Senior AI Platform Architect for Kubernetes & GPU Infra

Nearmap; Australia; Hybrid; AUD 210,000 - 280,000; Full time

Benefits offered by this job

4 extra “YOU” days off each year

Company-sponsored volunteering days

Generous parental leave

Work from Overseas Policy

Discounted Private Health Insurance

Nearmap subscription

Hybrid flexibility

In-office lunch 2x weekly in Sydney

Shower facilities

Job summary

Nearmap is seeking a Principal AI Platform Engineer to own the platform powering Nearmap AI. You’ll lead a team of 3–4 engineers, shaping the ML infrastructure vision across AWS and GCP with thousands of inference nodes and real-time endpoints.

You’ll drive MLOps/AIOps, observability, and GPU capacity strategy while partnering with Data Science and ML teams to translate challenges into a robust platform roadmap.

Qualifications

• 10+ years in software engineering with at least 4 years on large-scale infrastructure or distributed systems
• Proven experience leading technical projects and mentoring engineers
• Deep production-level Kubernetes and GPU scheduling experience
• Expert-level Python and understanding of failure modes at scale
• Hands-on experience with AWS and GCP and infrastructure as code (Terraform or Pulumi)
• Strong grounding in Git, CI/CD, monitoring, alerts, and automated testing
• Bachelor’s or Master’s degree in CS, engineering, or related field, or equivalent experience

Responsibilities

• Define and own the technical roadmap for core ML infrastructure: workflow orchestration on Kubernetes, distributed training, batch inference at scale, real-time serving, and LLMOps
• Make critical design calls and evaluate new technologies for orchestration and serving frameworks
• Lead and mentor a team of 3–4 ML systems engineers and own technical hiring for the platform team
• Spearhead multi-cloud GPU capacity strategy and foundational platform components
• Write production Python for the shared platform and prototype new capabilities
• Establish and champion MLOps and AIOps best practices across automation, IaC, CI/CD, and security
• Partner with Data Science and ML Engineering teams to turn challenges into a platform roadmap
• Own service level objectives and GPU cost efficiency across AWS and GCP; lead major incident response

Skills

Kubernetes

GPU scheduling

Python

Git

CI/CD

Monitoring

Automated testing

System design

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Terraform

Pulumi

Ray

Kubernetes tooling

Job description

Nearmap is seeking a Principal AI Platform Engineer to own the platform powering Nearmap AI. You’ll lead a team of 3–4 engineers, shaping the ML infrastructure vision across AWS and GCP with thousands of inference nodes and real-time endpoints.

You’ll drive MLOps/AIOps, observability, and GPU capacity strategy while partnering with Data Science and ML teams to translate challenges into a robust platform roadmap.