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Google Cloud Platform Application Engineer
Saim TechnologiesCharlotte, NC🇺🇸United StatesPosted 14 Jul 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Role: Google Cloud Platform Application Engineer
Location : Charlotte, NC Onsite
Duration: Long Term Contract
Job Summary
- 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.
Skills
Encryption
NLP
Agile
BigQuery
Google Cloud
Kafka
TensorFlow
Terraform
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