Platform Engineer (Machine Learning)

Network1


Job Location:

Cape Town - South Africa

Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

Seeking a strong Platform Engineer to help design and operate cloud platforms machine learning infrastructure evaluation systems and developer environments. The primary focus of this role is building a machine learning competition and evaluation platform where participants submit ML projects that are executed and scored in secure GPU-enabled runtime environments. This role sits at the intersection of cloud infrastructure developer platforms automation ML/GPU compute and distributed systems. You will work on projects such as ML competition and evaluation platforms GPU-based compute environments Dockerized and sandboxed runtime environments secure multi-tenant cloud infrastructure model evaluation and benchmarking systems infrastructure automation and provisioning internal developer tooling and orchestration systems and CI/CD and deployment automation. There may also be opportunities to contribute to internal R&D around AI inference and LLM infrastructure.


Key Responsibilities:
  • Design and maintain cloud infrastructure primarily on AWS.
  • Build reusable platform tooling and automation systems used by other engineers.
  • Provision and manage infrastructure using Terraform/OpenTofu.
  • Configure and maintain Docker-based environments and containerized workloads.
  • Develop Python automation and orchestration scripts.
  • Build and operate GPU-enabled compute environments for machine learning workloads including sandboxed runtime environments for user-submitted code.
  • Build and improve CI/CD workflows for efficient software delivery.
  • Monitor troubleshoot and optimize infrastructure reliability and performance.
  • Improve developer workflows internal tooling and platform usability.
  • Contribute to architecture and operational decisions across projects.
  • Ensure security best practices are followed throughout the platform lifecycle.
  • Stay up-to-date with the latest cloud ML infrastructure and platform engineering trends.
Job Experience and Skills Required:
  • Bachelors degree in Computer Science Engineering Information Systems or a related field (or equivalent practical experience).
  • 5 years of hands-on experience operating production cloud infrastructure (mid to senior level).
  • Strong experience with Linux systems administration.
  • Strong experience with Docker and containerized environments.
  • Strong experience with AWS or similar cloud platforms.
  • Strong experience with Terraform or other infrastructure-as-code tooling.
  • Proficiency in Python scripting and automation.
  • Proficiency with Git and GitHub workflows.

Apply now!

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If you have not had any response in two weeks please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information contact:
Lameez Mohamed
Specialist Recruitment Consultant
Connect with me on LinkedIn!
Experience:

IC

Seeking a strong Platform Engineer to help design and operate cloud platforms machine learning infrastructure evaluation systems and developer environments. The primary focus of this role is building a machine learning competition and evaluation platform where participants submit ML projects that ar...

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