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Google Data Center Jobs in Colorado (NOW HIRING)

Deloitte

Cyber - Google Cloud Security - Manager

Denver, CO · On-site

$114K - $154K/yr

... Data Loss Prevention, Key Management Service, and Security Command Center * Establishing ... Google Cloud Security or Google Cloud Professional certifications The wage range for this role ...

CompassData, Inc

Geomatics Data Processor

Englewood, CO

$60K - $90K/yr

... Center, Colorado. We are looking for a Geomatics Survey Technician to join our team. We offer a fun ... Google Earth, ArcMap, Global Mapper and other GIS software. · Provide quality review of existing ...

Apex Systems

Network Architect

Greenwood Village, CO · On-site

$70 - $85/hr

Strong hybrid and public cloud networking expertise, specifically with AWS VPC networking and Google Cloud Platform networking. * Experience with data center design patterns such as spine/leaf.

New

Google

Global EHS Design and Readiness Manager

Boulder, CO · On-site

$87K - $118K/yr

Strong investigative, data quality troubleshooting, and problem-solving skills, and ability to ... About the Job Google's corporate office footprint spans the globe, requiring visionary leaders who ...

New

Intersect

Capital Markets Lead

Denver, CO · On-site

$314 - $419/hr

Intersect was acquired by Google in March 2026 and operates as an independent subsidiary. We are developing and constructing multiple gigawatts of energy and data center projects in the U.S ...

Crusoe

Assembly Technician

Brighton, CO · On-site

$18.75 - $23.50/hr

No data center experience required - if you have a strong work ethic, mechanical aptitude, and want ... MS Office or Google Workspace * ISO 9001 * Electro-Mechanical Experience Benefits: * Competitive ...

Crusoe

Assembly Technician

Brighton, CO · On-site

$18 - $22.75/hr

No data center experience required - if you have a strong work ethic, mechanical aptitude, and want ... MS Office or Google Workspace * ISO 9001 * Electro-Mechanical Experience Benefits * Competitive ...

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How much do google data center jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for google data center in Colorado is $39.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.37 and $56.34 per hour, depending on experience, location, and employer.

What is a Google data center?

Google Data Centers are specialized facilities that house the computer systems and related components necessary to support Google’s digital services, such as Search, Gmail, YouTube, and Cloud services. These data centers are equipped with advanced networking, storage, and processing infrastructure to ensure high performance, reliability, and security. They are strategically located around the world to efficiently manage vast amounts of data and provide fast, reliable access to users globally. Google’s data centers are also known for their commitment to energy efficiency and sustainability.

What skills and qualifications are needed to work as a Google data center technician?

To thrive as a Google Data Center Technician, you need a solid understanding of computer hardware, networking, and troubleshooting, typically supported by relevant technical certifications or an associate degree in IT or a related field. Experience with data center infrastructure management (DCIM) tools, server maintenance, and ticketing systems like Jira is highly valued. Strong attention to detail, effective communication, and the ability to work under pressure are essential soft skills. These abilities ensure efficient operations, rapid issue resolution, and the reliable functioning of critical infrastructure powering Google's services.

What challenges do technicians face working in a Google data center, and how are they addressed?

Technicians in Google Data Centers often encounter challenges such as maintaining high uptime standards, troubleshooting complex hardware issues, and adapting to rapidly evolving technology. They must work efficiently under pressure, especially during incidents that require quick resolution to minimize service disruptions. To address these challenges, Google provides robust training programs, clear protocols, and collaborative support from experienced team members. Regular team meetings and access to updated documentation also help technicians stay informed and prepared.

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

AspectGoogle Data CenterData Center Technician
CredentialsRelevant certifications (e.g., Cisco, CompTIA), technical degreesTechnical certifications, on-the-job training
Work EnvironmentLarge-scale, corporate data centers with advanced infrastructurePhysical data centers, hands-on hardware and network work
Employer & IndustryGoogle, tech industryVarious companies, IT and telecommunications sectors
Search & Comparison IntentUnderstanding roles at Google data centersJob responsibilities and skills for data center roles

Google Data Center roles focus on managing Google's extensive infrastructure, requiring advanced technical skills and certifications. Data Center Technicians perform hands-on hardware maintenance and troubleshooting across various companies. While both roles involve working in data centers, Google Data Center positions are more specialized within Google's environment, whereas Data Center Technicians work across multiple organizations with similar technical requirements.

