SRE & DevOps Engineer — CI/CD, IaC, MLOps

RIME | رايم

Riyadh

Sur place

SAR 180 000 - 240 000

Plein temps

14 jours+

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Résumé du poste

RIME is seeking a System Reliability Engineer (SRE) to ensure stability, speed, and reliability of real-time video streams and sensor data processing systems. You will bridge software engineering and operations (DevOps) to maintain scalable, highly available services across production environments.

You will implement CI/CD, IaC, and secure deployment practices, collaborating with AI teams on ML model lifecycles while embedding security testing from the start.

Qualifications

  • Experience building CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins (required).
  • IaC using Terraform or Ansible with at least one major cloud (AWS/GCP/Azure).
  • Security testing integration (SAST/DAST) and secure secrets management experience.
  • Familiarity with MLOps lifecycles and deploying AI/Computer Vision models.

Responsabilités

  • Design and build robust CI/CD pipelines for backend, frontend, and AI/Computer Vision models.
  • Provision and manage cloud infrastructure using Terraform or Ansible.
  • Improve developer experience by reducing build times and accelerating local development environments.
  • Collaborate with AI teams to automate ML model lifecycle from training to deployment.
  • Integrate automated security checks and secret management into deployment pipelines.

Connaissances

CI/CD & Automation
Security Testing
MLOps concepts
DevOps practices

Outils

GitHub Actions
GitLab CI
Jenkins
Terraform
Ansible
AWS
GCP
Azure
HashiCorp Vault
AWS Secrets Manager

Description du poste

RIME is seeking a System Reliability Engineer (SRE) to ensure stability, speed, and reliability of real-time video streams and sensor data processing systems. You will bridge software engineering and operations (DevOps) to maintain scalable, highly available services across production environments.

You will implement CI/CD, IaC, and secure deployment practices, collaborating with AI teams on ML model lifecycles while embedding security testing from the start.

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