Manager Software Engineering
BehavioSec
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
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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