At a Glance
- Tasks: Design and govern AI infrastructure architecture using Kubernetes for scalable solutions.
- Company: Join Era4, a mission-driven start-up transforming energy sites into modern data centres.
- Benefits: Enjoy hybrid work, autonomy, and the chance to shape next-gen technology.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Make a real impact on national-scale AI workloads while working with cutting-edge tech.
- Qualifications: Expertise in Kubernetes, cloud architecture, and strong design skills required.
The predicted salary is between 70000 - 90000 € per year.
Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data-centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public-sector organisations.
We are seeking a Systems Architect to define, design, and govern the architecture of our Kubernetes-based AI infrastructure. This role is responsible for translating business, customer, and regulatory requirements into scalable platform designs and technical specifications that guide platform engineering and operations teams. Work closely with Product Managers, Platform Engineers, ML engineers, and leadership to ensure the platform is secure, performant, resilient, and future-proof, enabling AI workloads at national-scale.
This is an opportunity to define the end-to-end architecture of our AI platform, defining how Kubernetes, GPU infrastructure, networking, storage, and automation components integrate into a cohesive system. This is a design authority role, responsible for:
- Technical standards
- Long-term scalability and evolution
Provide clear specifications and boundaries that enable Platform Engineers to build and operate the platform effectively.
Key Responsibilities
- Produce high-level and low-level designs (HLDs/LLDs) for platform components.
- Establish reference architectures for multi-tenant AI workloads.
- Specify system and integrations across Kubernetes, IAM, PaaS, Observability and automation, ITSM, Security, Billing – the complete cloud service provider stack.
- Define solutions for multi-tenant SaaS offerings for GPU cloud related offerings.
Scalability, Reliability & Performance
- Provide inputs for SLOs/SLAs across: Infrastructure, SaaS services, Storage services.
- Architect: Capacity planning (compute + storage), Performance optimisation across workloads.
- Proven results designing scaled end to end systems (not just components, or end services).
- An expert of infrastructure, cloud, or platform related Architecture/Engineering.
- Exceptional experience designing Kubernetes and cloud native solutions at scale.
- Commercial aptitude to enable performance, cost, time trade-offs and evolutions.
- Proven experience defining target architectures and technology roadmaps.
- Strong understanding of Infrastructure-as-code, automation, GitOps.
- Experience of Open Source scale-out storage/object stores (Ceph).
One or more would be an advantage:
- Contribution to open-source projects in the IaaS/PaaS space.
- Experience of building and consuming significant cloud services.
- Commercial success of turning technology into a commercially successful product offering.
- AI/ML System design and consumption practises.
Why Join Era4
You’ll be joining a mission-driven start-up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next-generation company operates at scale.
Diversity & Inclusion
Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Technology
United Kingdom, Hybrid - (Occasional travel to London office)
Systems Architect in London employer: Carbon3ai Limited.
Era4 is an exceptional employer, offering a unique opportunity to work at the forefront of AI infrastructure development in the UK. With a strong commitment to renewable energy and brownfield regeneration, employees can take pride in contributing to sustainable practices while enjoying a collaborative and inclusive work culture that fosters innovation and personal growth. The role of Systems Architect not only provides high visibility with leadership but also allows for real autonomy in shaping the future of technology at a national scale.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Architect in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Era4. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects, especially those involving Kubernetes and AI infrastructure. Let them see how you can add value to their team.
✨Tailor Your Approach
Every company is different, so make sure you understand Era4's mission and values. When you reach out, mention how your experience aligns with their goals in renewable energy and AI infrastructure. It shows you're genuinely interested!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and really want to be part of the Era4 team.
We think you need these skills to ace Systems Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Systems Architect role. Highlight your experience with Kubernetes, cloud solutions, and any relevant projects that showcase your skills in designing scalable systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI infrastructure and how your background aligns with our mission at Era4. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! We want to see your expertise in areas like Infrastructure-as-code, automation, and any experience with open-source projects. This is your chance to shine!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Carbon3ai Limited.
✨Know Your Kubernetes Inside Out
As a Systems Architect, you'll be expected to have a deep understanding of Kubernetes. Brush up on your knowledge of how it integrates with AI workloads and be ready to discuss your past experiences with designing scalable solutions using Kubernetes.
✨Showcase Your Design Skills
Prepare to present examples of high-level and low-level designs you've created in the past. Be specific about how these designs addressed scalability, reliability, and performance, as this will demonstrate your capability to produce effective architecture.
✨Understand the Business Context
Familiarise yourself with Era4's mission and how their AI infrastructure supports various sectors. Be prepared to discuss how you can translate business and regulatory requirements into technical specifications that align with their goals.
✨Be Ready for Technical Questions
Expect in-depth technical questions regarding cloud services, automation, and infrastructure-as-code. Prepare to explain your thought process behind capacity planning and performance optimisation, as well as any experience with open-source projects in the IaaS/PaaS space.
