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Entry Level Google Data Center Engineer Jobs in Muskogee, OK

Nextiny

Entry Level Digital Marketer

Broken Arrow, OK · On-site

Learn and work with marketing platforms such as HubSpot, Google Analytics, and social media tools ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Weitz

Human Resources (HR) Specialist

Oktaha, OK · On-site

This role will ensure business unit programming is implemented on the assigned project site and ... This role will be located on the data center construction project site in Council Hill, OK. Remote ...

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Showing results 21-40

All JobsGoogle Data Center Engineer JobsEntry Level Google Data Center Engineer JobsEntry Level Google Data Center Engineer Jobs in Muskogee, OK

Entry Level Google Data Center Engineer information

See Muskogee, OK salary details

$49.5K

$141.8K

$189.5K

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

As of Aug 8, 2026, the average yearly pay for entry level google data center engineer in Muskogee, OK is $141,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $188,500.00 per year, depending on experience, location, and employer.

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

AspectEntry Level Google Data Center EngineerEntry Level Data Center Technician
Required CredentialsTypically a bachelor's degree in computer science, engineering, or related field; certifications like CompTIA A+ or Network+ are commonHigh school diploma or equivalent; certifications like CompTIA A+ are often preferred
Work EnvironmentDesign, maintain, and optimize data center infrastructure; involves troubleshooting hardware and network issuesInstall, maintain, and repair hardware and cabling; perform routine equipment checks
Employer & Industry UsageGoogle and large tech companies; focus on cloud infrastructure and data center operationsData centers across various industries; focus on hardware support and maintenance

While both roles support data center operations, the Entry Level Google Data Center Engineer typically involves more technical design and troubleshooting, requiring a degree and specialized certifications. The Entry Level Data Center Technician focuses on hardware installation and maintenance, often with less formal education but essential for day-to-day data center functionality.

What does an entry level Google data center engineer do?

An Entry Level Google Data Center Engineer is responsible for supporting the operation, maintenance, and troubleshooting of Google's data center infrastructure. Their tasks typically include monitoring systems, assisting with hardware installations and repairs, performing routine inspections, and responding to technical issues under the guidance of senior engineers. This role is crucial in ensuring that Google’s massive network of servers and associated hardware run smoothly and efficiently, providing reliable service for users worldwide. Entry level engineers also follow strict protocols to maintain security and data integrity within the facility.

What are the common challenges faced by entry level Google data center engineers during their first year on the job?

As an Entry Level Google Data Center Engineer, you may encounter challenges such as adapting to the fast-paced and highly secure environment, learning to troubleshoot hardware and networking issues efficiently, and mastering Google’s unique infrastructure tools and protocols. Collaborating with experienced engineers and other cross-functional teams is essential, and you’ll need to quickly become comfortable following strict operational processes. Over time, these challenges become valuable learning opportunities that help you build strong foundational skills and prepare for more advanced responsibilities.

What are the key skills and qualifications needed to thrive as an entry level Google data center engineer?

To thrive as an Entry Level Google Data Center Engineer, you need a solid understanding of computer hardware, networking fundamentals, and basic troubleshooting skills, typically supported by a degree in IT, computer science, or a related field. Familiarity with data center infrastructure management tools, Linux/Unix systems, and certifications like CompTIA A+ or Network+ are often valuable. Strong analytical thinking, attention to detail, and effective teamwork help you excel in maintaining uptime and working safely in high-stakes environments. These skills ensure the reliability, efficiency, and security of critical data center operations.
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Entry Level Google Data Center Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Broken Arrow, OK • On-site

Other

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply