AI-Driven Senior Software Engineer – Healthcare Data

RELX INC

Charleston (WV)

On-site

USD 87,000 - 144,000

Full time

6 days ago
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Job summary

RELX INC, LexisNexis Risk Solutions, is seeking a technical anchor for a cross-functional Healthcare engineering squad in the United States. You will mentor peers, drive architecture decisions, and shape the future of a next-generation healthcare data platform.

Work in an AI-accelerated development environment building scalable Java, React, and Python solutions that improve data quality and patient outcomes while partnering with product, QA, and partner squads.

Qualifications

  • BS in Computer Science/Engineering or equivalent experience.
  • 5+ years of software engineering experience, with ownership of technical direction on a cross-functional team.
  • Proven full-stack delivery in Java and a modern JavaScript framework, plus Python data-processing experience.
  • Exposure to AI-assisted development workflows.

Responsibilities

  • Act as the squad’s technical anchor, owning design direction and safeguarding quality, security, and performance across applications, services, and data pipelines.
  • Design/Build and maintain Java Spring Boot apps, React UI apps and Python data-processing pipelines for accurate data delivery.
  • Lead code reviews and uphold coding best practices; complete complex feature development and bug fixes.
  • Drive backlog refinement, technical estimation, and sprint/release readiness in an Agile environment.
  • Serve as the primary technical liaison for cross-team dependencies and risk resolution.
  • Champion AI-accelerated SDLC practices and mentor peers on effective use of AI tooling.

Skills

Java
Spring Boot
React
Python
AI tooling

Education

BS in Computer Science or Engineering

Tools

GitHub Copilot
Azure
Docker
Kubernetes
Airflow

Job description

RELX INC, LexisNexis Risk Solutions, is seeking a technical anchor for a cross-functional Healthcare engineering squad in the United States. You will mentor peers, drive architecture decisions, and shape the future of a next-generation healthcare data platform.

Work in an AI-accelerated development environment building scalable Java, React, and Python solutions that improve data quality and patient outcomes while partnering with product, QA, and partner squads.

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