Systems Architect

Systems Architect

Full-Time 70000 - 90000 € / year (est.) No home office possible
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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, competitive salary, and the chance to shape national infrastructure.
  • Other info: Diverse and inclusive workplace with opportunities for personal and professional growth.
  • Why this job: Make a real impact on AI workloads while working with cutting-edge technology.
  • 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 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.

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Contact Detail:

Carbon3ai Limited. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Systems Architect

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to Kubernetes and AI infrastructure. This will give potential employers a clear view of what you can bring to the table.

Tailor Your Approach

When reaching out to companies like Era4, make sure to tailor your message. Highlight how your skills align with their mission of building AI infrastructure and renewable energy solutions. Personal touches can make a big difference!

Apply Through Our Website

We encourage you 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 genuinely interested in being part of our mission-driven team!

We think you need these skills to ace Systems Architect

Kubernetes
AI Infrastructure Design
Cloud Architecture
Scalability
Performance Optimisation
Infrastructure-as-Code
Automation

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! Mention your experience with Infrastructure-as-code, automation, and any open-source contributions. This will help us see your fit for the role right away.

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!

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

Era4 is focused on converting legacy sites into modern data centres. Familiarise yourself with their mission and think about how your architectural decisions can align with their goals of sustainability and efficiency. This will show that you’re not just technically savvy but also business-minded.

Prepare for Technical Questions

Expect to dive deep into technical discussions around cloud services, automation, and infrastructure-as-code. Brush up on your knowledge of IAM, PaaS, and observability tools, as well as any relevant open-source projects you've contributed to, as these will likely come up during the interview.