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DataOps Intern
Tabby
KSA
Internship
Intern
Onsite
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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 behind them runs at scale, under strict requirements for reliability, cost efficiency and regulatory compliance.
This is not a course and not a shadowing programme. It is an engineering role with real responsibility.
The Data Platform team runs the infrastructure that AI, ML and data workloads at Tabby depend on: compute, orchestration, deployment, observability and cost control across cloud environments. The work sits between classic DevOps and the machine-learning side. The same clusters, pipelines and monitoring that keep a service alive also keep models trained, served and measured.
The internship is designed for strong early-career engineers who are comfortable in Linux and a cloud, and who already use AI tools in their own work rather than reading about them. Interns join the team, work on real production infrastructure under senior review and are expected to meet engineering standards from day one.
Key Responsibilities
This is not a helper or ticket-closing role. Interns work on real production tasks under senior review.
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 services and models
Run and troubleshoot containerised workloads on Kubernetes
Set up and improve monitoring, alerting and logging, and act on what they show
Automate repetitive operational work with Python or Bash instead of repeating it
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