Job Description
Develop and maintain enterprise‑grade Java applications that integrate AI/ML models into production systems
Build scalable, highly available services supporting AI‑driven automation and decisioning
Develop and support event‑driven architectures using Kafka for real‑time data and model execution
Work with distributed data stores (Cassandra and similar NoSQL technologies) to support large‑scale AI workloads
Operate applications across Azure Cloud and Google Cloud Platform environments
Collaborate with ML and data engineering teams to integrate Python‑based AI models into Java services
Ensure code quality, system reliability, observability, and performance across the application lifecycle
We 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/.
Required Skills & Experience
5+ years of professional Java software development experience in an enterprise environment
Hands‑on experience with:
Java
Azure Cloud
Google Cloud Platform
Apache Kafka
Cassandra (or similar NoSQL databases)
Python (for AI/ML integration or supporting services)
Experience building or supporting AI/ML pipelines in production
Proven experience supporting production systems at scale, including monitoring, troubleshooting, and optimization
Strong understanding of microservices, APIs, and event‑driven architectures
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.