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.