Senior MLOPs Platform Engineer

Job Description To help us scale the AI systems behind that intelligence, we're looking for a Senior MLOps Platform Engineer to join our MLOps Platform team in Sydney. This is a genuine opportunity to own greenfield platform work at serious scale - Solstice Analytics is one of the top three AWS users in the APAC region. The systems you'll build aren't theoretical, they're processing aerial imagery across Australia, the US, and Canada, and serving AI models to real customers at high concurrency. You'll sit between traditional DevOps and the new world of AI engineering, which means this role suits someone with a strong back-end and platform engineering foundation who is ready to grow their career into AI, or who is already making that transition. AI experience is a bonus, not a barrier to entry, we can coach that side as a team. 🔹 What you'll be doing You'll own projects end to end, from architecture and design through to implementation, delivery, and production operations. That kind of trust and autonomy is real here, not a recruitment line. Day to day that looks like: Designing and building 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 Building the LLM platform that will underpin Solstice Analytics's next generation of generative AI products, including deployment, governance, experimentation, and cost optimisation across CPU/GPU workloads Owning developer experience for AICV engineering teams, CI/CD pipelines, Docker tooling, ArgoCD, W&B, and Arize AI Driving reliability and observability across production ML systems with real SLAs and SLOs Contributing production-quality Python to shared platform libraries and services Playing a tech lead role on your primary project, with advisory exposure across others Engaging directly with ML tooling vendors including AWS, GCP, Weights & Biases, Confluent, and Arize AI The teams depending on your platform include Model R&D, Computer Vision, Insurance Data Science, Agentic AI, and AI Map Data. Qualifications What we're looking for Must-haves: 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: you've 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 Highly valued: 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 is welcome — equivalent practical experience is equally valued. This role is based in our Barangaroo, Sydney office, with an expectation of at least two days per week on-site. This role is open to Australian citizens and permanent residents, or those with full working rights in Australia. Company Description Property intelligence is reshaping how the world understands the built environment, and Solstice Analytics is driving that. We put 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. Additional Information Some of our benefits Solstice Analytics takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include: Quarterly wellbeing day off - Four additional days off annually for your 'YOU' Days Wellbeing and technology allowance Annual flu vaccinations Hybrid flexibility for this role Solstice Analytics subscription (of course!) Stocked kitchen with access to all the snacks you need In-office lunch every Tuesday and Thursday at our Sydney CBD office Showers available for anyone cycling to work or lunchtime gym-goers! Working at Solstice Analytics 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. If you can see yourself working at Solstice Analytics and feel you have the right level of experience, we invite you to get in touch. Read the product documentation for Solstice Analytics AI: https://docs.nearmap.com/display/ND/NEARMAP+AI For a deep dive into Solstice Analytics AI, listen to AI Systems Senior Director Mike Bewley on the Mapscaping podcast https://mapscaping.com/blogs/the-mapscaping-podcast/collecting-and-processing-aerial-imagery-at-scale Thanks, but we got this! Solstice Analytics does not accept unsolicited resumes