Google Cloud Platform Application Technical Lead

SunRay Enterprise Inc

Sunrise, FL, United States

about 2 months ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence BigQuery Cloud Computing Computer Telephony Integration Continuous Integration Data Structures Relational Databases Software Design Patterns DevOps Identity and Access Management

+22 more

Session Initiation Protocols Machine Learning NoSQL Commercial Software Tensorflow Systems Integration Speech Recognition WebRTC Google Cloud Prophet System Availability Prompt Engineering Apigee Amazon Virtual Private Cloud (VPC) Google Cloud Functions Xgboost Apache Kafka Data Management Speech Synthesis Terraform Webhooks Natural Language Understanding

Job description

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.

Requirements

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., * 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.