Google Cloud Platform Application Engineer

Charlotte, NC, US • Posted 1 day ago • Updated 10 hours ago
Contract Corp To Corp
Contract W2
12 Months
On-site
$70+
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/ML solutions such as XGBoost
  • SARIMA
  • Prophet
  • TensorFlow
  • prompt-engineering
  • CI/CD
  • DevOps
  • NoSQL
  • Kafka
  • Agile

Summary

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.

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: 91131463
  • Position Id: 9025578
  • Posted 1 day ago

Company Info

About Saim Technologies

Saim Technologies provides a variety of services related to Information Technology and out sourcing and has been recognized as a one of the emerging leader in software solutions. We provide custom software development, Staffing, Training and engineering services. We offer Enterprise level web based applications, web services, technical resources, Enterprise level database, software hosting, technical support services, routine programming, and more.

Our IT services focus on providing you with increased business performance by leveraging our technological expertise, business knowledge, process quality, and people. Our dedicated Centers of Excellence and practices around each of our service offerings enable us to continuously improve processes, retain project learning, and expand knowledge repositories to deliver consistent value.

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KP

Kishore Poolavaram

Recruiter @ Saim Technologies
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