Cloud Engineer for Safe AI Solutions
4 days ago
We are seeking a highly skilled Cloud Engineer to join our team at Safe Intelligence, where you will play a key role in architecting and developing our cloud-based platform. Your mission will be to ensure the reliability and scalability of our system, leveraging your expertise in cloud infrastructure, containerisation, and DevOps practices.
As a Cloud Engineer, you will work closely with our scientific and technical teams to interface and containerise a PyTorch-based verification toolkit, develop new features aligned with model versioning, dataset management, verification workflows, and result/metric aggregations.
About YouWe're looking for someone who is passionate about delivering software that realises safe AI solutions in line with client needs. You should have extensive experience configuring and maintaining cloud infrastructure, including network infrastructure, compute, access control policies, load-balancers, public key infrastructure (PKI), and DNS.
Your background in developing production-grade RESTful APIs with an API-first approach is also crucial, as well as knowledge of Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern.
In addition to your technical skills, you should possess strong communication and collaboration skills, with the ability to communicate clearly and efficiently with a variety of audiences, including developers, clients, researchers, and partners.
The ideal candidate will be deeply technical and constantly in a state of learning, with a strong understanding of modern software engineering processes and a willingness to drive clarity in ambiguous situations.
About the BenefitsWe offer a competitive salary of £80,000 - £100,000 per annum, depending on experience, plus benefits including stock option benefits, mentoring and learning allowance, regular team social events, and flexible holidays. Our company culture combines optimism for the future, speed of iteration, and rigour in what matters, creating a dynamic and fulfilling work environment.
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