Senior AI Systems Administrator

MCI

Gauteng

On-site

ZAR 700,000 - 900,000

Full time

14 days+

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Job summary

MCI is looking for a Senior AI Systems Administrator to ensure the efficiency and security of AI infrastructures. The successful candidate will oversee the infrastructure supporting AI and machine learning platforms, managing resources and ensuring operational excellence.

With a Bachelor's degree in a related field and at least 5 years of experience, candidates should demonstrate strong skills in cloud platforms, server administration, and troubleshooting. The role includes mentoring junior administrators and participating in continuous improvement initiatives.

Qualifications

  • Minimum 5 years of infrastructure or systems administration experience.
  • Experience supporting AI, machine learning, or high-performance computing environments.
  • Strong communication and stakeholder management abilities.

Responsibilities

  • Oversee AI and machine learning infrastructure.
  • Monitor system health and performance.
  • Conduct root cause analysis and remediation activities.
  • Support AI platform growth and scalability.

Skills

Cloud platforms and virtualization
Linux server administration
Windows server administration
Troubleshooting skills
Performance optimization
Networking
Security technologies
Automation solutions
Containerization technologies
Communication skills

Education

Bachelor's Degree in Information Technology, Computer Science, Systems Engineering or related field

Tools

Kubernetes
Docker
Terraform

Job description

MCI is a leading tech‑enabled business services company offering customer experience solutions across multiple industries.

Senior AI Systems Administrator

Oversee, optimize, and maintain the infrastructure supporting AI and machine learning platforms. Responsible for ensuring high availability, security, scalability, and operational excellence across AI environments while supporting model deployment, training workloads, and enterprise AI initiatives.

System Management
  • Oversee AI and machine learning infrastructure.
  • Manage servers, cloud environments, and compute resources.
  • Ensure system performance, reliability, and uptime.
  • Support GPU and CPU resource allocation.
Infrastructure Optimization
  • Design scalable environments for AI workloads.
  • Optimize infrastructure performance and efficiency.
  • Implement automation and operational improvements.
  • Support infrastructure modernization initiatives.
Security & Compliance
  • Maintain security controls and access management.
  • Implement infrastructure governance standards.
  • Ensure compliance with organizational requirements.
  • Support risk management initiatives.
Monitoring & Incident Management
  • Monitor system health and performance.
  • Troubleshoot infrastructure and application issues.
  • Conduct root cause analysis and remediation activities.
  • Maintain operational reporting and documentation.
Leadership & Continuous Improvement
  • Mentor junior administrators and support teams.
  • Evaluate emerging technologies and best practices.
  • Recommend improvements to infrastructure architecture.
  • Support AI platform growth and scalability.
Required Qualifications
  • Bachelor's Degree in Information Technology, Computer Science, Systems Engineering, or a related field.
  • Minimum 5 years of infrastructure or systems administration experience.
  • Experience supporting AI, machine learning, or high‑performance computing environments.
  • Strong knowledge of cloud platforms and virtualization technologies.
  • Experience with Linux and Windows server administration.
  • Knowledge of networking, security, and storage technologies.
  • Experience supporting enterprise‑scale systems.
  • Strong troubleshooting and performance optimization skills.
  • Experience implementing automation solutions.
  • Knowledge of containerization technologies.
  • Strong communication and stakeholder management abilities.
  • Experience working within complex technology environments.
Nice to Have
  • Experience with Kubernetes and Docker.
  • Experience supporting GPU clusters.
  • Cloud certifications in AWS, Azure, or GCP.
  • Knowledge of MLOps and AI deployment practices.
  • Experience with Terraform or Infrastructure as Code.
  • Knowledge of AI governance frameworks.
  • Security certifications.
  • Experience leading infrastructure teams.
Work Environment

This role operates in a professional office environment. Duties involve a large amount of computer and telephone headset use. The employee will be required to sit/stand for long periods, move within the office, reach in any direction, and move objects up to forty (40) pounds.

All MCI Locations

Must be authorized to work in the country where the job is based.

Background & Security Requirements
  • Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results.
  • Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada)

Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources.

At MCI and its subsidiaries, we embrace differences and believe diversity is a benefit to our employees, our company, our customers, and our community. All aspects of employment at MCI are based solely on a person's merit and qualifications. MCI maintains a work environment free from discrimination, one where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling MCI's commitment to a diverse and equal opportunity work environment.

MCI does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. MCI will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.

MCI will not tolerate discrimination or harassment based on any of these characteristics. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of MCI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where an employee works.

The purpose of the above job description is to provide potential candidates with a general overview of the role. It's not an all‑inclusive list of the duties, responsibilities, skills, and qualifications required for the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based on your performance of the tasks listed in this job description.

The employer has the right to revise this job description at any time. This job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

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