Consulting/Principal Software Engineer

Are you passionate about building scalable, modern software solutions that make complex data more accessible and actionable?

Do you enjoy leading technical design, mentoring engineers, and working across the full technology stack to deliver high-impact products?

LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/

Bankers Almanac® Payments corrects and enriches payments information so that the instructions your organization sends better meet global banking requirements, have fewer errors, and are routed more efficiently. We are a global engineering team working across diverse platforms and technologies that are mission-critical to our customers, with demanding requirements for performance, security, and availability.

This position provides assistance and input to management, develops and leads large multifunctional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.

• →Serve as a primary technical point of contact for external technology resources.
• →Provide design input across a product and work directly with customers and end users.
• →Serve as an acknowledged go-to person on coding and technical issues.
• →Interface with other technical personnel or team members to finalize requirements.
• →Write and review portions of detailed specifications for the development of system components of moderate complexity.
• →Design and work with complex data models and complete complex bug fixes
• →Mentor lead software developers interested in consultancy on development methodologies and optimization techniques.

• Experience developing modern front-end applications using React, Next.js, TypeScript, JavaScript (ES6+), HTML5, CSS3, Tailwind CSS, Material UI, and Ant Design.
• Expertise in single-page applications, micro-frontends (Module Federation, Nx), component-driven development, design systems, responsive UI design, and accessibility-first development including WCAG, ARIA, keyboard navigation, and accessibility testing.
• Strong experience designing and building back-end solutions using Java, Spring Boot, Spring Cloud, microservices architecture, REST/SOAP APIs, JSON/XML, and modern integration patterns.
• Experience with API and integration strategies including BFF, API aggregation, GraphQL, event-driven architecture, and service decoupling.
• Hands-on experience with Kafka and/or Kinesis, asynchronous messaging patterns, and event-driven systems.
• Experience working with Elastic/OpenSearch, PostgreSQL, MySQL, NoSQL databases, data modeling, SQL optimization, and multi-database integration.
• Knowledge of security and authentication technologies including SSO, Auth0, OAuth 2.0, secure session management, and secure application design.
• Experience with graph databases including Neo4j or Neptune, Apache TinkerPop, and Gremlin.
• Experience with testing frameworks and practices including Jest, React Testing Library, Cypress, Playwright, and test-driven development.
• Experience building and maintaining CI/CD pipelines using Docker, Kubernetes, EKS, Jenkins, GitHub Actions, Git, automated testing, and release automation.
• Experience working with AWS services including EC2, S3, Lambda, API Gateway, CloudFront and/or Azure, along with monitoring tools such as Grafana.
• Experience using Git, GitHub, Jira, and Figma in collaborative software delivery environments.
• Familiarity with AI-powered development tools and techniques that improve engineering productivity.

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