CCaaS Google Data Engineer

Q1 Technologies, Inc.
Aurora, CO, United States
8 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Training Data Java (Programming Language) Automatic Call Distributor Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence JIRA Interactive Voice Response Big Data BigQuery Cloud Computing Cloud Storage
+49 more
Databases Computer Telephony Integration Continuous Delivery Continuous Integration Data Architecture Extract Transform Load (ETL) Data Structures Relational Databases Software Design Patterns DevOps Apache Hive Infrastructure as a Service (IaaS) Identity and Access Management Session Initiation Protocols Python (Programming Language) Machine Learning Apache Maven Natural Language Processing Routing NoSQL Commercial Software Scrum Methodology Cloud Services Tensorflow Scala (Programming Language) Software Engineering SQL Databases Systems Integration Speech Recognition WebRTC Scripting Google Cloud Prophet System Availability Large Language Models Prompt Engineering Apache Spark Apigee Amazon Virtual Private Cloud (VPC) Git Google Cloud Functions Xgboost Apache Kafka Data Management Speech Synthesis Terraform Webhooks Natural Language Understanding Jenkins

Requirements

4+ years of commercial software development experience.

Cloud, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD, Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage and Big Query, ETL, Data Modeling Python, AI/ML, Tensorflow, LLM, GenAI Develop 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.

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.

Have experience in 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.

Design, develop, and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality, reliability, security, and compliance.

Experience building and integrating AI/ML solutions such as Xgboost, SARIMA, Prophet, prompt engineering and TensorFlow into production systems.

Understanding model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.

Experience with Agile development, CI/CD, DevOps and Observability.

Hands on experience with Kafka, Relational, and/or NoSQL databases.

Understanding of data structures, algorithms, and design patterns Looks proactively beyond the obvious for continuous improvement opportunities.

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.

Role Descriptions: 8 plus years of commercial software development experience using Java and/or Python. 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. 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. 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. 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. Design| develop| and maintain data pipelines/models/datasets to support CCaaS data platforms while ensuring data quality| reliability| security| and compliance. Experience building and integrating AI/ML solutions such as Xgboost| SARIMA| Prophet| prompt engineering and TensorFlow into production systems. Understanding model lifecycle including evaluations| hyperparameters| tuning| and ongoing monitoring| model governance| bias mitigation| and explainability. Experience with Agile development| CI/CD| DevOps and Observability. Hands on experience with Kafka| Relational| and/or NoSQL databases. Experience in Data Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures. Understanding of data structures| algorithms| and design patterns Looks proactively beyond the obvious for continuous improvement opportunities. Leadership and communication: lead teams and collaborate with stakeholders| so strong leadership and communication skills are essential. Excellent communication skills| with the ability to influence at all levels across functions| from both technical and non-technical perspectives alike.Roles & Responsibilities Exceptional communication and stakeholder management skills| with the ability to collaborate with cross-functional teams| including developers| business analysts| and quality assurance professionals| to drive project success.Generic Managerial Skills| If any Contact center migration to CCaaS and build data solution surrounding the migrationLed cross-functional teams to define product vision| roadmap & quarterly plans using Aha & Jira| prioritizing backlogs based on user feedback & business goals. Orchestrated Agile ceremonies as Product Owner Essential Skills: 8 plus years of commercial software development experience using Java and/or Python. 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. 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. 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. Have experience in leading integrations and migra

Skills: Agile Programming Methodologies, Algorithms, Apiary/Beekeeping, Artificial Intelligence (AI), Atlassian JIRA, Automatic Call Distributor (ACD), Backlog Prioritization, Big Data, Business Analysis, CRM Integration, Call Center Operations, Call Centers, Campaigns, Cloud Computing, Cloud Storage, Communication Skills, Computer Telephony Integration (CTI), Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cross-Functional, Cryptography, Customer Experience, Customer Service Tools, Customer/Client Research, Data Management, Data Modeling, Data Quality, Data Structures, Database Extract Transform and Load (ETL), Design Patterns Programming Methodologies, DevOps, GCP (Good Clinical Practices), Git, High Availability, Infrastructure as a Service (IaaS), Java, Jenkins, Leadership, Maven, Natural Language Processing (NLP), NoSQL, Production Systems, Python Programming/Scripting Language, Quality Assurance, Relational Databases (RDBMS), SIP (Session Initiation Protocol), SQL (Structured Query Language), Scala Programming Language, Scrum Product Owner, Skills-Based Routing, Software Development, Team Lead/Manager, Team Player, Telephony API (TAPI), Training Data Sets, Voice Response Systems

About the company

Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

Company Size: 500 to 999 employees

Industry: Computer/IT Services

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