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Orcrist Technologies

AI-powered real-time situational awareness

Infrastructure/Systems Engineer

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeRemote in GermanyRemote

About the Job

Requirements

  • At least 5 years of bare-metal, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure at scale.
  • Strong bare-metal Linux experience, including provisioning, firmware and BMC management, PXE/iPXE, kernel and storage tuning, systemd, and RAID; Ubuntu, RKE2, Talos, or similar systems are relevant.
  • Hands-on infrastructure automation experience with Ansible, Terraform, or equivalent; Git and CI/CD experience; and scripting with Python, Bash, or Go.
  • Solid, current data-center networking fundamentals, including L2/L3, IP Fabric, BGP, and switching.
  • Comfort operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments.
  • Practical hardware sizing knowledge covering power budgets, thermal/cooling, UPS sizing, and rack integration.
  • Must be eligible to work in Germany.
  • Documentation-focused, methodical, and calm during hardware incidents.

Responsibilities

  • Design, size, provision, and operate bare-metal server fleets across on-prem and air-gapped environments, covering firmware/BIOS/UEFI, BMC via Redfish/IPMI, operating systems, RAID, kernel and storage tuning, using zero-touch provisioning such as PXE/iPXE, MAAS, Metal3, Tinkerbell, or Ironic, and automation such as Ansible or Terraform.
  • Build and operate modern data-center networking, including L2/L3 design, IP Fabric, BGP and switching, and RDMA fabrics (RoCE/InfiniBand) that can scale without replacing the core.
  • Engineer resilient, highly available storage using Ceph/Rook and NVMe, including capacity planning and encryption at rest.
  • Operate in air-gapped and on-prem environments, managing offline mirrors and registries, signed artifacts, firmware/driver lifecycle without internet access, and system hardening.
  • Support MLOps and inference-serving fundamentals in partnership with SRE and ML teams, including GPU model serving, GPU scheduling and sharing, and throughput/latency optimization.
  • Plan and run on-site build-outs, including rack integration, power budgets, thermal/cooling and UPS sizing, commissioning, capacity planning, runbooks, and operator handover, with SWaP awareness for field sites.
  • Partner with SRE, MLOps, and ML teams to ensure the platform and GPU inference perform reliably at scale.
  • Size, rack, and commission self-contained server environments at customer sites without an internet uplink.

Desired Qualifications

  • Experience with RDMA (RoCE/InfiniBand).
  • German language proficiency at B1 or higher.
  • Exposure to regulated or security-critical environments, such as BSI C5, ISO 27001, or defense-sector delivery.
  • Knowledge of the NVIDIA GPU stack, including drivers, CUDA, GPU Operator, MIG, and DCGM, and cross-node GPU interconnects such as NVLink, InfiniBand, and NCCL.
  • Kubernetes bare-metal fundamentals, including how cluster bring-up and GPU device plugins interact with underlying hardware.
  • Inference optimization experience with vLLM, TensorRT-LLM, or quantization, and familiarity with switch NOS such as SONiC or Cumulus.
  • Relevant certifications such as NVIDIA, Red Hat, CKA, or CKS, or field/forward-deployed engineering experience.

About the Company

Orcrist Technologies

AI-powered real-time situational awareness

Orcrist Technologies GmbH builds AI-powered software for real-time situational awareness and sensor fusion, turning diverse, often unstructured data into a clear operational picture. The products fuse data from many sensors and sources and provide fast, actionable insights through interoperable, modular software that can connect with existing systems; they also offer end-to-end services including secure data infrastructure, data extraction automation, and MLOps for enterprise clients. The company differentiates itself with a focus on information-dominance in high-threat environments, serving both private and public sectors (including NATO) and integrating tailored services with its B2B SaaS offerings. Its goal is to help customers achieve faster, better decisions by improving data fusion, analytics, and decision support in challenging operational contexts.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Berlin, Germany
Founded
2023

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