IT Data Engineer

Om jobbet

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.