Senior Software Engineer

About the Business

Lexis Nexis 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.

About This Role: This position would allow you to contribute work and ideas that will allow us to keep moving and adapt to the future. Collaborative team that supports one another and values your personal and professional growth.

We are looking for a skilled mid-level Software Engineer with strong expertise in Back End Development and additional skills in Front End Development. As a member of one of our development squads, you will have the opportunity to learn and contribute to our cutting-edge solutions within the Insurance market while working in a collaborative and fast paced environment.

• Experience in Node.
  
  JS, RESTful API, and cloud computing (GCP or AWS) are a must
• Knowledge of Mongo
  
  DB and proficiency in SQL database querying (SQL or Non-SQL), NestJS, and Python
• Event-driven architecture and microservices architecture
• Experience of web forms, creating dynamic responsive UIs, state management, HTML/CSS
• Knowledge of Tanstack React Query and Vercel
• Effective communicator to various teams including developers, BAs, product managers, and QAs
• Strong analytical and problem-solving skills to develop efficient workflows and integrations
• Proficiency in Jira, Confluence, and Git Hub and experience with Git Hub source control
• A methodical and detail-oriented mindset that uses logical thinking and problem-solving capabilities

Core Development

• Design, develop, and maintain scalable full-stack applications using Type Script, React, Node.js, and NestJS.
• Build and maintain RESTful APIs and microservices to support Flyreel’s platform and integrations.
• Implement event-driven architectures to improve performance, reliability, and real-time data processing.
• Develop responsive, dynamic user interfaces that provide a seamless user experience across devices.
• Ensure high performance and responsiveness of front-end and back-end components.

Cloud and Infrastructure

• Deploy, monitor, and maintain applications in GCP or AWS environments.
• Utilize cloud services and serverless architectures (e.g., Lambda, Cloud Functions) for scalability and cost-efficiency.
• Collaborate with Dev Ops teams to streamline CI/CD pipelines and deployment workflows, particularly via Vercel for frontend services.

Data and Integration

• Work with Mongo
  
  DB and SQL/No
  
  SQL databases to design schemas, optimize queries, and maintain data integrity.
• Integrate data and workflows across internal and external systems using APIs and event-driven patterns.
• Use tools like Axios and Tanstack React Query for effective data fetching, caching, and synchronization in frontend applications.

• Collaborate closely with product managers, business analysts, QA engineers, and other developers to translate requirements into technical solutions.
• Participate in sprint planning, code reviews, and technical design discussions to ensure alignment and quality.
• Document code, system designs, and processes in Confluence and manage work items using Jira.
• Use Git Hub for version control and contribute to maintaining a clean, structured branching strategy.

• Write unit and integration tests to maintain high code quality and ensure reliability.
• Identify bottlenecks, bugs, and performance issues, and devise effective solutions.
• Participate in retrospectives to propose and implement process or technical improvements.
• Stay current with emerging technologies and best practices to enhance Flyreel’s technology stack and development workflows.

• Analyze business and technical requirements to design scalable, maintainable, and efficient systems.
• Debug complex issues…