Jobs at Carbon3.ai

Design, deploy, operate, and continuously improve Kubernetes-based AI infrastructure. Responsibilities include managing Linux systems, bare-metal servers, data-centre infrastructure, NVIDIA GPU workloads, infrastructure automation, security access, platform governance, troubleshooting, documentation, customer and vendor collaboration, and on-call operational support.

Support the safe, reliable operation of critical data-centre electrical, mechanical, cooling and life-safety infrastructure. Responsibilities include inspections, maintenance support, plant and alarm monitoring, contractor coordination, compliance with permits and RAMS, incident response, site record keeping, and closed-loop water treatment activities. The engineer will also deputize for the Data Centre Facilities Lead, providing operational oversight and coordinating site activities during absences.

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.

Monitor infrastructure alerts and triage incidents in a 24x7 Operations Centre. Perform first-line and L2 checks using runbooks, basic Linux and network diagnostics, manage ITSM tickets, provide customer updates, escalate to specialist teams, support shift handovers, and improve operational runbooks and documentation.

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.

Serve as the technical bridge between customers and internal teams to design, validate, and onboard AI infrastructure solutions across bare metal, BMaaS, Kubernetes and cloud-native platforms. Lead technical discovery, POCs, benchmarks, architecture reviews, reusable reference architectures, and customer workshops while influencing product roadmap and production readiness.

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.

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.

Frontline control room role monitoring, controlling and optimising landfill gas utilisation assets via SCADA. Respond to alarms and incidents, coordinate field engineers, maintain CMMS records, monitor safety and security systems, and escalate operational issues in a 24/7 shift environment.

The CAD Engineer will create 2D and 3D CAD drawings, collaborate with teams, and conduct site visits to gather measurements and verify conditions.

The Technical Writer will create and maintain technical documentation, translating complex technical concepts into clear content for internal and customer use, while working closely with engineering and product teams.