2 days ago
London, United KingdomSenior
Responsibilities
- Build robust, secure, and scalable cloud infrastructure for AI and ML workflows.
- Partner with technical and non-technical stakeholders from idea generation through implementation and shipping.
- Enable Machine Learning Engineers and Data Scientists through internal standards, best practices, and reusable code repositories.
- Recommend ways customers can use cloud infrastructure to address key challenges.
- Create and maintain reusable company-wide libraries and infrastructure-as-code.
- Research and integrate open-source technologies to improve Faculty’s infrastructure capabilities.
- Handle customer requirements gathering, technical planning, and project scoping.
Requirements
- Deep experience with both Azure and AWS.
- Strong Infrastructure as Code experience, especially Terraform.
- Experience building and deploying containerized solutions with Docker and Kubernetes.
- Strong CI/CD and GitOps practices.
- Proficient knowledge of networking and cloud security.
- Ability to work directly with clients and stakeholders on requirements, planning, and scoping.
- Pragmatic, outcome-focused, scientifically minded, and curious approach to solving complex problems.
Benefits
- Part-time hours are open for discussion.
- Applicants from all backgrounds are strongly encouraged to apply.
- The recruitment process includes a 30-minute talent screen, 90-minute pair programming interview, 90-minute system design interview, and 60-minute commercial interview.
- Candidates may opt out of the Metaview AI note-taker used during interviews.
