Software Engineer III

Pearson•Durham, NC

1d•$95,000 - $105,000

About The Position

Pearson PSG PAICE Software Engineering Group is seeking a highly motivated Software Engineer III to design, develop, and maintain modern cloud-native applications that power the next generation of AI-enhanced content creation, assembly, management, and delivery solutions. In this role, you will work on a cloud-based platform that transforms traditional publishing and educational content workflows into a seamless, intelligent, and scalable experience. The platform enables authors and content creators to build, customize, align, and deliver portable, platform-agnostic content while leveraging AI-assisted capabilities for content generation, transformation, and workflow automation. As a Full Stack Engineer, you will contribute across the entire technology stack, building responsive user experiences, scalable microservices, APIs, and cloud-native backend systems. You will collaborate with product managers, architects, UX designers, content specialists, AI engineers, and other software engineers to deliver innovative solutions that support content authoring, PDF transformation, learning framework management, and digital content distribution. This role is ideal for an engineer who thrives in a highly collaborative environment, has strong technical depth across front-end and back-end technologies, and embraces modern software engineering practices including AI-assisted development, event-driven architecture, microservices, and cloud-native application design.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
5+ years of professional software engineering experience.
Strong experience developing applications using Python.
Experience building modern front-end applications using: React JS, TypeScript, JavaScript
Experience developing RESTful APIs and backend services.
Strong understanding of microservices architecture and distributed systems.
Experience working with NoSQL databases such as: DynamoDB, MongoDB
Experience developing and deploying cloud-native applications on AWS.
Experience with: ECS, S3, Lambda, CloudFront
Knowledge of software design patterns, object-oriented principles, and secure coding practices.
Experience working within Agile and DevOps environments.
Excellent collaboration and communication skills.

Nice To Haves

Experience with Agentic AI development and AI-assisted software engineering practices.
Experience with Java and Spring Boot.
Experience with ORM frameworks and enterprise application architecture.
Experience working with relational databases (PostgreSQL, MySQL, Oracle, SQL Server, etc.).
Experience integrating AI services, machine learning capabilities, or large language models into enterprise applications.
Experience in educational technology, publishing, digital learning, or content management platforms.
Familiarity with observability platforms, monitoring solutions, and cloud operations.

Responsibilities

Technical design and architecture
Application development and integration
AI-assisted feature implementation
Automated testing and quality engineering
Cloud deployment and operational support
Performance optimization and monitoring
Production support and issue resolution
Continuous improvement of engineering practices
Design, develop, and maintain modern web applications using React, TypeScript, and Node.js.
Build scalable backend services and APIs using Python-based microservices.
Develop highly available, secure, and performant cloud-native solutions.
Collaborate with UX and product teams to deliver intuitive and engaging user experiences.
Develop and integrate AI-powered capabilities that improve content authoring, creation, assembly, and delivery workflows.
Leverage modern agentic engineering practices to automate business processes and improve operational efficiency.
Participate in the evaluation, integration, and optimization of AI services, LLM-based solutions, and intelligent workflows.
Collaborate with AI engineers and data teams to deliver AI-enhanced product capabilities.
Build solutions that enable the creation and customization of portable, platform-agnostic narrative content.
Develop systems that transform PDF-based learning materials into responsive, multimedia-rich digital experiences.
Support learning framework creation, content alignment, metadata management, and content lifecycle workflows.
Design scalable services that support large-scale content ingestion, transformation, and distribution.
Design and implement microservices architectures on AWS.
Deploy and support applications using modern CI/CD pipelines.
Develop cloud solutions utilizing: AWS Lambda, ECS, DynamoDB, S3, CloudFront
Contribute to infrastructure automation, monitoring, logging, and operational excellence initiatives.
Design and implement asynchronous and event-driven solutions.
Build integrations using messaging and queue-based technologies.
Participate in architecture discussions focused on scalability, resilience, and fault tolerance.
Write clean, maintainable, testable, and well-documented code.
Participate in code reviews and technical design reviews.
Mentor junior engineers and contribute to a culture of learning and technical excellence.
Drive continuous improvement in software quality, security, performance, and reliability.
Support agile development processes and participate in sprint planning, estimation, and retrospectives.