Carbon3.ai

HQ
Tonbridge and Malling
16 Total Employees

Jobs at Carbon3.ai

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Recently posted jobs

11 Hours AgoSaved
Remote
United Kingdom
Artificial Intelligence • Information Technology
Design, implement, and improve security controls across Kubernetes, cloud-native, and datacentre infrastructure. Secure networks and firewalls, integrate DevSecOps controls into CI/CD, lead vulnerability management, build detection/response capabilities, automate security workflows, and support incident response and threat hunting for GPU-accelerated and AI/ML platforms.
5 Days AgoSaved
Remote
United Kingdom
Artificial Intelligence • Information Technology
Monitor SIEM and security tooling, ingest and analyse logs from firewalls, networking and GPU infrastructure, triage and investigate alerts, perform threat hunting, coordinate incident response and remediation, track vulnerabilities, maintain runbooks, support compliance and audit activities, and communicate findings to engineering and operations.
7 Days AgoSaved
Remote
United Kingdom
Artificial Intelligence • Information Technology
Design, deploy, and operate large-scale GPU-accelerated HPC and AI clusters. Manage scheduling (Slurm), networking (InfiniBand/Ethernet), provisioning, automation, monitoring, incident response, security/RBAC, and vendor engagement to ensure high availability and performance for AI workloads.
10 Days AgoSaved
Remote
United Kingdom
Artificial Intelligence • Information Technology
Contract Data Centre Network Engineer to design, deploy, and operate high-performance data centre networks (leaf-spine, EVPN/VXLAN), manage routing (BGP/OSPF), automate configurations (Python/Ansible/Terraform), troubleshoot network and Linux systems, support Kubernetes networking, and contribute to monitoring, documentation, and capacity planning for AI/GPU infrastructure.
18 Days AgoSaved
Remote
United Kingdom
Artificial Intelligence • Information Technology
Build AI-driven SRE tooling and agentic automation to triage, diagnose, and remediate infrastructure issues. Integrate LLM-powered agents with observability, ITSM, and infrastructure APIs, develop self-service tooling and ChatOps, tune event/alert intelligence, and convert runbooks into auditable executable automations while contributing to operational standards and incident learning.