Data Engineer - CCaaS

TechDigital Group; Charlotte (NC); On-site; USD 80,000 - 110,000; Full time

Job summary

TechDigital Group is looking for an experienced software developer with over 4 years of experience, specializing in cloud infrastructure, CCaaS, and AI/ML solutions. The role involves designing and implementing scalable customer service solutions and developing resilient cloud infrastructures required for superior client experiences.

The ideal candidate will have a strong background in GCP, Java, and Kafka. Additionally, expertise in implementing CI/CD processes and understanding model lifecycle is necessary for delivering high-quality software projects.

Qualifications

• 4+ years of commercial software development experience.
• Hands-on experience with cloud infrastructure and APIs.
• Experience with AI/ML solutions and data pipelines.

Responsibilities

• Design and implement scalable CCaaS and IVA solutions.
• Develop secure cloud infrastructure using major cloud services.
• Implement and optimize CCaaS solutions for compliant operations.
• Experience building and integrating AI/ML solutions into systems.

Skills

GCP

CI/CD

Maven

Jenkins

Git (GitHub, GitLab, BitBucket, SVN)

SQL

RDBMS

Java

Kafka

CCaaS/CTI/CRM

IVA

IVR

Microservices

Springboot

AI/ML (Sarima/Prophet)

Tools

Terraform

BigQuery

Pub/Sub

GKE

Cloud Run

Cloud Functions

Job description

Skills

Skill: GCP; CI/CD; Maven; Jenkins; Git (GitHub, GitLab, BitBucket, 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

1. 4+ years of commercial software development experience.
2. 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.
3. 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.
4. 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.
5. 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.
6. Design, develop, and maintain data pipelines, models, and datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.
7. Experience building and integrating AI/ML solutions such as XGBoost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems.
8. Understanding of the model lifecycle, including evaluations, hyperparameter tuning, ongoing monitoring, model governance, bias mitigation, and explainability.
9. Experience with Agile development, CI/CD, DevOps, and observability.
10. Hands-on experience with Kafka, relational databases, and/or NoSQL databases.
11. Understanding of data structures, algorithms, and design patterns.
12. Proactively identifies continuous improvement opportunities beyond the obvious.