Job Title: Datacentre IT Engineer / GPU Specialist – GPUaaS Platform
Duration: Ongoing
Workload: Full time hours
Setup: Freelance (Daily rate / Limited Company / Umbrella / Sole Trader)
Location: Stockolm, Sweden
The client is seeking an experienced engineer to design, build, configure, and optimise GPU?accelerated infrastructure that underpins their GPUaaS platform across dev, test, and production environments.
Key Responsibilities:
- Design, implement, and maintain scalable GPU?optimised server clusters.
- Configure GPU server instances and tune GPU/CPU/memory resources for maximum performance.
- Utilise cloud platforms and IaC tooling (Kubernetes, Terraform, AWS/Azure) to deploy GPU?accelerated workloads.
- Implement robust security configurations, access controls, and encryption for GPU and cloud environments.
- Develop and maintain backup and recovery strategies for GPUaaS.
- Monitor system performance, identify bottlenecks, and drive continuous optimisation.
- Collaborate with architects, service management, support teams, and customers on GPU?related features and best?practice performance guidance.
- Conduct testing, validation, and release support for GPU?driven services.
Must?Have Skills:
- 3–5 years in IT engineering or IT operations within cloud?focused environments.
- Hands?on experience with GPU infrastructure, GPU?optimisation, or AI/ML accelerator technologies.
- Strong experience with Kubernetes and IaC tools (Terraform or cloud equivalents).
- Deep understanding of cloud platforms supporting GPU workloads.
- Relevant certifications (e.g., NVIDIA CUDA, AI Enterprise, NEMO, Triton) are highly desirable.
Nice?to?Have:
- Experience with ML frameworks (TensorFlow, PyTorch).
- Knowledge of GPU hardware tuning and performance optimisation.
- Exposure to GPU serverless architectures.
- Certifications from Intel, AMD, Google, or Cerebras.
- CompTIA Linux+ or cloud security certifications.