Jobs / Nearmap
Principal AI Platform Engineer
Nearmap · Barangaroo, NSW, Australia
Barangaroo, NSW, AustraliaExp: 10+ yrsHybrid
Remuneration
Not specified
Location
Barangaroo, NSW, Australia
Visa sponsorship
Not specified
Job summary
Lead the technical direction and evolution of a machine-learning platform supporting aerial imagery, computer vision, data science, and agentic AI teams. Design and operate Kubernetes-based workflow orchestration, distributed GPU training, large-scale batch inference, Ray model serving, and LLMOps across AWS and GCP, while leading a team of 3 to 4 engineers and owning platform reliability and GPU cost efficiency.
Benefits
Four additional annual days offCompany-sponsored volunteering daysParental leaveDiscounted private health insuranceWellbeing and technology allowanceAnnual flu vaccinationsHybrid work flexibilitySubscription to the company’s servicesStocked kitchenIn-office lunch on Tuesdays and Thursdays
Qualifications
- At least 10 years of software engineering experience, including 4 or more years building and operating production-scale infrastructure, platforms, or distributed systems.
- Experience leading technical projects and mentoring or managing engineers.
- Production expertise designing, building, and operating Kubernetes systems, including GPU scheduling.
- Expert Python skills and strong judgment in distributed systems, failure handling, backpressure, and cost at scale.
- Experience managing cloud infrastructure on AWS and GCP using Terraform or Pulumi.
- Practical experience with Git, CI/CD, monitoring, alerting, and automated testing.
- Bachelor’s or master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
Responsibilities
- Own the technical roadmap for core machine-learning infrastructure, including Kubernetes orchestration, distributed training, batch inference, Ray serving, and LLMOps.
- Evaluate technologies and make platform architecture decisions.
- Lead, mentor, and hire for a team of 3 to 4 ML systems engineers.
- Develop multi-cloud GPU capacity strategy, foundational platform components, and observability.
- Write production Python and prototype platform capabilities.
- Promote MLOps and AIOps practices, including automation, infrastructure as code, CI/CD, and security across the AI lifecycle.
- Partner with data science and machine-learning engineering teams to shape the platform roadmap.
- Own service-level objectives and GPU cost efficiency across AWS and GCP, lead major incident response, and improve detection of production ML failures.
Skills
Argo WorkflowsAWSEKSGCPGitIstioKubernetesMakePulumiPythonTerraform
Degrees
Bachelor’s or master’s degree in computer science, engineering, or a related tec
Languages
Python
Industry
Aerial imageryGeospatial technologyComputer vision
Relocation
No