LexisNexis Risk Solutions · Dayton
Software Engineeringposted 9d ago
Are you excited by the opportunity to serve as the technical anchor of a cross-functional engineering squad, driving architecture decisions, mentoring peers, and shaping the future of a next-generation healthcare data platform?
Would you like to work in an AI-accelerated development environment where you can leverage tools like GitHub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Healthcare vertical, we help payers and providers improve data quality, operational efficiency, and member outcomes through market-leading provider data management solutions. You can learn more at https://risk.lexisnexis.com.
About the Team
You'll join a collaborative Healthcare engineering squad at LexisNexis Risk Solutions, building and modernizing the platforms behind provider data management and identity solutions for payers and providers. Our cross-functional agile teams - engineers, QA, product, and analysts - value strong technical ownership, accountability, and shared delivery. We embrace an AI-accelerated SDLC and modern Copilot-based workflows, so you'll have real influence on architecture, quality, and outcomes from day one.
About the Role
This position performs complex research, design, and software development within our provider data management product line, and is expected to serve as the technical anchor for a cross-functional engineering squad. While this is an individual-contributor role, the successful candidate will operate with a high degree of technical ownership and influence—setting design direction, guiding the team through delivery, and acting as the primary technical point of contact across product, QA, and partner squads.
You will balance hands-on engineering across a suite of full-stack Java/React applications with strong technical ownership: reviewing code, driving estimates and release readiness, resolving complex issues, and mentoring peers. You will also build and support Python-based data-processing and delivery pipelines that generate and transmit data to downstream clients, and work within our AI-accelerated software development lifecycle using approved AI coding assistants to raise quality and velocity. Over time, this role will help extend our platform toward a consolidated, next-generation healthcare data platform.
Responsibilities
Qualifications
Technical Skills
Learn more about the LexisNexis Risk team and how we work
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