We are looking for a motivated and detail-oriented DevOps Engineer to join our growing engineering team. This is an exciting opportunity for someone early in their DevOps career to work on modern cloud infrastructure, automation, and deployment pipelines while learning from experienced engineers.
What you'll do
- Designing and implementing reliable infrastructures to support AI workloads across cloud and on-prem environments
- Managing cloud deployments, VM setups, and on-premises infrastructure build-outs
- Deploying and maintaining containerized applications using Docker and Kubernetes
- Automating infrastructure provisioning using tools such as Terraform or Ansible
- Developing and managing observability frameworks for monitoring, logging, and alerting
- Ensuring system security, scalability, and compliance with Saudi regulations
- Collaborating with software and data engineering teams to build fault-tolerant AI solutions
- Incident response, root cause analysis, and establish SRE standards
Qualifications
- Bachelor s degree in Computer Science, IT, or a related field (or equivalent practical experience).
- Basic understanding of cloud platforms (AWS, GCP, OCI, or Azure) and interest in learning multi-cloud/hybrid environments.
- Familiarity with Docker and Kubernetes concepts, with some hands-on experience through projects, labs, or internships.
- Exposure to on-premises or virtualization technologies (VMware, VirtualBox, Proxmox) and willingness to learn infrastructure setup.
- Basic knowledge of monitoring tools (e.g., Prometheus, Grafana, ELK) and ability to interpret simple dashboards/logs.
- Foundational scripting skills in Python, Bash, or similar, with a focus on automation and continuous improvement.
- Good communication skills and ability to work collaboratively with team members and stakeholders.
