Java/AI Developer

Job DescriptionDevelop and maintain enterprise-grade Java applications that integrate AI/ML models into production systemsBuild scalable, highly available services supporting AI-driven automation and decisioningDevelop and support event-driven architectures using Kafka for real-time data and model executionWork with distributed data stores (Cassandra and similar NoSQL technologies) to support large-scale AI workloadsOperate applications across Azure Cloud and Google Cloud Platform environmentsCollaborate with ML and data engineering teams to integrate Python-based AI models into Java servicesEnsure code quality, system reliability, observability, and performance across the application lifecycleWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.Skills and Requirements5+ years of professional Java software development experience in an enterprise environmentHands-on experience with:JavaAzure CloudGoogle Cloud PlatformApache KafkaCassandra (or similar NoSQL databases)Python (for AI/ML integration or supporting services)Experience building or supporting AI/ML pipelines in productionProven experience supporting production systems at scale, including monitoring, troubleshooting, and optimizationStrong understanding of microservices, APIs, and event-driven architectures