Platform Engineer

Share

Wellington

On-site

NZD 140,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Meaningful equity
High-ownership culture

Job summary

Share in Wellington seeks a Senior Platform Engineer to scale our cloud-native infrastructure for the bandwidth marketplace. You will own Kubernetes clusters, production APIs, and the full stack from VM to containers, enabling reliable services at scale.

You lead, anticipate incidents, and drive improvements with an AI-enabled toolbox, collaborating with network, software, and systems teams in a fast-growing, investor-backed company with meaningful equity.

Qualifications

  • 7+ years of systems/infrastructure experience with ownership at scale.
  • Leadership mindset with responsibility for outcomes and decisions.
  • Deep Kubernetes production experience: deployment, scale, debugging.
  • Cloud infrastructure experience (GCP preferred): networking, IAM, multi-region.
  • Full-stack depth from VM layer to containers and orchestration.
  • Production API design and management experience.
  • AI-native approach: built with AI tools, not only used.

Skills

Leadership
Kubernetes
GCP
Production API design
AI-native tooling
System/infrastructure engineering

Tools

Docker
VMware
KVM
Hyper-V

Job description

About Share

Share is a venture backed company building the marketplace for bandwidth: the infrastructure layer that connects internet capacity suppliers to every individual and business that runs on it.

Today, bandwidth is the most in-demand asset in the world, but its buy/sell process is highly fragmented and inefficiently priced. Share brings the supply and demand together by building distributed routing nodes and connecting carriers, ISPs, data centers, and enterprise buyers through a neutral exchange, turning bandwidth into a liquid, tradeable resource.

We're building the category-defining marketplace for how bandwidth gets bought, sold, and delivered globally.

The Role

Share's infrastructure runs the marketplace: every API call, every monitoring signal, every system that keeps carriers, ISPs, and enterprise buyers transacting without interruption. We're looking for a senior Platform Engineer to scale that infrastructure at the pace the marketplace is growing: modern, cloud-native infrastructure: Kubernetes, cloud architecture, containers and virtualization, and the APIs and DevOps practices holding it all together.

This isn't just an operational role. We need someone who leads, who catches problems before they become incidents, and pushes the team toward better decisions based on knowledge and experience. You'll work alongside our systems engineer and very closely with the network and software teams.

Our Ideal Candidate
  • 7+ years of professional systems/infrastructure engineering experience, with real ownership of infrastructure at scale.
  • A leadership mindset, not just an operational one; you take responsibility for outcomes, catch issues before they become incidents, and push for the right call for your team and the company.
  • Deep Kubernetes expertise: you've deployed, scaled, and debugged production clusters.
  • Strong cloud infrastructure experience (GCP preferred): networking, IAM, cost and capacity planning, multi-region architecture.
  • Real depth across the full stack, old and new: production Docker and container orchestration, and virtualization technologies (VMware, KVM, Hyper-V or similar). You're equally comfortable from the VM layer up through containers and orchestration, not specialized in just one.
  • Deep production API design and management experience.
  • AI-native in your workflow: you've built with these tools, not just used them, and can show the leverage you've gained.
  • You ship, and you drive. Handed a systems problem, you scope it, build it, own it through production, and use what you've learned to push the department forward.
Compensation & Benefits

Competitive salary (top of the local market where you are located) and meaningful equity in a mission-driven, investor-backed company A high-ownership environment with a steep but well-supported learning curve, and a team that writes things down.

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