Google Cloud Platform Application Technical (Engineer)

SunRay Enterprise Inc
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

API
Agile Methodologies
Artificial Intelligence
Google BigQuery
Cloud Computing
Computer Telephony Integration
Continuous Integration
Data Structures
Relational Databases
Software Design Patterns
DevOps
Identity and Access Management
Session Initiation Protocols
Machine Learning
NoSQL
Commercial Software
TensorFlow
Systems Integration
Speech Recognition
WebRTC
Google Cloud Platform
Prophet
System Availability
Prompt Engineering
Apigee
Amazon Web Services (AWS)
Google Cloud Functions
XGBoost
Kafka
Data Management
Terraform
Webhooks
Natural Language Understanding

Job description

  • Implement and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialers, omnichannel capabilities, and campaign management while ensuring scalable, secure, and compliant contact center operations.
  • Lead integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configurations, and migration from legacy contact center platforms to cloud-based solutions.
  • Design, develop, and maintain data pipelines, models, and datasets supporting CCaaS data platforms while ensuring data quality, reliability, security, and compliance.

Requirements

  • 8+ years of commercial software development experience.
  • Design and implement scalable CCaaS and IVA solutions leveraging leading cloud and enterprise conversational AI/customer service platforms, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech capabilities.
  • Develop secure and resilient cloud infrastructure on Google Cloud Platform using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery. Experience with IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms., * Experience building and integrating AI/ML solutions such as XGBoost, SARIMA, Prophet, TensorFlow, and prompt-engineering-based applications into production environments.
  • Strong understanding of the ML model lifecycle, including evaluation, hyperparameter tuning, monitoring, governance, bias mitigation, and explainability.
  • Experience with Agile development methodologies, CI/CD, DevOps, and observability practices.
  • Hands-on experience with Kafka, relational databases, and/or NoSQL databases.
  • Strong understanding of data structures, algorithms, and design patterns, with a proactive mindset toward continuous improvement.

Apply for this position