Java Full Stack Developer

Position: Java Full Stack Developer
Location: Charlotte, NC (Hybrid)
Duration: Contract
Must have- CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot, Kafka, AI/ML(Sarima/Prophet), Release Management(Maven/Git) Skills- Google Cloud Platform; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, SVN); SQL; RDBMS; Java; Kafka

Job Description:

We are looking for an experienced Java Full Stack / CCaaS & Conversational AI Engineer with 4+ years of experience in software development and cloud-based customer experience platforms. The ideal candidate should have expertise in Java, Microservices, Google Cloud Platform, CCaaS technologies, and AI-driven conversational solutions.

• 4+ years of commercial software development experience.             
• Good knowledge with Understanding of model lifecycle, good understanding of data structures, algorithms, and design patterns
• Design and implement scalable CCaaS and IVA solutions leveraging leading cloud and enterprise conversational AI/customer service solutions, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech.              
• Develop secure, resilient cloud infrastructure on major cloud service providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.  
• Implement and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.       
• Experience in integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to cloud-based solutions.  
• Design, develop, and maintain data pipelines, models, and datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.             
• Experience building and integrating AI/ML solutions such as XGBoost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems.   
• Understanding of the model lifecycle, including evaluations, hyperparameter tuning, ongoing monitoring, model governance, bias mitigation, and explainability.           
• Experience with Agile development, CI/CD, DevOps, and observability.    
• Hands-on experience with Kafka, relational databases, and/or NoSQL databases.       
• Understanding of data structures, algorithms, and design patterns.           
• Proactively identifies continuous improvement opportunities beyond the obvious.