LexisNexis Risk Solutions

Senior Software Engineer I building and supporting Java-based software for insurance risk solutions. The role focuses on backend development, distributed systems, cloud services, troubleshooting, and technology modernization.

Build and scale secure cloud platforms for data-driven insurance solutions as a Senior DevOps Engineer. The role combines cloud infrastructure, automation, reliability, developer experience, and Java/Spring Boot application development.

Serve as the technical advisor throughout the customer lifecycle, helping organizations evaluate, integrate, and maximize the value of ICIS data platforms and analytics solutions. You will lead technical discovery, solution design, validation, and customer discussions around data and AI ecosystems.

Senior Quality Test Engineer II responsible for building scalable automated testing frameworks and advancing software quality across web, API, and end-to-end applications. The role uses Playwright, TypeScript, Selenium, and modern CI/CD tooling while mentoring QA engineers and shaping quality strategy.

Senior Software Engineer II building and maintaining customer-focused software solutions with Python, cloud services, SQL Server, and LLM-powered applications. The role combines hands-on development, AI application engineering, technical troubleshooting, and mentoring.

Site Reliability Engineer II supporting cloud infrastructure, application provisioning, deployment automation, and incident resolution for LexisNexis Risk Solutions’ Insurance applications. The role offers hands-on exposure to Azure, infrastructure as code, automation, monitoring, and security practices.

Lead complex software development initiatives as a senior technical expert, writing scalable code and mentoring developers across collaborative engineering squads. The role focuses on full-stack applications using Java, Spring Boot, JavaScript, and Angular.

Build practical AI-powered features that help tax professionals make faster, more reliable decisions using trusted fiscal data. This medior role focuses on Python, backend services, LLM applications, RAG, workflow automation, and AI-generated insights.