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DataOps Intern
Tabby ·
InternInternshipOnsite
DataOps Intern Department: Infrastructure Employment Type: Internship Location: KSA Reporting To: Yahya Aloyoni Description Tabby builds financial products used by millions of users across the GCC. The infrastructure beh
Discovered Today
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Tabby · Riyadh
InternInternship
Description Tabby builds financial products used by millions of users across the GCC. The infrastructure behind them runs at scale, under strict requirements for reliability, cost efficiency and regulatory complianc
Skills
LinuxCloud platformsGoogle Cloud Platform (GCP)Kubernetes
Discovered 1 weeks ago
ApplyDataOps Intern
Tabby ·
InternInternshipOnsite
About the company Context Key Responsibilities What you will do Work with the cloud infrastructure (primarily GCP ) and the bare-metal fleet that host our data, ML and AI workloads Build and maintain CI/CD pipelines for
Skills
Required - Solid Linux fundamentals: filesystem, processes, permissions, networking basics, comfortable in the shell - Hands-on experience with at least one cloud provider, evidenced by something you actually built or deployed. We run on GCP, so GCP experience is the most directly useful, but AWS or Azure evidence counts: the concepts transfer, and we would rather have someone who has really built something on one cloud than someone who has clicked around ours - Understanding of networking: DNS, TCP/IP basics, load balancing, what happens between a request and a service - Working knowledge of containers, and enough Kubernetes to deploy and debug a workload - Familiarity with monitoring and observability concepts: metrics, logs, alerts and what makes an alert useful - Python or Bash sufficient to automate operational tasks - Experience with Git and standard development workflows - Real, current use of AI tools in your own engineering work: which tools, for what, and an informed view of which models suit which task. We would rather hear an honest comparison than a list of names - Structured thinking and attention to correctness - Open to constructive feedback - English sufficient for documentation and team communication Strong plus - Infrastructure as code (Terraform or similar) - Experience running a CI/CD system end to end (GitLab CI, GitHub Actions or similar) - An observability stack in practice: Prometheus, Grafana or equivalents - Exposure to MLOps tooling: experiment tracking, model registries, feature stores, inference serving - Has tried to run an open-source model themselves (on a laptop, a rented GPU, anything) and can explain how LLMs actually work rather than just which API they called - Any experience with GPU workloads, or with the cost side of running them - Interest in platform design and developer experience Eligibility - Saudi nationals only - We welcome both current students and fresh graduates - We expect a full-time level of engagement. The programme is not part-time. Students can align time for classes or exams with their mentor in advance, but performance, ownership and involvement are expected at a full-time level
Discovered 1 weeks ago
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