CCaaS Data Engineer

Hptech Inc.

United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence BigQuery Cloud Computing Computer Telephony Integration Continuous Integration Data Structures Relational Databases Software Design Patterns DevOps Identity and Access Management

+22 more

Session Initiation Protocols Machine Learning NoSQL Commercial Software Cloud Services Tensorflow Systems Integration Speech Recognition WebRTC Prophet System Availability Prompt Engineering Apigee Amazon Virtual Private Cloud (VPC) Google Cloud Functions Xgboost Apache Kafka Data Management Speech Synthesis Terraform Webhooks Natural Language Understanding

Requirements

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 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.