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About the Role

This role involves owning greenfield platform work at serious scale, processing aerial imagery and serving AI models to real customers. You will sit between traditional DevOps and AI engineering, focusing on building and operating scalable ML infrastructure.

Responsibilities

• Own projects end to end, from architecture and design through to implementation, delivery, and production operations.
• Design and build scalable ML infrastructure, large-scale batch inference on EKS, real-time model serving via Ray Serve, and GPU-accelerated distributed training on GCP and AWS.
• Build the LLM platform for Nearmap's next generation of generative AI products, including deployment, governance, experimentation, and cost optimisation across CPU/GPU workloads.
• Own developer experience for AICV engineering teams, CI/CD pipelines, Docker tooling, ArgoCD, W&B, and Arize AI.
• Drive reliability and observability across production ML systems with real SLAs and SLOs.
• Contribute production-quality Python to shared platform libraries and services.
• Play a tech lead role on your primary project, with advisory exposure across others.
• Engage directly with ML tooling vendors including AWS, GCP, Weights & Biases, Confluent, and Arize AI.

Requirements

• Proven ability working directly with ML Engineers, translating needs into production infrastructure.
• Production experience building and operating Kubernetes-based platforms (EKS/GKE) at scale.
• High-scale, high-concurrency API development and operation in production environments.
• Real operational mindset: managed systems with SLAs and SLOs and stayed close through incidents.
• Strong DevOps fundamentals, CI/CD, infrastructure-as-code, deployment pipelines.
• Production-level Python, services and libraries, not just scripts.
• Ray Serve or equivalent real-time model serving experience.
• LLM or generative AI platform work in production (beyond PoC).
• ML observability tooling, Arize AI, Evidently, Prometheus/Grafana.
• Infrastructure-as-code with Terraform.
• Experience at terabyte or petabyte scale.
• GPU/CPU cost optimisation.
• A degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.
• Must have full working rights in Australia.

Skills

• MLOps
• Platform Engineering
• DevOps
• AI Engineering
• Kubernetes
• EKS
• GKE
• API Development
• CI/CD
• Infrastructure-as-Code
• Python
• Ray Serve
• LLM
• Generative AI
• ML Observability
• Terraform
• GPU
• CPU

Location

• Sydney

Work Type

• Hybrid
• On-site (at least two days per week)

Experience Level

• Senior

Education Level

• Degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience.

Benefits

• Quarterly wellbeing day off - Four additional days off annually for 'YOU' Days
• Wellbeing and technology allowance
• Annual flu vaccinations
• Hybrid flexibility
• Nearmap subscription
• Stocked kitchen with snacks
• In-office lunch every Tuesday and Thursday
• Showers available

About the Company

• Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that.
• Nearmap puts powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work.
• Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.
• We move fast, we care about craft, and we're proud of what we're building.
• If you're energised by turning hard problems into real-world impact, we'd love to meet you.