CBase Inc
GCP Application Technical
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Application Technical Engineer in Charlotte, NC or Sunrise, FL, with a contract length of "unknown" and a pay rate of "unknown." Requires 10+ years in software development, expertise in GECX, CCaaS, and AI/ML solutions, and strong cloud infrastructure skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#CRM (Customer Relationship Management) #Data Quality #GCP (Google Cloud Platform) #IAM (Identity and Access Management) #TensorFlow #VPC (Virtual Private Cloud) #Scala #Databases #Migration #BigQuery #Terraform #ML (Machine Learning) #Data Pipeline #Agile #Security #DevOps #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Monitoring #NLU (Natural Language Understanding) #Datasets #Compliance #Cloud #NoSQL #Infrastructure as Code (IaC) #Kafka (Apache Kafka) #Observability
Role description
Role: GCP Application Technical (Engineer)
Location : Charlotte, NC / Sunrise, FL
Any visa on W2 except 1hb
Job Summary
Note : For this role GECX(Gemini Enterprise for Customer Experience, Google Cloud's conversational AI and agentic platform). Is mandatory skill.
• 10+ 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.
Role: GCP Application Technical (Engineer)
Location : Charlotte, NC / Sunrise, FL
Any visa on W2 except 1hb
Job Summary
Note : For this role GECX(Gemini Enterprise for Customer Experience, Google Cloud's conversational AI and agentic platform). Is mandatory skill.
• 10+ 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.
