Conversational AI with CCaaS
- CLOUDORA TECHNOLOGIES
1 Days Ago
NA
C2C
Phoenix-AZ, Sunrise-FL, Charlotte NC-NC
10-12 Years
Required Skills: Contact Center Data (Schema), GCP, Java Backend, API, Genesys, Data Engineering
Job Description
Must-Have
- Genesys Cloud
- CCaaS
- Conversational AI
- IVR
- NLP / NLU
- Java
- Spring Boot
- GCP (Google Cloud Platform)
- API Development
- Microservices
Job Summary:
- 8+ years of commercial software development experience.
- Proficient in developing and hosting solutions using Java, Python in cloud platforms, preferably GCP.
- 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.
- Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline (using Maven, Salt, Git, Jenkins), DevOps and Observability.
- Experience in designing & developing API, services, Micro services-based architecture using frameworks like Spring Boot or Vertx.
- Hands on experience with Kafka, Relational, and/or NoSQL databases.
- Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.
- Understanding of data structures, algorithms, design patterns, web technologies (HTTP, Apache) and familiarity with Unix/Linux
- Strong understanding of cloud security architecture, Encryption and OAuth.
- 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.
Key Responsibilities:
- Proficient in developing and hosting solutions using Java, Python in cloud platforms, preferably GCP.
- 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.
- Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline (using Maven, Salt, Git, Jenkins), DevOps and Observability.
- Experience in designing & developing API, services, Micro services-based architecture using frameworks like Spring Boot or Vertx.
- Hands on experience with Kafka, Relational, and/or NoSQL databases.
Required Skills:
Primary: Contact Center Data (Schema), GCP, Java Backend/API, Genesys, Data Engineering
Secondary: Data Engineering, Gen AI development,
