Job Details:

Job Description: 

Are you passionate about where cutting-edge AI meets hands-on hardware expertise? We're looking for an innovative entry-level Data Center Infrastructure DevOps Engineer to join our dynamic team and help revolutionize how we manage compute infrastructure. In this exciting role, you'll be at the forefront of merging traditional data center operations with intelligent automation, working alongside experienced engineers to transform AI-enhanced concepts into real-world infrastructure solutions. If you're ready to dive into a role where your technical skills in Python, hardware, and machine learning can directly impact the reliability, security, and scalability of enterprise-level systems, we'd love to hear from you.

 

This role fuses traditional compute operations with intelligent, cognitive software automation. We are seeking a highly motivated, entry level Data Center Infrastructure DevOps engineer who can help us drive compute infrastructure and server platforms reliability, security, and scalability by championing automation first practices. You'll work side by side with senior engineers, translating AI enhanced concepts into concrete, repeatable infrastructure solutions.

Key Responsibilities

• Perform routine maintenance, diagnose and replace failed server components, upgrade memory/CPU, and run preventive maintenance inspections on compute racks.

• Build lightweight monitoring dashboards and configure alert rules to catch performance anomalies, capacity thresholds, or security events before they impact users.

• Develop python-based automation for smart infrastructure decisions including predictive maintenance using computer vision models and continuous model improvement via feedback loops.

• Apply hardening guidelines (patch management, least privilege access), participate in audits, and maintain architectural diagrams for all automated processes.

• Excellent written and verbal communication.

Qualifications:

Minimum Qualifications

• Bachelor's degree in Computer Science, Cognitive Science, or related specialized field.

• Python programming proficiency (scripts, Jupyter/Colab notebooks).

• Compute server hardware expertise (building, over-clocking, component selection) experience.

• Hands on experience with AI/ML pipelines.

Preferred Qualifications

• Demonstrates analytical thinking and exposure to interdisciplinary problem solving.

• Knowledge of compute server bare metal provisioning, hardware diagnostics, and performance tuning.

• Understanding of Windows, macOS, and Linux operating systems

          

Job Type:

College Grad

Shift:

Shift 1 (United States of America)

Primary Location: 

US, California, Santa Clara

Additional Locations:

Business group:

IT is the trusted technology partner for Intel's business, relentlessly focused on the experience of our people, our end users, and our customers. We design and support Intel's IT infrastructure, driving e-Commerce and web services with a focus on robust security and identity protection.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

 

 

Annual Salary Range for jobs which could be performed in the US: $85,950.00-141,950.00 USD

 

 

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

 

 

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.