Radiant
Radiant
Radiant ir mākslīgā intelekta infrastruktūras nodrošinātājs, kas apkalpo uzņēmumus un citas organizācijas, kuras izmanto liela mēroga mākslīgā intelekta darba slodzes. Tās FlightDeck platforma nodrošina pārredzamību un darbības pārvaldību, savukārt infrastruktūras portfelī ietilpst bare metal un virtuālo mašīnu skaitļošanas resursi, GPU, pārvaldīts Kubernetes, Slurm, krātuves, tīkli un datu centru jaudas. Radiant izstrādā arī suverēnus un hipermēroga risinājumus komandām, kurām nepieciešamas drošas, pārvaldītas un mērogojamas mākslīgā intelekta vides. Uzņēmums pieņem darbā darbiniekus infrastruktūras, mākslīgā intelekta un uzņēmumu tehnoloģiju jomās.

Principal Infrastructure Engineer, Platform

Shape Radiant’s AI-native cloud platform, architecting infrastructure for global workloads. The role spans Kubernetes, high-performance computing, networking, storage, security, and automation.

Apraksts

  • Design and implement virtualisation solutions for AI-native workloads and HPC, including hypervisor tuning
  • Build resilient infrastructure that scales storage and networking with customer demand
  • Lead bare-metal hardware lifecycle management, provisioning, orchestration, and optimisation
  • Maintain secure, high-performing Unix and Linux environments at scale
  • Design and deliver high-performance cloud-native storage and networking
  • Apply expertise in networking protocols and software-defined networking
  • Deploy and operate Kubernetes clusters across hybrid and multi-cloud environments
  • Design CI/CD pipelines for automated infrastructure delivery and reliable global operations
  • Secure Kubernetes with RBAC, network policies, admission controllers, and related tools
  • Manage cluster secrets and their rotation
  • Strengthen software supply-chain security with image scanning, signed artifacts, and provenance attestations
  • Design IAM and least-privilege controls for infrastructure and cloud control planes
  • Build pipelines for logs, metrics, and tracing
  • Develop automation frameworks with Terraform, Ansible, Go, and Python
  • Assess emerging technologies and prepare high- and low-level architecture proposals
  • Work with engineering and product teams across functions
  • Guide architecture practice and mentor colleagues
  • Partner with engineering leaders and stakeholders on infrastructure initiatives

Prasības

  • Experience designing infrastructure architectures and solutions, including writing detailed technical proposals
  • A record of evaluating and adopting new tools and technologies
  • Extensive experience with large-scale global infrastructure, especially AI-native, HPC, and cloud-native environments
  • Advanced knowledge of Kubernetes fundamentals, container networking (CNI), and service mesh technologies
  • Deep understanding of virtualisation and hypervisors for high-performance workloads
  • Strong knowledge of TCP, UDP, DNS, BGP, and software-defined networking
  • Proficiency with infrastructure-as-code tools such as Terraform and Ansible
  • Practical coding experience in Go, Python, or similar languages for automation
  • Working knowledge of Prometheus, Grafana, and distributed tracing systems
  • Strong communication and collaboration skills
  • Ability to write clear, concise infrastructure documentation
  • Desirable experience with AI/ML workloads, GPU-accelerated systems, HPC infrastructure, GPU partitioning with MIG, NVIDIA GPU Operator, InfiniBand, RoCEv2, GPUDirect, Ceph, parallel filesystems, hybrid cloud, edge computing, or agile architecture leadership

Priekšrocības

  • Work in a rapidly growing AI infrastructure business at the forefront of the industry
  • Gain broad exposure to an advanced physical and software infrastructure stack
  • Access resources, mentorship, and growth opportunities at a Brookfield-backed company
  • Opportunities for career development
  • Employee contributions are valued

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