Senior Software Engineer

Pearson is the world's lifelong learning company, dedicated to helping people realize their potential through education. They are seeking a Senior Full-Stack Software Engineer to join their Enterprise Learning & Skills team to build and scale a large-scale, API-driven platform for digital credentials. The role involves designing and maintaining services, mentoring junior engineers, and collaborating with stakeholders to deliver technical solutions.

Responsibilities:

• Design, build, and maintain Ruby on Rails services and APIs alongside modern JavaScript/React frontends, taking responsibility for their quality, performance, and reliability
• Lead the design and delivery of complex, well-scoped features and systems end to end
• Write clear, maintainable, well-tested code and reduce complexity by simplifying services, improving patterns, and paying down technical debt
• Mentor junior engineers and level up the team through code reviews, feedback, and knowledge sharing
• Evolve the platform to support new services and capabilities, including work across adjacent codebases and domains
• Partner with external vendors and stakeholders across Product and Customer Success to turn requirements into sound technical solutions
• Use AI-assisted development tools for coding, testing, and debugging
• Follow and promote best practices for secure, scalable, cloud-native web application development

Requirements:

• 7+ years of professional software development experience
• Proficiency with our core stack: Ruby on Rails, React, AWS, and PostgreSQL
• Proven track record of making high-impact technical decisions in complex production environments, shipping well-tested code, and giving constructive code reviews
• Excellent cross-functional communication, equally effective with engineers and non-technical stakeholders
• Experience in software architecture, system design, and scalability with a strong hands-on background
• Experience mentoring or supporting junior engineers
• Experience with distributed or service-oriented systems and asynchronous, event-driven communication between services
• Comfort working across more than one codebase and ramping quickly into unfamiliar systems
• You should be comfortable using AI tools to assist with coding, testing, documentation, and learning, and, importantly, exercising sound engineering judgment about their output. This means validating AI-generated code, knowing when to rely on it and when not to and staying curious about how AI can responsibly improve developer productivity across the team
• Hands-on experience designing, deploying, and operating production workloads on AWS and Azure
• Experience building and improving CI/CD pipelines and automated deployment practices that raise delivery velocity across the team
• Experience integrating with, or building alongside, third-party or vendor-delivered services
• Strong understanding of web application security best practices with a track record of raising the security bar across a codebase
• Experience with design systems, component libraries, or advanced frontend tooling
• Experience with scalability, resilience, or performance work at scale
• Experience with messaging or event-streaming systems such as Apache Pulsar or Apache Kafka