Google Cloud Platform Application Technical (Engineer)

Charlotte, NC, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Google Cloud Platform
  • Artificial Intelligence
  • Customer Relationship Management (CRM)
  • XGBoost
  • Virtual Private Cloud
  • ACD
  • Customer Service
  • Customer Experience
  • Google Cloud
  • Machine Learning (ML)
  • Natural Language Processing
  • TensorFlow
  • Terraform

Summary

Job Description:

  • 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.

 

Key Responsibilities

  • 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.

 

Skill Requirements

  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099677
  • Position Id: 9010718
  • Posted 10 hours ago
Contact the job poster
AK

Anuradha Karod

Recruiter @ Talent Groups
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