Senior Compute Network Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Compute Network Engineer based in Australia.

As a Senior Compute Network Engineer, you will design, build, and evolve the data center network fabrics that power bare-metal, GPU, AI, and high-performance computing infrastructure. You will work across leaf-spine architectures, GPU and storage networks, data center connectivity, and the automation required to operate these environments reliably at scale. This role combines deep networking expertise with hands-on engineering, architecture, testing, and operational support. You will collaborate with engineering teams, technology vendors, and integration partners to deliver fast, resilient, and predictable infrastructure. As the first compute networking specialist based in Australia, you will serve as a key regional technical anchor while collaborating closely with teams across international time zones. Your work will directly contribute to next-generation compute networking architectures and scalable infrastructure.

Accountabilities:

You will take ownership of the design, deployment, operation, and continuous improvement of large-scale compute networking environments, while serving as a senior technical resource for network engineering and operations teams.

• Evaluate, test, and certify new network hardware, systems, and software.
• Design and deploy resilient leaf-spine network fabrics supporting GPU, AI, and high-performance computing infrastructure.
• Design and operate IP fabrics using BGP, EVPN-VXLAN, and ECMP.
• Support GPU frontend, backend, storage, management, and out-of-band network connectivity.
• Configure and operate switches, routers, and data center interconnects.
• Implement congestion management capabilities, including QoS, ECN, and Priority Flow Control where required.
• Integrate GPU data centers with transport, internet transit, cloud, and external connectivity services.
• Run proof-of-concept exercises with integration and technology partners.
• Contribute to the development of next-generation network and systems architectures.
• Develop network architecture standards, low-level designs, implementation plans, and operational documentation.
• Maintain strong technical relationships with network hardware and technology vendors.
• Evolve network automation and monitoring systems covering capacity, latency, congestion, and availability.
• Provide advanced technical support to internal and external customers.
• Collaborate with internal teams to support infrastructure deployments and ongoing operations.
• Prepare technical summaries and recommendations that enable senior leadership to make informed business decisions.
• Act as a final-level escalation point for network operations, operations engineering, and network engineering teams.

Requirements:

The ideal candidate combines extensive networking and telecommunications experience with strong problem-solving abilities, automation skills, and the independence required to operate in a rapidly evolving technical environment.

• Strong professional background in networking and telecommunications.
• Demonstrated passion for technology and using technical solutions to solve complex problems.
• Strong understanding of IP routing, QoS, MTU, network resiliency, and failure scenarios.
• Practical experience with BGP, EVPN-VXLAN, and leaf-spine network architectures.
• Experience designing or operating large-scale data center networks.
• Experience working with large-scale MPLS networks.
• Experience writing scripts to automate network or operational tasks.
• Understanding of high-speed Ethernet, optical transceivers, fiber cabling, and data center cross-connects.
• Strong troubleshooting skills, with the ability to investigate complex faults and identify root causes.
• Ability to take initiative, work independently, and remain effective in a rapidly changing environment.
• Strong work ethic and commitment to continuously developing technical skills.
• Experience working across distributed teams and international time zones.
• Knowledge of programming languages such as Python or Perl is desirable.
• Familiarity with Agile environments is desirable.
• Knowledge of RoCEv2, RDMA, Priority Flow Control, and ECN is a plus.
• Familiarity with Linux networking and infrastructure-as-code practices is a plus.
• Operational experience working with network datasets, particularly SNMP and sFlow outputs, is advantageous.
• Interest in analyzing data and identifying infrastructure trends is a plus.

Benefits:

• Flexible working environment: Flexibility designed to support effective collaboration and productivity.
• Modern workspaces: Creative and contemporary environments designed to support collaboration.
• Expert team: Work alongside experienced networking, technology, and infrastructure professionals.
• Advanced technology: Exposure to cutting-edge software and infrastructure technologies.
• Training and development: Opportunities to continuously build technical and professional expertise.
• Recognition programs: Success celebrated through internal awards and recognition programs.
• Health and wellness: Access to health and wellness initiatives.
• Social activities: A strong social calendar and opportunities to connect with colleagues.
• Meaningful impact: Opportunity to contribute to large-scale, next-generation compute and networking infrastructure.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.