Job Description

Requirements

Must have

  • University degree in Computer Science, Engineering, Mathematics, or a related technical field.
  • Significant experience with cloud platforms such as AWS, Azure, or GCP.
  • Practical experience with Kubernetes and AI/ML infrastructure including model deployment.
  • Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as MLOps tools such as MLflow and Kubeflow.
  • Proficiency in programming languages including Python, Go, and Bash.
  • Experience using Infrastructure as Code tools like Terraform, Helm, and Kustomize.
  • Understanding of cloud security frameworks and tools like CSPM, DSPM, and ASPM.
  • Knowledge of containerized environments and OCI image creation.
  • Familiar with DevOps tools such as GitHub, GitLab CI, Jenkins, Prometheus, Grafana, Elasticsearch, and Kibana.
  • Strong grasp of security protocols including Kerberos, TLS, and OAu...

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