Senior Software Engineer I — AI-Driven Healthcare Platform Lead

RELX INC

Columbia (SC)

On-site

USD 87,000 - 144,000

Full time

2 days ago
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Benefits offered by this job

Annual incentive bonus
Benefits package

Job summary

RELX INC in the United States is seeking a senior software engineer to serve as the technical anchor for a cross‑functional healthcare data platform, guiding architecture decisions, mentoring peers, and shaping how we deliver high‑quality data products.

You will balance hands‑on Java Spring Boot, React UI, and Python data pipelines with AI‑accelerated development tools, drive code reviews, and collaborate with product, QA, and partner squads to improve data quality and patient outcomes.

Qualifications

  • BS in Computer Science/Engineering or equivalent.
  • 5+ years of software engineering with cross-functional ownership.
  • Full-stack delivery in Java and modern JavaScript; Python data pipelines.
  • Exposure to AI-assisted development workflows.

Responsibilities

  • Own design direction and ensure quality, security, and performance.
  • Design/Build Java Spring Boot apps, React UIs, and Python pipelines.
  • Lead code reviews and drive feature delivery.
  • Refine backlog and drive sprint readiness in Agile.
  • Liaise across teams for integrations and risk resolution.
  • Mentor peers on AI tooling and SDLC practices.

Skills

Java
Spring Boot
React
Python
AI-assisted development
Azure
Docker
Kubernetes
CI/CD
GitHub Copilot

Education

BS in Computer Science/Engineering

Tools

GitHub Actions
Azure DevOps
Airflow

Job description

RELX INC in the United States is seeking a senior software engineer to serve as the technical anchor for a cross‑functional healthcare data platform, guiding architecture decisions, mentoring peers, and shaping how we deliver high‑quality data products.

You will balance hands‑on Java Spring Boot, React UI, and Python data pipelines with AI‑accelerated development tools, drive code reviews, and collaborate with product, QA, and partner squads to improve data quality and patient outcomes.

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