About You

Required Experience

• 10+ years of network engineering experience, with significant depth in HPC, AI, hyperscale, or large-scale data centre environments.
• Extensive hands-on experience with RDMA-aware networking for AI/HPC workloads, including InfiniBand and/or RoCE.
• Experience with subnet managers and fabric orchestration technologies such as OpenSM or NVIDIA UFM.
• Expert-level understanding of modern data centre routing and control planes, including BGP, EVPN-VXLAN, and Clos/spine-leaf architectures.
• Production experience with network platforms such as Cumulus, Nokia, or Arista EOS.
• Strong network automation expertise using Python and Ansible.
• Experience with Git-based workflows and modern Infrastructure-as-Code and CI/CD tooling such as Terraform, GitLab CI, or GitHub Actions.
• Deep experience designing and engineering firewall infrastructure using platforms such as Juniper SRX and/or Palo Alto.
• Experience designing telemetry and observability solutions for high-throughput, performance-sensitive environments.
• Proven ability to lead complex technical decisions and incidents across multiple engineering disciplines.
• 
  

Architecture & Technical Leadership

• Demonstrated experience defining network architecture, engineering standards, and technical strategy beyond a single project or data centre.
• Ability to balance performance, reliability, operability, scalability, and delivery velocity when making technical decisions.
• Experience influencing engineering teams and technical direction without formal authority.
• Strong communication skills with the ability to explain complex technical trade-offs to engineers, operators, and senior stakeholders.
• Proven ability to mentor and develop other engineers through design reviews, technical guidance, incident leadership, and knowledge sharing.
• 
  

Personal Attributes

• Deeply technical and comfortable remaining hands-on at Principal level.
• Highly analytical with a structured approach to solving complex infrastructure problems.
• Strong sense of ownership and accountability.
• Comfortable operating in a fast-paced environment where priorities and requirements evolve quickly.
• Pragmatic and able to balance architectural excellence with business and delivery requirements.
• Passionate about building next-generation infrastructure for AI and ML at scale.
•