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Qutwo

LLM Inference Platform Architect

Qutwo

. Design and lead a secure, internal LLM serving platform on fully controlled GPU hardware .

Posted 10/30/2026full-timeHelsinki • FinlandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and managing secure, large-scale LLM serving platforms on GPU infrastructure, ensuring data privacy and regulatory compliance. Proficient in Kubernetes, LLM inference engines, and infrastructure as code methodologies.

Highest-signal resume keywords
Kubernetes Infrastructure ManagementLLM Inference Engine ExperienceInfrastructure As Code (Terraform)CI/CD and Observability ToolingRegulatory Compliance (DORA)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Large-Scale Infrastructure DesignGPU Workload ManagementAccess Control ImplementationCapacity PlanningArchitecture Guidelines Writing
Tools & Technologies
VLLMSGLangTensorRT-LLMNVIDIA GPUsAMD InstinctCUDAROCm
Industry Keywords
Data PrivacyEnterprise ArchitectureSecurity DesignBanking ComplianceDORA Compliance

Tech Stack

Tools & technologies
KubernetesTerraform

About the role

Key responsibilities & impact
  • Design and lead a secure, internal LLM serving platform on fully controlled GPU hardware
  • Ensure complete data privacy and independence from external model providers
  • Manage the full serving stack, including GPU clusters, inference engines, access control and capacity planning
  • Deliver a reliable AI service for the entire organization
  • Set platform standards and ensure strict regulatory compliance, such as DORA
  • Partner with security, operations and LLM scientists to deploy optimized models

Requirements

What you’ll need
  • Experience designing and running large-scale infrastructure on Kubernetes, including GPU workloads
  • Hands-on experience with LLM inference engines (vLLM, SGLang, TensorRT-LLM or similar)
  • Infrastructure as code experience (Terraform or similar)
  • Experience with CI/CD and observability tooling
  • Understanding of security, identity and network design in enterprise environments
  • Experience writing architecture guidelines and working with enterprise architecture teams
  • Experience configuring and managing enterprise-grade GPUs (NVIDIA or AMD Instinct) and their respective acceleration stacks (CUDA or ROCm) is a plus but not a requirement
  • Background in banking or other highly regulated industries, with familiarity with DORA or equivalent compliance frameworks, is a plus but not a requirement