N

Nearmap

Aerial imagery and geospatial data platform

Principal Cloud Platform Engineer

Platform EngineeringUpdated on Nov 12
Full-timeSydney NSW, AustraliaNo salary listed

About the Job

Requirements

  • At least 10 years of experience in software or infrastructure engineering, including at least 4 years focused on building and operating large-scale cloud platforms or distributed systems in production.
  • Proven experience leading technical projects and mentoring or managing a team of engineers.
  • Production-level expertise designing, building, and operating Kubernetes at scale, including EKS or GKE, node pools, and GPU compute management.
  • Hands-on experience building and managing cloud infrastructure on AWS and GCP with infrastructure as code using Terraform or Pulumi.
  • Strong grounding in cloud networking, identity and access management, and secrets management, with the judgment to design for least privilege.
  • Production-quality Python or Go for platform tooling, and practical depth in modern software practices including Git, continuous integration and continuous delivery, monitoring, alerting, and automated testing.
  • A bachelor's or master's degree in computer science, engineering, or a related technical field, or equivalent practical experience.

Responsibilities

  • Own the technical direction for cloud infrastructure across AICV, including Kubernetes fleet design on EKS and GKE, compute, networking, identity, and storage.
  • Design and operate GPU-capable compute, including node pools, drivers, device plugins, autoscaling, and multi-tenant isolation, so the AI platform team can schedule workloads without managing the hardware.
  • Make critical infrastructure design decisions and conduct technical evaluations and build-versus-buy analysis with the Director and AI platform counterpart.
  • Lead and mentor a team of up to three platform engineers, and own technical hiring for the team.
  • Write and own Terraform for the full footprint, and build self-service paths for AICV teams to provision infrastructure without raising a ticket.
  • Build the continuous integration and continuous delivery and observability foundations used by AICV services and the machine learning platform, including pipelines, metrics, logs, and traces.
  • Own reliability and cost for the infrastructure layer, including service level objectives, cloud spend across AWS and GCP, capacity, and major incident response; participate in on-call for the systems built.
  • Co-own standards, paved paths, and shared components for the wider Nearmap developer platform with the Platform team in ETO.
  • Own infrastructure security controls in partnership with Security, which owns policy and standards, and the Platform team, which owns the company-wide pattern.
  • Implement least-privilege identity across AWS and GCP, secrets management, network segmentation, and private connectivity between clouds.
  • Implement supply-chain and workload security for the fleet, including container image scanning, admission policy, runtime controls, and vulnerability response.
  • Manage encryption, key management, and access control for imagery and model artifacts used by AICV training and inference.
  • Enforce security controls in code and in the pipeline so the secure path is the default.

Desired Qualifications

  • GPU infrastructure at fleet scale, including NVIDIA drivers and device plugins, MIG or time-slicing, and multi-cloud capacity strategy.
  • Multi-tenant Kubernetes, including namespace isolation, resource quotas, admission policies, and abstractions such as custom operators or Crossplane.
  • Experience running infrastructure beneath machine-learning workloads such as Argo Workflows, Ray, or Kubeflow, without necessarily owning the machine-learning layer.
  • GitOps and progressive delivery at scale, including ArgoCD or Flux and canary and blue-green strategies.
  • FinOps across multiple clouds, including tagging, rightsizing, commitment strategy, and GPU utilisation reporting.
  • Cloud security and compliance, including SOC 2 and the NIST Cyber Security Framework.
  • Petabyte-scale data pipelines, or geospatial and computer vision workloads.

About the Company

Nearmap

Aerial imagery and geospatial data platform

Nearmap provides cloud-based access to high-resolution aerial imagery, city-scale 3D content, AI-derived datasets, and geospatial tools on a subscription basis. It captures and publishes seamless digital maps quickly using patented cameras and a software pipeline, delivering data via MapBrowser and APIs for GIS, planning, and operations. Its imagery includes vertical, oblique, and 3D views, with AI that identifies over 130 property features to aid risk assessment, quoting, and claims. Its goal is to make aerial data easily accessible for virtual site inspections, remote monitoring, property evaluation, and understanding historical context across multiple industries.

Company size
501-1,000
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
2009

Recently Posted Jobs

Explore more opportunities at Nearmap

See more jobs