Principal Platform Engineer - Content Platform & AI Systems

Pearson

Jackson (MS)

On-site

USD 150,000 - 170,000

Full time

5 hours ago
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Benefits offered by this job

Annual incentive program

Job summary

Pearson is modernizing its content platform and you will be one of the principal engineers leading hands-on design and delivery across UI, workflow orchestration, AI, backend services, and cloud infrastructure.

You will own technical plans for migrations, shared capabilities, and a long‑term roadmap, ensure security and reliability, run incident response, and mentor teams while building scalable, observable systems on AWS.

Qualifications

  • 12+ years building and operating production software and 4+ years at staff/principal level or as tech lead across multiple teams.
  • Led re-platforming or legacy migration of a production system with active users and data.
  • Bachelor's degree in Computer Science or equivalent required.

Responsibilities

  • Write production code where risk is highest and review the hardest changes from other engineers.
  • Unblock hard technical problems spanning systems, teams, or domains.
  • Collaborate with managers, product managers, architects, and quality engineers and trade off long‑term initiatives with current delivery.
  • Mentor engineers and review critical designs to improve engineering practices.

Skills

Java
Spring Boot
Node.js
TypeScript
React
MongoDB
Kafka
SQS/SNS
AWS
ECS Fargate
Lambda
S3
API Gateway
Terraform
CI/CD

Education

Bachelor's degree in Computer Science or equivalent

Tools

OpenSearch
Solr
Redis
GitHub Actions
New Relic
CloudWatch
Terraform
API Gateway

Job description

Pearson is modernizing its content platform and you will be one of the principal engineers leading hands-on design and delivery across UI, workflow orchestration, AI, backend services, and cloud infrastructure.

You will own technical plans for migrations, shared capabilities, and a long‑term roadmap, ensure security and reliability, run incident response, and mentor teams while building scalable, observable systems on AWS.

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