to deliver them with speed and quality.
Responsibilities
- Design and develop scalable, secure, cloud-based identity applications.
- Write designs, specifications and component architecture, and contribute to engineering standards.
- Code, test and ship to team guidelines, with sound engineering design and strong quality practices.
- Solve complex problems in distributed computing and API design.
- Quickly understand the existing code base and research and implement platform improvements.
- Partner with the product team to design new features and influence product direction.
- Use AI coding assistants and agents to accelerate design, coding, testing, debugging and documentation, and review all AI-generated output for correctness, security and maintainability.
- Help the team adopt responsible AI practices, including prompt and context techniques, data-privacy safeguards and shared AI tooling.
- Communicate clearly with teammates and management.
Required Qualifications
- B.S. or M.S. in Computer Science or equivalent experience, with strong problem-solving skills (data structures, algorithms, operating systems).
- 3+ years building Java applications with Spring.
- 3+ years designing and building RESTful web services.
- 1+ year building scalable solutions in a distributed environment.
- 3+ years practicing test-driven development and writing unit tests.
- Solid understanding of the SaaS model.
- Experience working in Scrum/Agile teams.
- Hands-on experience using at least one AI coding assistant in daily development, with the judgment to validate its output.
AI Tools and Skills for Developers
Candidates should be fluent in at least a few of these areas; deep expertise across all of them is not expected.
Preferred Qualifications
- Familiarity with AWS and MongoDB.
- Experience with React JS and CSS for building user interfaces.
- Experience building highly scalable systems in cloud environments.
- Background in the e-learning industry.
- Experience integrating LLM or generative AI features into production applications.
- Familiarity with identity standards such as OAuth 2.0, OpenID Connect and SAML.
