GCP Application Technical Specialist

HCL America Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 161K

Job location

Tech stack

Java
API
Agile Methodologies
Artificial Intelligence
Google BigQuery
Cloud Computing
Computer Telephony Integration
Continuous Integration
Data Architecture
Data Structures
DevOps
Identity and Access Management
Session Initiation Protocols
Python
NoSQL
Commercial Software
Cloud Services
TensorFlow
Systems Integration
Speech Recognition
WebRTC
Prophet
System Availability
Prompt Engineering
Apigee
Amazon Web Services (AWS)
Google Cloud Functions
XGBoost
Kafka
Data Management
Speech Synthesis
Terraform
Webhooks
Natural Language Understanding

Job description

Architect, implement, and optimize CCaaS solutions, including ACD (Automatic Call Distribution), skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.5. Have experience in leading integrations and migrations leveraging CCaaS APIs and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WebRTC, security configuration, and transition from legacy contact center platforms to Cloud based solutions.6. Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.

Requirements

Do you have experience in Team leadership?, 8+ years of commercial software development experience using Java and/or Python. 2. Design and implement scalable CCaaS and IVA solutions leveraging leading Cloud and enterprise conversational AI / customer service solutions including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech.3. Architect secure, resilient cloud infrastructure on major cloud services provider using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing 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, prompt engineering and TensorFlow into production systems.8. Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.9. Experience with Agile development, CI/CD, DevOps and Observability.10. Hands on experience with Kafka, Relational, and/or NoSQL databases. 11. Experience in Data Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.12. Understanding of data structures, algorithms, and design patterns13. Looks proactively beyond the obvious for continuous improvement opportunities.14. Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.

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