This listing does not state pay. Across 98 open software engineer ii listings that state pay, the middle half runs $120,000 to $161,500 and the median is $148,500.

Listed pay is what employers advertise, not what people are paid.

Software Engineer II salaries by state · Check your own pay

How AI is used in this kind of work

Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

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.