About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide 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. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle - all while reducing risk. You can learn more about LexisNexis Risk at the link below. https://risk.lexisnexis.com/insurance
About the Team
You will join a high-performing Architecture and Engineering organization focused on building scalable, secure, and resilient technology solutions. The team partners closely with Platform, Shared Services, and cross-functional architecture groups to ensure alignment between technical strategy and business priorities.
With a strong emphasis on innovation, governance, and continuous improvement, the team drives best practices in system design, performance optimization, and cost efficiency, while fostering a collaborative and knowledge-sharing environment.
About the Role
In this role, you will lead software architecture design and governance for complex, distributed systems. You will define technical direction, establish standards, and ensure systems are designed to meet scalability, security, and resilience requirements.
You will act as a key liaison between Enterprise Architecture and Engineering teams, translating strategic objectives into actionable guidance. Additionally, you will mentor development teams, promote adoption of modern technologies, and proactively improve system health, performance, and cost efficiency through strong architectural oversight.
Responsibilities
Lead architecture design and governance by defining and enforcing standards, patterns, and best practices
Serve as a conduit between Enterprise Architects and Engineering/Development teams to ensure alignment with business goals
Partner with cross-functional architects and technical teams to drive consistency and innovation across systems
Provide mentorship, training, and technical guidance to support team development and delivery
Evaluate emerging technologies and recommend solutions aligned to business needs
Lead resolution of complex technical issues by identifying root causes and coordinating resources
Translate technical findings into actionable solutions, including risk and impact assessments
Drive architecture evolution through design reviews and hands-on technical leadership
Monitor system health, performance, and cost trends; develop recommendations to address risks and inefficiencies
Identify opportunities to evolve reusable components into shared infrastructure or platform capabilities
Conduct ongoing research into industry trends and emerging technologies to enhance organizational capabilities
Foster collaboration, inclusivity, and effective communication across teams and stakeholders
Support additional responsibilities as needed
Requirements
Experience & Education
10+ years of experience in software, systems, or network engineering
Bachelor's degree in Engineering, Computer Science, or equivalent experience required; advanced degree preferred
Technical Skills
Excellent foundation in programming, software development, and database technologies
Expert-level experience with Java/JEE and the Spring ecosystem (Spring Boot, REST APIs, Security, Cloud, Data)
Proven experience designing large-scale, distributed, cloud-native microservices architectures
Deep understanding of object-oriented design, design patterns, domain-driven design (DDD), and event-driven systems
Experience with relational and NoSQL databases (e.g., MySQL, MongoDB, Azure Cosmos DB, AWS DynamoDB), including data modeling and high-availability patterns
Hands-on experience with cloud platforms (AWS and/or Azure), containerization (Docker), and orchestration (Kubernetes, Azure ACA, AWS ECS)
Experience with DevOps practices and tools (Maven, CI/CD pipelines, GitHub, TDD, automated testing)
Knowledge of observability tools such as OpenTelemetry and Grafana
Experience integrating AI into applications, including familiarity with LLM concepts and AI-assisted development workflows
Proficiency in programming languages such as Java, Python, C++, and web technologies (HTML)
Professional Skills
Proven project planning, prioritization, and change management capabilities across multiple teams and initiatives
Advanced problem-solving skills with experience leading complex issue resolution efforts
Excellent verbal and written communication skills with the ability to engage technical and non-technical stakeholders, including senior leadership
Advanced interpersonal and collaboration skills with the ability to influence and build relationships across teams
Demonstrated ability to research, evaluate, and apply new technologies effectively