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AI-Focused DevOps Engineer

Job in Cape Town, 7561, South Africa
Listing for: Full Stack
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Job Description & How to Apply Below
Company Description

Full Stack is a bespoke software development company founded in 2014. The company specializes in creating tailored solutions to help businesses optimize their software systems and workflows. With over 50 years of combined experience, the team at Full Stack blends business expertise and technical proficiency. The organization is dedicated to delivering high-quality, innovative technology solutions that meet diverse client needs.

Role Description

This full-time on-site role, based in the City of Cape Town, is for an AI-Focused Dev Ops Engineer. The role involves developing, deploying, and managing infrastructure as code (IaC) for AI and software applications. The Dev Ops Engineer will work closely with engineering teams to implement continuous integration pipelines, maintain system performance and availability, and ensure efficient system administration on Linux-based environments.

The candidate will also play a key role in optimizing deployment processes and enhancing system reliability.

Qualifications
  • Proficiency in Infrastructure as Code (IaC), including tools such as Terraform or Cloud Formation, for scalable and consistent deployments.
  • Experience in Software Development with strong programming skills for scripting and automating workflows.
  • Hands-on experience in Continuous Integration (CI) and deployment workflows to ensure efficient and reliable software delivery.
  • Capability in System Administration, with a focus on managing and troubleshooting Linux environments.
  • Analytical thinking, problem-solving skills, and the ability to work collaboratively with multidisciplinary teams.
  • Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent work experience.
  • Prior experience in AI infrastructure or machine learning workflow design is highly advantageous.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes is preferred.
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