DevOps Engineer

Carbon3.ai; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Era4 is seeking a DevOps Engineer to design, operate and improve our Kubernetes-based AI infrastructure in London. This hands-on role focuses on cloud-native platform engineering, GPU workloads, bare-metal servers and automation to deliver a secure, scalable AI platform for ML engineers and data scientists.

You will build and operate our AI infrastructure, supporting Linux systems, Kubernetes platforms and automation initiatives.

Qualifications

• Experience with Linux servers and infrastructure environments.
• Exposure to bare-metal hardware, data centres or enterprise platforms.
• Knowledge of Kubernetes and containerised environments.
• Understanding of NVIDIA GPUs, AI infrastructure or HPC environments.
• Familiarity with Infrastructure-as-Code, automation and scripting tools.
• Experience with Ansible, Git, YAML, Python or CI/CD pipelines.
• Strong troubleshooting skills and willingness to learn new technologies.
• Ability to work across infrastructure, platform and operational environments.

Responsibilities

• Deploy and maintain bare-metal servers, Linux systems and data-centre infrastructure.
• Configure, support and troubleshoot Kubernetes clusters and workloads.
• Manage NVIDIA GPU infrastructure, monitoring performance and resource utilisation.
• Automate infrastructure and operational processes using IaC and DevOps tools.
• Support security, access management and platform governance.
• Collaborate with engineering teams, vendors and customers to resolve technical issues.
• Produce technical documentation and support infrastructure deployments.
• Participate in operational support and on-call activities.

Skills

Linux

Bare-metal

Kubernetes

NVIDIA GPUs

IaC

Automation

CI/CD

Python

Git

YAML

Troubleshooting

Scripting

Tools

Ansible

Git

YAML

CI/CD pipelines

Python

Job description

Role Summary:
We are looking for a DevOps Engineer to design, operate and continuously improve our Kubernetes-based AI infrastructure. This hands-on role will focus on cloud-native platform engineering, GPU-accelerated workloads, bare-metal servers, automation and systems reliability, helping to deliver a secure, scalable and high-performing AI platform for ML engineers, data scientists and enterprise customers.

You will help build and operate our AI infrastructure, supporting Linux systems, Kubernetes platforms and automation initiatives. Working alongside experienced engineers and technology partners, you’ll contribute to the delivery of secure, reliable and scalable services.

Responsibilities:

• Deploy and maintain bare-metal servers, Linux systems and data-centre infrastructure.
• Configure, support and troubleshoot Kubernetes clusters and workloads.
• Manage NVIDIA GPU infrastructure, monitoring performance and resource utilisation.
• Automate infrastructure and operational processes using IaC and DevOps tools.
• Support security, access management and platform governance.
• Collaborate with engineering teams, vendors and customers to resolve technical issues.
• Produce technical documentation and support infrastructure deployments.
• Participate in operational support and on-call activities.

Required Skills & Experience:

• Experience working with Linux servers and infrastructure environments.
• Exposure to bare-metal hardware, data centres or enterprise platforms.
• Knowledge of Kubernetes and containerised environments.
• Understanding of NVIDIA GPUs, AI infrastructure or high-performance computing environments.
• Familiarity with Infrastructure-as-Code, automation and scripting tools.
• Experience with technologies such as Ansible, Git, YAML, Python or CI/CD pipelines.
• Strong troubleshooting skills and willingness to learn new technologies.
• Ability to work across infrastructure, platform and operational environments.

Why JoinEra4:

You’llbe 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 companyoperatesat scale.

Diversity & Inclusion:

Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Note:

We appreciate this is arelatively newskill set and we are open to candidates who may not tick all the boxes but are willing to learn and develop their skillset.