Role Summary: 

We are looking for Platform Engineer (HPC & AI) who can assist in shaping our new Platform team, this role will be customer facing, involve technical troubleshooting, and collaboration with vendor engineering teams to ensure seamless AI platform operations.

Responsibilities: 

• Designing, deploying, and managing large‑scale HPC and GPU‑accelerated clusters, including NVIDIA based compute environments.

• Implementing and administering HPC scheduling and resource‑management systems (e.g., Slurm), including GPU partitioning, workload scheduling, and capacity planning.

• Architecting and optimising InfiniBand and Ethernet network topologies.

• Ensuring high availability and resilience through failover strategies, planned maintenance coordination, and proactive risk mitigation.

• Automating provisioning, configuration, monitoring, and operational workflows across multi‑vendor HPC hardware and software stacks.

• Monitoring real‑time performance and leading troubleshooting efforts across compute, storage, interconnect, drivers, and node failures, engaging vendor support for critical issues.

• Incident response: node failure management, network issues, driver issues, troubleshooting common issues and then working with vendor support to resolve any critical issues.
• Security and access control: Manage user permissions, RBAC, security hardening, data protection.

Required Skills & Experience: 

• Experience supporting HPE PCAI or other AI/HPC infrastructure and platforms.

• System administration experience with OS’s like RHEL/CentOS, Ubuntu, tuning Linux kernel.

• Proficiency with Ansible, Nvidia and CUDA toolkits, Kubernetes and container orchestration.

• Understanding of automation, monitoring and security with GPU as a service.

• Extensive experience in system engineering, platform operations or SRE.

• Experience with GPU resource allocation (across instances, GPUs count and time).

• Advanced networking skills with High performance networking, troubleshooting and fine tuning.

• Familiarity with cloud-based platforms, APIs, and distributed systems.

• Understanding of AI/ML concepts and tooling (model training, inference, data pipelines basics).

• Experience with monitoring/logging tools (e.g., Grafana, Kibana, Splunk).

• Excellent communication skills to interface with both customers and internal / vendor teams.

• Good understanding of tools requirements for ML engineers and data scientists, and how to optimise the experience.

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.

Note:

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

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 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.

Note:

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

We are seeking a Platform Developer to contribute to the technical architecture, design, and implementation of our cloud infrastructure and applications. In this role you will work to devise and realise technical components, including software, of new production environments and to deliver technical change into existing environments.

The successful candidate will employ their professional experience of automation, schema modelling, and software development with their knowledge of cloud infrastructure in our collaborative culture.

Key Responsibilities:

Technical Components:

• Contribute to the technical architecture and design of significant aspects of our bare metal and Kubernetes-based AI infrastructure, across networking, compute, GPU, storage.
• Production of high-level and low-level design documentation.
• Specification of acceptance and integration tests.
• Work with Project Managers, other developers, and operational teams to successfully deliver technical components into production environments.

Software Development:

• Prototyping, definition, and realisation of scalable and maintainable software solutions for automation and services.
• Active participation in software development processes.

Essential Experience:

• Significant contribution to technical architecture/engineering of infrastructure, cloud, platform.
• Designing Kubernetes and cloud-native solutions for operation at scale.
• Delivery of technical documentation to a high standard.
• Database schema modelling (relational database and/or graph database).
• Strong understanding of automation, Infrastructure-as-code, GitOps (preferably including Ansible).
• Software development for production services (preferably including Python, Go).
• Version control using git.

One or more would be an advantage:

• Experience of building significant cloud services.
• Experience of working with industry partners.
• Contribution to relevant open-source projects.
• Understanding/awareness of AI/ML system design.

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.