CCaaS Java Engineer
Sunrise, Florida, United States of America
Contract
17 hours ago
Key skills
PythonJavaNoSQLAIMLNLPTensorFlowXGBoostBigQueryKafkaTerraformGKEIAMCloud RunCloud FunctionsPub/SubApigeeGitCRMAgileCI/CDLeadershipCommunication
About this role
CCaaS Java Engineer
Must Have
Skills: CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot,Kafka, AI/ML(Sarima/Prophet), Release Management(Maven/Git)
- 8+ years of commercial software development experience using Java and/or Python.
- 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, speech-to-text/text-to-speech.
- Architect secure, resilient cloud infrastructure on major cloud services provider 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.
- Architect, 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.
- Have experience in leading 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/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 model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
- Experience with Agile development, CI/CD, DevOps and Observability.
- Hands on experience with Kafka, Relational, and/or NoSQL databases.
- Experience in Data Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.
- Understanding of data structures, algorithms, and design patterns.
- Looks proactively beyond the obvious for continuous improvement opportunities.
- Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
- Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.