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LexisNexis Risk Solutions is seeking a Software Engineer III to design and build scalable data integration systems that power their insurance risk solutions platform. You will develop web scraping solutions, API integrations, automated workflows, and microservices that enable efficient collection and processing of data from diverse external sources.
In this role, you will:
- Design, develop, and maintain web scraping applications using Puppeteer, Playwright, and Selenium to collect data from external sources
- Build and support API integration services that reliably retrieve and process data from third-party systems
- Develop automated workflows for scheduling, monitoring, validation, and error handling of data ingestion processes
- Design and implement scalable microservices that support data collection and routing within the platform
- Develop robust backend services and APIs that enable secure and efficient integration with internal and external systems
- Implement monitoring, logging, alerting, and operational tooling to maintain high service availability
- Troubleshoot production issues and optimize application performance
- Partner with product managers, engineers, and stakeholders to deliver effective technical solutions
- Contribute to code reviews, technical design discussions, documentation, and continuous improvement initiatives
You'll join a collaborative engineering team that values knowledge sharing, continuous learning, and balancing technical excellence with delivery. The team works closely with cross-functional partners across backend, frontend, and cloud infrastructure.
REQUIREMENTS:
- Experience building production-grade backend applications, integration systems, or distributed services
- Strong hands-on experience with Node.js and TypeScript
- Experience developing and maintaining web scraping solutions using Puppeteer, Playwright, or Selenium
- Solid understanding of REST APIs, asynchronous programming, and integration patterns
- Experience with microservices architecture, service communication, containerization, and deployment patterns
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience building automated workflows, scheduling systems, and reliable integration pipelines
- Understanding of authentication mechanisms, rate limiting, API security, and error-handling strategies
- Experience working with databases and data processing systems
- Strong debugging, analytical, and problem-solving skills
- Minimum 2 hours overlap with Pacific Time (PT) OR minimum 4-5 hours overlap with India Standard Time (IST)
NICE TO HAVE:
- Experience with diverse data formats (JSON, XML, CSV) and third-party APIs
- Knowledge of Infrastructure as Code (Terraform, CloudFormation)
- Experience with workflow orchestration and automation tools
- Exposure to healthcare, clinical, or regulated data environments
- Understanding of distributed systems and event-driven architectures
