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Data Engineer - CCaaS

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-07-04
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

Skills

Skill: GCP; CI/CD;
Maven;
Jenkins;
Git (Git Hub, Git Lab, Bit Bucket, SVN); SQL; RDBMS;
Java;
Kafka

Must Have Tech

Must have Tech:
Experience 4+ Years

Skills:

CCaaS/CTI/CRM, IVA, IVR, Java, Microservices, Springboot, Kafka, AI/ML(Sarima/Prophet), Release Management (Maven/Git)

Good to Have Tech

Good to have Tech:
Good knowledge with Understanding of model lifecycle, Good understanding of data structures, algorithms and design patterns

Responsibilities & Qualifications
  • 4+ years of commercial software development experience.
  • 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 Big Query, 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 Tensor Flow 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, Dev Ops, and observability.
  • Hands-on experience with Kafka, relational databases, and/or No

    SQL databases.
  • Understanding of data structures, algorithms, and design patterns.
  • Proactively identifies continuous improvement opportunities beyond the obvious.
  • #J-18808-Ljbffr
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