Manager Software Engineering

Would you like to be part of a team that delivers high-quality software to our customers?        Are you a visible champion with a ‘can do’ attitude and enthusiasm that inspires others?        About the Business    LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize   operational   efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,   https://risk.lexisnexis.com       About the Team    You’ll   join a collaborative squad that includes a Squad Lead, Business Analyst, Development Lead, Developers, and Testers. Our squad model encourages teamwork, shared responsibility, and efficient delivery—everyone contributes to achieving a common goal.     About the Role    We are looking for a Manager, Software Engineering to lead and support a high‑performing engineering team focused on building scalable, secure, and production‑ready AI-powered solutions. This role blends   people   leadership, technical guidance, and architectural ownership, with a strong emphasis on collaboration, continuous learning, and responsible   innovation. You   will work closely with product, project, and engineering partners to deliver reliable software across the full development lifecycle, while mentoring engineers and shaping the technical direction of AI initiatives.   Responsibilities:    Lead, mentor, and support a diverse team of software engineers across the full development lifecycle   Provide   hands-on technical guidance in Java and Python to build scalable, maintainable systems   Lead an AI R&D squad, supporting experimentation and transition of ideas into production solutions   Guide system architecture for AI-enabled platforms, including microservices and APIs   Promote secure, reliable, and high-quality engineering practices through design and code reviews   Enable effective delivery using agile planning, prioritization, and collaboration   Champion DevOps and reliability practices such as CI/CD, monitoring, and incident readiness   Partner with leadership on hiring, onboarding, growth, and team capacity planning      Requirements:      Experience leading and supporting software engineering teams in a collaborative environment   Strong working knowledge of Java , microservice     Good to have python, React understanding. Understanding of Azure   Practical understanding of AI/ML concepts, including Generative AI and NLP   Experience designing or supporting distributed systems using microservices and APIs   Familiarity with cloud platforms and services (Azure or similar)   Knowledge of DevOps practices, including CI/CD and observability   Awareness of application and code security best practices   Clear communication skills and ability to work with technical and non-technical stakeholders       Learn more about the LexisNexis Risk team and how we work     

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