DevOps Engineer I
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Key skills for this role
About the Role
Mozn is looking for a motivated DevOps Engineer I to join their engineering team in Riyadh. You will work on cloud infrastructure, automation, and deployment pipelines while learning from experienced engineers.
Key Skills for This Role
Responsibilities
- Design and implement reliable infrastructures to support AI workloads across cloud and on prem environments
- Manage cloud deployments, VM setups, and on premises infrastructure build outs
- Deploy and maintain containerized applications using Docker and Kubernetes
- Automate infrastructure provisioning using tools such as Terraform or Ansible
- Develop and manage observability frameworks for monitoring, logging, and alerting
- Ensure system security, scalability, and compliance with Saudi regulations
- Collaborate with software and data engineering teams to build fault tolerant AI solutions
- Incident response, root cause analysis, and establish SRE standards
Requirements
- Bachelor's degree in Computer Science, IT, or related field (or equivalent practical experience)
- Basic understanding of cloud platforms (AWS, GCP, OCI, or Azure)
- Familiarity with Docker and Kubernetes concepts with some hands on experience
- Exposure to on premises or virtualization technologies (VMware, VirtualBox, Proxmox)
- Basic knowledge of monitoring tools (e.g., Prometheus, Grafana, ELK)
- Foundational scripting skills in Python, Bash, or similar
- Good communication skills and ability to work collaboratively
Full Job Posting
About Mozn
- Mozn is a rapidly growing technology firm revolutionizing AI and Data Science, headquartered in Riyadh, Saudi Arabia, working to realize Vision 2030.
About The Role
- We are looking for a motivated and detail oriented DevOps Engineer to join our growing engineering team, early in their DevOps career.
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
Benefits
- Be at the forefront of an exciting time for the Middle East, joining a high growth rocket ship
- Given a lot of responsibility and trust
- Competitive compensation, top tier health insurance, and an enabling culture
- Fun and dynamic workplace working alongside some of the greatest minds in AI
- Strength lies in difference, embracing all for who they are
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