Key Technical Requirements

• Advanced experience designing and optimising hybrid and multi-cloud environments (AWS, Azure, GCP, VMware).
• Strong networking knowledge including SD-WAN and zero-trust architectures.
• Virtualisation and containerisation (Kubernetes, Docker).
• Infrastructure-as-Code (Terraform, Ansible, CloudFormation).
• Experience building resilient, high-performance infrastructure environments.

AI & Data Exposure (Advantageous)

• Exposure to machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with data platforms such as Spark, Databricks, or Snowflake.
• Understanding of analytics pipelines and intelligent automation concepts.

Cybersecurity

• Strong capabilities in incident response, threat hunting, and security operations.
• Experience with next-generation SIEM tools (Splunk, Sentinel).
• Exposure to...