Senior DevOps Engineer (MLOps Focus)
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About the Role
Design and maintain secure cloud infrastructure, optimize CI/CD pipelines, and manage machine learning deployments while ensuring system reliability and IT support.
Key Skills for This Role
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Overview
- This role sits at the intersection of DevOps, AI infrastructure, and cloud security, where you ll take ownership of systems powering advanced machine learning workloads.
- As part of a fast-moving engineering team, you ll also play a key role in supporting internal IT operations, ensuring reliability across both platform and people.
- Design and maintain secure, scalable cloud infrastructure across Azure and GCP
- Build and optimise CI/CD pipelines and deployment workflows
- Implement and manage Infrastructure as Code (IaC) (Terraform or similar)
- Deploy and operate machine learning pipelines in production environments
- Manage and scale multi-cluster GPU environments for AI workloads
- Set up monitoring, logging, and alerting systems to ensure reliability
- Apply cloud security best practices across infrastructure and access layers
- Troubleshoot and resolve system, deployment, and performance issues
- Provide hands-on IT support (user access, devices, internal systems) to ensure smooth day-to-day operations
- Collaborate with engineering teams to improve scalability, performance, and automationbr>
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