Platform Lead: AI-Powered Content & Cloud Services

Pearson

Jefferson City (MO)

On-site

USD 150,000 - 170,000

Full time

3 hours ago
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Benefits offered by this job

Annual incentive program

Job summary

Pearson is seeking a principal engineer to lead hands-on work modernizing its content platform. You will design target systems, migrate large content/data assets, craft reusable capabilities, and manage technical debt with a clear, costed plan.

You will work across teams, review critical designs, mentor engineers, and drive AI-enabled workflows while ensuring security, reliability, and scalable performance in a multi-service cloud environment.

Qualifications

  • 12+ years building and operating production software.
  • 4+ years at staff or principal level, or as technical lead across several teams or a large multi-service system.
  • Led a re-platforming or legacy migration of a production system with active users and data.
  • Full-stack depth in Java and Spring Boot, Node.js/TypeScript, and React with MongoDB and event-driven services.

Responsibilities

  • Write production code on critical paths and review the hardest changes.
  • Unblock hard technical problems that span systems, teams, or domains.
  • Mentor engineers and improve engineering practices across teams.
  • Define problem statements and drive architecture decisions with evidence-based tradeoffs.
  • Evaluate frameworks, tools, and vendors and pilot modern practices like zero-downtime migrations.

Skills

System design
Leadership
Full-stack
Cloud

Education

Bachelor's degree in Computer Science

Tools

AWS
SQS/SNS
Kafka
OpenSearch
Redis
Terraform
GitHub Actions

Job description

Pearson is seeking a principal engineer to lead hands-on work modernizing its content platform. You will design target systems, migrate large content/data assets, craft reusable capabilities, and manage technical debt with a clear, costed plan.

You will work across teams, review critical designs, mentor engineers, and drive AI-enabled workflows while ensuring security, reliability, and scalable performance in a multi-service cloud environment.

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