How to get a job in a Google Data Center?

To work in a Google Data Center, candidates typically need relevant technical skills such as networking, hardware maintenance, or systems administration, along with a strong understanding of data center operations. Applying through Google's careers website, meeting the job-specific requirements, and obtaining relevant certifications like CompTIA Server+ or Cisco CCNA can improve chances. Physical ability to perform manual tasks and flexibility for shift work are also important.

What jobs are at a Google Data Center?

Jobs at a Google Data Center include roles such as Data Center Technician, Network Operations Center Engineer, Facilities Technician, and Security Specialist. These positions typically require technical skills, certifications in networking or IT, and the ability to work in a fast-paced, 24/7 environment involving equipment maintenance, troubleshooting, and infrastructure management.

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

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

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

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

What cities in Colorado are hiring for Google Data Center jobs?

Cities in Colorado with the most Google Data Center job openings:

Google Data Center jobs near you
Infographic showing various Google Data Center job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $82,597 per year, or $39.7 per hour.

Lead Data Scientist

Themesoft, Inc.

Denver, CO • On-site

Full-time

Posted 18 days ago

Job description

Overview:
Lead Data Scientist
Location - Denver , CO
Your Role
We are seeking a highly experienced Senior AI Architect / Lead Engineer to lead the design, architecture, and development of next-generation AI-powered Customer Experience (CX) platforms. This role is ideal for a hands-on technology leader who combines deep expertise in Agentic AI, Generative AI, Large Language Models (LLMs), and Google Cloud AI services with a strong background in customer engagement and contact center solutions.
The successful candidate will drive the technical vision and implementation of intelligent, autonomous customer experience platforms leveraging multi-agent systems, Retrieval-Augmented Generation (RAG), workflow automation, and Google Cloud AI technologies. This individual must be equally comfortable defining enterprise architecture, mentoring engineering teams, and writing production-grade code.
Key Responsibilities
• Define and execute the architecture strategy for AI-powered CX and contact center solutions.
• Design, build, and deploy Agentic AI systems using autonomous agents, multi-agent collaboration, and workflow orchestration frameworks.
• Develop intelligent conversational and task-oriented experiences leveraging LLMs and Generative AI technologies.
• Architect scalable and secure AI solutions on Google Cloud Platform (GCP).
• Build and optimize RAG pipelines for enterprise knowledge retrieval and contextual AI interactions.
• Design agent workflows incorporating tool usage, API integrations, function calling, and orchestration capabilities.
• Lead the implementation of cloud-native microservices and event-driven architectures.
• Collaborate with business, CX, product, and engineering stakeholders.
• Establish AI architecture standards, development best practices, governance, and security controls.
• Mentor engineers and architects while providing technical leadership
Skill and Experience
Agentic AI & Generative AI
• Multi-agent systems and autonomous AI agents
• LangChain
• LlamaIndex
• Semantic Kernel
• CrewAI
• AutoGen
• Vertex AI Agent Builder
• Tool-calling agents and workflow automation
• Retrieval-Augmented Generation (RAG)
• Prompt engineering
• AI evaluation and governance
Large Language Models
• Google Gemini models
• PaLM models
• Enterprise LLM integration patterns
Google Cloud AI & Platform Expertise
• Vertex AI (Gemini/PaLM)
• Vertex AI Agent Builder
• Dialogflow CX
• BigQuery
• Pub/Sub
• Cloud Run
• Google Kubernetes Engine (GKE)
• Cloud Functions
Required Qualifications
• 10+ years of software engineering, cloud architecture, or enterprise solution design experience
• 5+ years of AI/ML or Generative AI experience
• Proven experience delivering enterprise-scale AI applications on Google Cloud
• Strong Python development skills
• Leadership and mentoring experience
What We're Looking For
Strong Agentic AI expertise
Deep GenAI, LLM, and RAG experience
Extensive Google Cloud and Vertex AI experience
Customer Experience / Contact Center domain expertise
Hands-on architect who still codes
Strong system design and microservices architecture skills
Proven leadership and mentoring experience
Skills:
Data Scientist

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