Staff Engineer: Cloud Platform

ZipRecruiter; Cambridge; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading AI solutions provider in Cambridge seeks a Platform Engineer to build secure and scalable systems. The role involves architecting a cloud marketplace and collaborating with cross-functional teams to enhance user experience. Ideal candidates should have strong cloud infrastructure expertise, a background in security, and a bachelor's degree in a related field. The company offers flexible hybrid working arrangements and various onsite perks.

Benefits

Well-equipped gym

Flexible hybrid working

Qualifications

• Strong experience with cloud infrastructure.
• Familiarity with modern system monitoring tools and best practices.
• Ability to work independently and in a team.

Responsibilities

• Work with existing open-source products to build the platform.
• Define infrastructure as code for deployment and troubleshooting.
• Follow security best practices in a secure framework.

Skills

cloud infrastructure

security engineering

resilience engineering

Infrastructure-as-Code tools

system monitoring tools

Education

Bachelor's degree in Computer Science or related field

Job description

Overview

CommonAI is redefining the way we develop deeptech AI solutions through common infrastructure and collaborative engineering. CommonAI Compute is part of the CommonAI group, delivering cost effective multi-cloud compute services for AI teams.

The UK government is investing £1Billion into AI matched by £31Billion from US tech giants and more across UK industry. The UK's Industrial Strategy sets out an ambitious AI plan, but delivering this vision requires collaboration and engagement between government and the wider ecosystem. We have formed CommonAI to deliver on that.

We are backed by VC giant Anthemis, our founders have been behind the companies like Arm, Raspberry Pi, and LowRISC that put the first open-source semiconductor chip into a high-volume consumer product. This is an opportunity to join a fast-growing company in AI and cloud computing that is bringing together commercial investment, government and research to ensure that we maximise success of AI across the UK and Europe.

Role

Your role: We are looking for platform engineers who strive to build secure, scalable systems that are a joy to use. In this role you will be responsible for the architecture of our cloud marketplace that lets AI researchers burst their workloads out to any cloud. You’ll work deeply with small and large cloud vendors and contribute to our platform and user experience. You will collaborate with cross-functional teams to design, develop, and implement cloud infrastructure solutions. You will be responsible for ensuring that our platform is scalable, secure and resilient.

Responsibilities

• Work with existing open-source products to build our platform, modifying code where necessary.
• Define infrastructure as code to build, deploy and troubleshoot our multi-cloud platform.
• Work within secure frameworks, following security best practices.

Qualifications

• Strong experience with cloud infrastructure
• Experience building platforms across different cloud platforms
• Strong background in security and resilience engineering
• Familiarity with modern system monitoring tools and best practices
• Strong knowledge of Infrastructure-as-Code tools and frameworks
• Ability to work independently and as part of a team
• Practical, hands on and able to work across layers of the stack when needed
• Able to troubleshoot problems in production and work with key customers
• Bachelor\'s degree in Computer Science, Engineering, or a related field, or equivalent experience

What else should you know

We allow flexible hybrid working, but aim for three days in the office for design and collaboration. Alternative arrangements can be made for exceptional people who live further away, although we will expect them to visit the office for team building and collaboration. Our offices are next to the Cambridge railway station with various onsite perks including a well-equipped gym.

Hiring Process

1. 45 minutes introductory call with Dr Rosemary Francis, our CTO
2. 2 hour technical deep dive

During the hiring process we may ask you technical questions about any technologies or experience that you list on your CV.