Senior Software Engineer I — AI-Driven Healthcare Platform

Nextens; United States; Remote; USD 87,000 - 144,000; Full time

Benefits offered by this job

Annual incentive bonus

Country-specific benefits

Job summary

LexisNexis Risk Solutions in the United States seeks a senior software engineer to serve as the technical anchor for a cross-functional squad. You will steer architecture decisions, own delivery, and mentor peers while evolving a next-generation healthcare data platform.

You will work in an AI-accelerated environment building scalable Java, React, and Python solutions that improve provider data quality and patient outcomes.

Qualifications

• BS in Computer Science/Engineering or equivalent experience.
• 5+ years of software engineering with ownership of technical direction.
• Proven full-stack delivery in Java and React with Python data pipelines.
• Exposure to AI-assisted development workflows.

Responsibilities

• Act as the squad’s technical anchor, guiding design and ensuring quality, security, and performance across its applications, services, and data pipelines.
• Design/Build Java Spring Boot apps, React UI, and Python data pipelines for accurate data delivery to clients.
• Lead code reviews and drive estimates and release readiness; mentor peers.
• Drive backlog refinement 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 AI tooling.

Skills

Full-stack Java

React

Python data pipelines

AI-assisted development

Mentoring peers

Education

BS in Computer Science/Engineering

Tools

Azure

Docker

Kubernetes

Airflow

GitHub Actions

Azure DevOps

Job description

LexisNexis Risk Solutions in the United States seeks a senior software engineer to serve as the technical anchor for a cross-functional squad. You will steer architecture decisions, own delivery, and mentor peers while evolving a next-generation healthcare data platform.

You will work in an AI-accelerated environment building scalable Java, React, and Python solutions that improve provider data quality and patient outcomes.