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Radiant
Radiant
51 – 200 Darbinieki
B2BMākslīgais intelektsUzņēmums
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.
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Vakances uzņēmumā

Principal Backend Software Engineer, AI Infrastructure

Lead backend architecture for Radiant’s GPU orchestration, inference-serving systems, and AI Cloud APIs. Set technical standards and mentor engineers across squads.

GBApvienotā KaralisteHibrīdiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuFull-stack inženierisProgrammatūras inženieris
GogRPCKubernetesMākonisPostgresPythonRaySadalītās sistēmas

Apraksts

  • Build core services for Radiant AI Cloud.
  • Design Go backend services for AI infrastructure, networking, inference orchestration, and model lifecycle management.
  • Lead engineering design, architecture reviews, and plans for evolving systems.
  • Work with platform and infrastructure teams to deliver reliable, secure production services.
  • Set technical standards and improve code quality, observability, and maintainability across teams.
  • Find and address architectural bottlenecks, performance problems, and scaling challenges.
  • Coordinate strategy and technical leadership with principal engineers.
  • Work with infrastructure and machine learning colleagues to deliver high-performance AI systems.
  • Mentor engineers across multiple squads without direct reports.
  • Guide engineering direction, design decisions, and collaboration across teams.

Prasības

  • Demonstrated expertise in Go and cloud-native backend development.
  • Extensive experience designing and deploying production distributed systems and APIs, including gRPC and REST.
  • Strong understanding of Kubernetes internals, including primitives, deployments, and reconciliation loops.
  • Experience with PostgreSQL or a comparable high-performance data store.
  • Experience with CI/CD, observability, security, and automation practices.
  • Ability to provide technical leadership, mentor colleagues, shape architecture, and influence across teams.
  • Experience with AI/ML infrastructure tools such as vLLM, KServe, Ray, or Triton is preferred.
  • Familiarity with Python, particularly ML libraries and model interfaces, is preferred.
  • Familiarity with GPU scheduling, inference pipelines, or orchestration of resource-constrained workloads is preferred.
  • Exposure to GPU orchestration frameworks or services for model training or inference.
  • Understanding of multi-tenant systems, isolation approaches, and secure infrastructure for AI workloads.
  • Authorized to work in the role’s country without sponsorship.

Priekšrocības

  • 25 days of annual leave.
  • Private medical insurance through Bupa.
  • Cycle to Work Scheme.
  • Gympass membership, with access to gyms and wellbeing apps.
  • Participation in the company share programme.
  • Enhanced parental pay and leave.
  • Dedicated time to learn skills, work on projects, or explore interests.
  • Open communication, regular feedback, and a culture focused on results over hierarchy, process, and ego.

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