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Trainee Google Data Center Engineer Jobs in Florida

Prophecy Technologies

CCaaS Google Data Engineer

Sunrise, FL · On-site

$109K - $131K/yr

This role focuses on designing, implementing, and optimizing CCaaS (Contact Center as a Service ... on Google Cloud Platform (GCP), and developing/maintaining robust data pipelines and models for ...

Accenture

Google Data Specialist

Miami, FL · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Accenture

Google Data Specialist

Tampa, FL · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Leidos

Data Center Infrastructure Engineer

Kissimmee, FL · On-site

$73K - $132K/yr

Description Leidos has a new and exciting opportunity for a Data Center Infrastructure Engineer in our Intel Sector's (NSS) Cyber & Analytics Business Area (CABA) . Our talented team is at the ...

H5 Data Centers

Data Center Mechanical Engineer

Tampa, FL · On-site

$140K - $150K/yr

Bachelor's degree in mechanical engineering or equivalent experience. * Minimum 7 years in data center mechanical design, commissioning, and critical system support. Experience: * Experience in Data ...

Slalom Consulting

General Information

Miami, FL · On-site

$61 - $78.50/hr

Slalom's Google Center of Excellence (COE) is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products. Within Data ...

US Tech Solutions

Data Center Architect

Miramar, FL · On-site

The Data Center Infrastructure Engineer Architect will also play a critical role in efforts related to the growth, design, and engineering of RCL's IT facilities both shoreside and shipboard. This ...

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Trainee Google Data Center Engineer information

What is the difference between Trainee Google Data Center Engineer vs Data Center Technician?

AspectTrainee Google Data Center EngineerData Center Technician
Required CredentialsTypically pursuing or holding a relevant technical degree or certificationHigh school diploma or equivalent; technical certifications preferred
Work EnvironmentGoogle data centers, collaborative and fast-pacedData center facilities, hands-on technical tasks
Employer & Industry UsageGoogle, tech industryVarious data center providers, IT and telecom industries
Common Search & ComparisonYesYes

The Trainee Google Data Center Engineer is an entry-level role focused on learning and supporting data center operations at Google, often requiring ongoing education. In contrast, a Data Center Technician performs hands-on maintenance and troubleshooting in data centers, usually with relevant certifications. Both roles are essential in data center management but differ in responsibilities and experience levels.

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Trainee Google Data Center Engineer jobs near you

CCaaS Google Data Engineer

Prophecy Technologies

Sunrise, FL • On-site

$109K - $131K/yr

Full-time

Posted 19 days ago

Job description

Role Overview:
This role focuses on designing, implementing, and optimizing CCaaS (Contact Center as a Service) and IVA (Intelligent Virtual Assistant) solutions, leveraging leading Cloud and enterprise conversational AI. The position involves architecting secure and resilient cloud infrastructure, particularly on Google Cloud Platform (GCP), and developing/maintaining robust data pipelines and models for CCaaS data platforms, ensuring data quality, reliability, security, and compliance.
Key Responsibilities:
  • Design and implement scalable CCaaS and IVA solutions, including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, and speech-to-text/text-to-speech.
  • Architect secure, resilient cloud infrastructure on major cloud services providers using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery.
  • Implement 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.
  • Lead 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.
  • Understand model lifecycle including evaluations, hyperparameters, tuning, and ongoing monitoring, model governance, bias mitigation, and explainability.
  • Look proactively beyond the obvious for continuous improvement opportunities.
  • Lead teams and collaborate with stakeholders, demonstrating strong leadership and communication skills.
  • Manage stakeholder expectations and collaborate with cross-functional teams, including developers, business analysts, and quality assurance professionals.
  • Contribute to contact center migration to CCaaS and build data solutions surrounding the migration.
  • Define product vision, roadmap, and quarterly plans using Aha & Jira, prioritizing backlogs based on user feedback & business goals.
  • Orchestrate Agile ceremonies as a Product Owner.

Required Skills:
  • 8+ years of commercial software development experience using Java and/or Python.
  • Proficiency in Cloud technologies, GKE, Cloud Run, Cloud Functions, Pub-Sub, Apigee, Big Query, Terraform.
  • Experience with RDBMS, No SQL databases, Maven, GIT, Jenkins, CI/CD.
  • Expertise in Big data, Scala, Spark, Hive SQL, GCP, Google cloud storage, and Big Query.
  • Strong skills in ETL and Data Modeling.
  • Knowledge of Python, AI/ML, Tensorflow, LLM, GenAI.
  • 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.
  • Strong skills in Data Architecture design and modeling.
  • Exceptional communication and stakeholder management skills.

Qualifications:
  • 8+ years of commercial software development experience.

Preferred Skills:
  • Experience with Xgboost, SARIMA, Prophet, prompt engineering, and TensorFlow.
  • Understanding of model lifecycle, governance, bias mitigation, and explainability.
  • Ability to influence at all levels across functions, from both technical and non-technical perspectives.

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