Job Description
Who you are
You like owning problems end-to-end. You’re comfortable in an environment where the infrastructure is real hardware, not just cloud abstractions, and you’d rather instrument a system properly than firefight repeatedly. You communicate clearly with engineers, ask good questions, and push back when something doesn’t make sense.
Key Responsibilities
- Managing and improving bare-metal and VM infrastructure across multiple physical sites
- Building and maintaining CI/CD pipelines in GitLab CI to keep releases smooth and frequent
- Supporting and evolving the infrastructure behind our AI/ML workloads (model deployment, data pipelines)
- Monitoring system health with Grafana and acting on what you find ā not just dashboards, but root causes
- Automating operational toil with Python and shell scripting
- Working directly with backend and ML engineers on deployment, environments, and reliability
What we’re looking for
Must-have
- 3+ years in a DevOps, SRE, or infrastructure engineering role
- Strong Linux fundamentals and shell scripting
- Hands-on experience with Docker and containerised workloads
- Experience building and owning CI/CD pipelines ā ideally with GitLab CI
- Comfort with infrastructure-as-code (Terraform, Ansible, or similar)
- Basic Python scripting for automation
- Familiarity with Grafana or comparable monitoring tooling
Good to have
- Experience managing physical or on-premise infrastructure (not just cloud)
- Exposure to AI/ML deployment pipelines or data-heavy workloads
- Network and security knowledge in multi-site environments
- Experience working with Jira in an engineering team
Are you interested in this position?
Apply by clicking on the āApply Nowā button below!
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