Google Cloud Platform Application Technical (Engineer)
Charlotte, Michigan, United States of America
Contract
1 week ago
$50 - $52 USD
Key skills
NoSQLAIMLNLPTensorFlowXGBoostBigQueryKafkaGoogle CloudTerraformGKEIAMCloud RunCloud FunctionsPub/SubApigeeCRMAgileCI/CD
About this role
Role: Google Cloud Platform Application Technical (Engineer)
Location : Charlotte, NC
Contract
Job Summary
- 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.