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WM New Zealand

Infrastructure Engineer

WM New Zealand is hiring an Infrastructure Engineer in Auckland, New Zealand. Level rates it ; you can apply on WM New Zealand.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • WM New Zealand has 34 other open roles on Level.

AI in this role

Let’s take care of work that matters - people, place and purpose. From roads to recycling to reporting, everyone at WM New Zealand (WM) helps take care of our people, protect our whenua and support our communities.

We’re more than waste management – we’re problem solvers, innovators, and hands-on doers. Every one of us, whether behind the wheel, on the tools, or shaping strategy behind the scenes, is helping build a better Aotearoa. 
We all pull together on this waka and if you want work that matters, with people who’ve got your back, you’re in the right place.

The Infrastructure Engineer plays a key role in ensuring Waste Management’s IT infrastructure is reliable, secure, and highly available. The role works across Microsoft, cloud, network, and infrastructure technologies, supporting both day-to-day operations and key Digital Solutions initiatives.

Key responsibilities include:

  • Support and maintain Microsoft 365, Azure, cloud, server, and network environments.
  • Provide Level 2 infrastructure support, troubleshooting and escalating priority issues where required.
  • Monitor infrastructure performance and respond to alerts, faults, and service disruptions.
  • Manage patching, upgrades, maintenance, and infrastructure lifecycle activities.
  • Support technology projects and the Digital Solutions roadmap.
  • Maintain technical documentation, operational procedures, and Disaster Recovery plans.
  • Conduct Disaster Recovery testing and support business continuity readiness.
  • Work with vendors and technology partners to resolve issues and deliver improvements.
  • Ensure infrastructure services align with Waste Management’s cyber security standards and best practices.
  • Identify opportunities to improve resilience, automation, performance, and efficiency.

What you’ll need:

  • Good understanding of IT project management methodologies and delivery practices.
  • Knowledge of ITIL practices and experience using ServiceNow or a similar IT Service Management platform.
  • Strong understanding of IT infrastructure, business systems, and operational processes.
  • Experience with Cisco and Meraki networking technologies, including VPNs, switching, routing, and wireless.
  • Experience supporting Microsoft Windows Server, Microsoft 365, Azure/cloud platforms, and Citrix environments.
  • Relevant industry certifications such as CCNA, Microsoft Azure/Microsoft certifications, or VMware VCP would be advantageous.
  • A tertiary qualification in Information Technology, Computer Science, or a related discipline, or equivalent practical industry experience.

What we offer:

  • Competitive Salary Package
  • Valid and rewarding career path
  • Work Life Balance Initiatives
  • Professional Development Opportunities
  • Onsite Café and Carpark
  • Discounts on various products for you and your family to enjoy
  • Discounts on Fuel at Z!

To apply for this role click “I'm interested”

Please note - we do not always work to fixed closing dates and may start considering applications as they are received so we encourage you to apply early.

WM is an EEO employer and promotes drug and alcohol-free workplaces.

You must be in New Zealand and hold a current work visa / residency or NZ citizenship.

How we rate this

Infrastructure Engineer at WM New Zealand rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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