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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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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Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesKubernetesTerraform
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
