Principal Platform Engineer — Migrations, AI & Cloud

Pearson; Nashville (TN); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Annual incentive program

Benefits package

Job summary

Pearson is seeking a principal engineer to lead the content platform transformation. You will own cross-cutting technical plans, migrations of large data assets, and shared capabilities across teams, while mentoring engineers and driving AI-enabled workflows.

You will design target architectures, code on the critical path, and balance speed with long‑term maintainability in a hands‑on role that spans cloud infrastructure, data, and content services.

Qualifications

• 12+ years building and operating production software
• 4+ years at staff or principal level or technical lead across multiple teams
• Led re-platforming or legacy migration of a production system
• Full-stack depth: Java/Spring Boot, Node.js/TypeScript, React; MongoDB and event-driven services
• Production experience on AWS including ECS Fargate, Lambda, S3, API Gateway

Responsibilities

• Own the technical plan and delivery for several tracks from design through launch
• Oversee migrations of large content/data volumes with validation
• Build shared capabilities exposed via clean APIs (media handling, search, AI content services)
• Provide honest assessment of technical debt and prioritization
• Be the technical point of contact for incidents and post-mortems
• Ensure security, stability, and disaster recovery across platforms
• Set design patterns, tooling standards, and observability practices
• Contribute to long-term technical roadmap and domain expertise

Skills

Leadership/Mentoring

Communication

Education

Bachelor's degree in CS or equivalent

Tools

AWS (ECS Fargate, Lambda)

S3

API Gateway

Terraform

GitHub Actions

New Relic/CloudWatch

OpenSearch/Solr

Job description

Pearson is seeking a principal engineer to lead the content platform transformation. You will own cross-cutting technical plans, migrations of large data assets, and shared capabilities across teams, while mentoring engineers and driving AI-enabled workflows.

You will design target architectures, code on the critical path, and balance speed with long‑term maintainability in a hands‑on role that spans cloud infrastructure, data, and content services.