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Google Data Center Engineer Jobs in Florida (NOW HIRING)

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 ...

Leidos

Data Center Infrastructure Engineer

Orlando, 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 ...

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

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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All JobsGoogle Data Center Engineer JobsGoogle Data Center Engineer Jobs in Florida

Google Data Center Engineer information

See Florida salary details

$38.5K

$110.2K

$147.2K

How much do google data center engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for google data center engineer in Florida is $110,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $146,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to be a Google Data Center Engineer?

To thrive as a Google Data Center Engineer, you need a strong background in hardware troubleshooting, network infrastructure, and systems administration, often supported by a degree in computer science, information technology, or a related field. Familiarity with server management tools, Linux/Unix operating systems, data center infrastructure management (DCIM) software, and relevant certifications such as CompTIA Server+ or Cisco CCNA is highly valuable. Strong problem-solving skills, attention to detail, and effective communication are essential for collaborating with teams and quickly resolving technical issues. These abilities ensure the reliability, efficiency, and security of critical Google data center operations.

What does a Google Data Center Engineer do?

A typical day for a Google Data Center Engineer involves monitoring and maintaining servers, networks, and supporting infrastructure to ensure uptime and optimal performance. You'll regularly perform hardware diagnostics, address incidents or outages, and work on routine upgrades or preventative maintenance tasks. Collaboration with other engineers, network specialists, and operations staff is frequent, as teamwork is essential when troubleshooting complex issues or deploying new hardware. While some tasks are planned, the role also requires the flexibility to respond quickly to urgent technical challenges, ensuring Google's services remain robust and available to users worldwide.

Are Google Data Center Engineers in demand?

Google Data Center Engineers are in high demand due to the growth of cloud computing and data infrastructure needs. The role requires skills in networking, hardware maintenance, and troubleshooting, and often offers stable employment with competitive salaries. As data centers expand globally, demand for qualified engineers continues to increase.

What is a Google Data Center Engineer?

A Google Data Center Engineer is responsible for maintaining, troubleshooting, and optimizing the infrastructure that powers Google's data centers. They work with hardware, networking, and cooling systems to ensure high availability and efficiency. This role involves hands-on troubleshooting, server deployment, and collaborating with other teams to improve system reliability. Strong technical skills in networking, hardware maintenance, and Linux are essential for success in this position.

What are the most commonly searched types of Google Data Center Engineer jobs in Florida?

The most popular types of Google Data Center Engineer jobs in Florida are:

What are popular job titles related to Google Data Center Engineer jobs in Florida?

For Google Data Center Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Google Data Center Engineer jobs in Florida look for?

The top searched job categories for Google Data Center Engineer jobs in Florida are:

Google Data Center Engineer jobs near you
Infographic showing various Google Data Center Engineer job openings in Florida as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,196 per year, or $53 per hour.

CCaaS Google Data Engineer

Prophecy Technologies

Sunrise, FL • On-site

$109K - $131K/yr

Full-time

Posted 17 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.

Apply