Note: The job is a remote job and is open to candidates in USA. Pearson is a global leader in lifelong learning, and they are seeking a Senior Full-Stack Software Engineer to join their Enterprise Learning & Skills engineering team. The role involves building and evolving a large-scale, API-driven platform for issuing and verifying digital credentials, while mentoring junior engineers and contributing to architectural decisions.
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
Skills
- 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
Benefits
- This position is eligible to participate in an annual incentive program
Company Overview