Senior Software Engineer

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 Git Hub Copilot while building scalable Java, React, and Python solutions that directly improve healthcare data quality and patient outcomes?

Lexis Nexis 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

You’ll join a collaborative Healthcare engineering squad at Lexis Nexis 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.

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.

• Act as the squad's technical anchor, owning design direction and safeguarding quality, security, and performance across its applications, services, and data pipelines.
• Design/Build and maintain Java Spring Boot apps, React UI apps and Python-based data-processing and delivery pipelines, ensuring accurate, reliable, and timely data delivery to downstream clients.
• 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, integrations, and risk resolution.
• Champion AI-accelerated SDLC practices and mentor peers on effective, responsible use of approved AI tooling.

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

• Advanced proficiency in Java / J2EE and the Spring Boot framework for building RESTful microservices.
• Proficiency in JavaScript/Type Script and React for modern, component-based front ends.
• Proficiency in Python for building and maintaining data-processing and delivery pipelines—including data transformation, delta/batch file generation, validation, and automated client data delivery.
• Working knowledge of workflow orchestration and scheduled batch processing (e.g., Airflow or…