Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Position Overview
We are seeking a Senior Systems Engineer to support enterprise networking solution sales across the ANZ region. This role is a key technical contributor within the sales process, helping design, present, and validate networking architectures that align with customer requirements. The ideal candidate brings strong hands-on experience across wired, wireless, and cloud-managed networks, combined with excellent communication and customer engagement skills.
- Collaborate with sales teams, partners, and internal stakeholders to support regional revenue goals.
- Deliver technical presentations and demonstrations that clearly articulate solution benefits and design principles.
- Lead discovery sessions, solution design, and technical validation for:
- Wireless LAN technologies
- Campus and edge switching
- SD-WAN solutions
- Data center network fabrics
- Cloud-managed networking platforms and related SaaS applications
- Network access control and analytics platforms
- Participate in technical assessments, Demos, proof-of-concept deployments, and architectural workshops.
- Troubleshoot complex customer environments and provide technical input during escalations.
- Utilize protocol knowledge and traffic analysis to resolve issues and optimize network designs.
- Leverage basic scripting (e.g., Python, Shell, or similar) to support automation or testing tasks.
- Act as a liaison between customers and product/engineering teams to communicate feedback and ensure solution alignment.
- 5–10 years’ experience in pre-sales engineering, solution architecture, or technical consulting in the networking industry.
- In-depth knowledge of network protocols and technologies, including:
- MLAG, LACP, IGMP, PIM
- OSPF, IS-IS, BGP, MPLS, VRRP, SPBM, VXLAN
- Authentication mechanisms and access policies (e.g., 802.1X, RADIUS)
- Hands-on experience with network simulation, testing tools, and packet capture analysis.
- Familiarity with major networking platforms and open networking concepts across wired, wireless, SD-WAN, and network management.
- Understanding of cloud-managed networking platforms and integration with security and automation workflows.
- Familiarity with network automation tools (e.g., Ansible, Python scripting) is an advantage for modern infrastructure environments.
- Bachelor’s degree in computer science, Network Engineering, or a related field; or equivalent professional experience in enterprise networking environments.
- Certifications that demonstrate expertise in networking, wireless technologies, access control, cloud, and AI are strongly preferred, including a mix of vendor-neutral and industry-recognized vendor certifications, such as:
- Vendor-Neutral Certifications:
- Cloud & AI Certifications:
- AWS Certified Solutions Architect – Associate or Azure Solutions Architect Expert – for cloud infrastructure design
- Google Cloud Professional Cloud Network Engineer – for cloud networking expertise
- Microsoft Certified: Azure AI Fundamentals or AWS Certified Machine Learning –
- Specialty – for foundational AI/ML knowledge relevant to networking automation and analytics
- Vendor-Specific Certifications (preferred, but not required):
- Extreme Networks – Certified Specialist/Professional (or equivalent) – for cloud-managed networking and access control or or equivalent industry certifications
- Strong written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
- Ability to work independently and manage multiple priorities.
- Customer-oriented mindset with strong problem-solving skills.
- Collaborative approach when working with internal teams and external partners.
- Opportunity to work with a variety of modern networking technologies across diverse customer environments.
- Flexible working model with regional travel as needed.
- Supportive team environment focused on continuous learning and collaboration.
- Exposure to enterprise, education, government, and service provider use cases in the ANZ market.
OTE is on a 70-30 split and is based on qualifications and experience 220-235K AUD OTE.
Extreme Networks Benefits
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
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.
