{"id":1932772,"url":"https://alion.io/job/nearmap-principal-ai-platform-engineer","title":"Principal AI Platform Engineer","company":{"id":4832,"name":"Nearmap","domain":"nearmap.com","url":"https://alion.io/company/nearmap","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":257000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":912},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"Terraform","optional":false},{"name":"Argo Workflows","optional":true},{"name":"Feature Store","optional":true},{"name":"Flyte","optional":true},{"name":"Istio","optional":true},{"name":"Kubeflow","optional":true},{"name":"RAG","optional":true},{"name":"Service Mesh","optional":true}],"status":"live","first_seen_at":"2026-10-05T22:00:26Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-10T00:23:59Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Property intelligence is reshaping how the world understands the built environment, and Nearmap 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.\n As Principal AI Platform Engineer, you’ll be the key architect and technical owner of the platform that powers Nearmap AI innovation. You’ll lead a team of 3 to 4 mid-level and Senior Engineers, set the technical vision for our ML infrastructure, and drive its evolution.\nThis is a leadership role for a seasoned engineer who thinks in systems. Nearmap captures and processes aerial imagery at a scale that breaks most infrastructure: thousands of EKS nodes running batch inference, distributed GPU training across two clouds, real-time model endpoints behind customer products, and LLM and agentic systems moving from prototype into production. You won’t only build on that platform. You’ll define what it becomes.\nReporting to the Director, AI Systems Engineering, your customers are the AICV product teams: AI Model R&D, Computer Vision, Insurance Data Science, Agentic AI, and AI Map Data. Your objective is a robust, scalable, efficient ecosystem that acts as a force multiplier for the whole AI organisation.\nTo be clear about the boundary: this is a platform role, not an application role. You build what those teams build on, not the customer-facing products themselves.\nDay to day, you’ll:\nDefine and own the technical roadmap for core ML infrastructure: workflow orchestration on Kubernetes, distributed training, batch inference at thousands-of-nodes scale, real-time serving on Ray, and LLMOps.\n\nMake the critical design calls and evaluate new technologies, from orchestrators and serving frameworks to vector databases.\n\nLead and mentor a team of 3 to 4 mid-level and senior ML systems engineers, and own technical hiring for the platform team.\n\nSpearhead the highest-risk work yourself: multi-cloud GPU capacity strategy, foundational platform components, and the observability stack.\n\nWrite production Python for the hardest parts of the shared platform, and prototype new capabilities before the team commits to them.\n\nEstablish and champion MLOps and AIOps best practice across the organisation, covering automation, infrastructure as code, CI/CD, and security through the AI lifecycle.\n\nPartner with Data Science and ML Engineering teams, turning their challenges into an actionable platform roadmap.\n\nOwn service level objectives and GPU cost efficiency across AWS and GCP, lead major incident response, and build detection for the ways production ML fails quietly.\n\n You’re a strategic pragmatist. You understand complex systems deeply and make practical trade-offs. You build for the future without over-engineering for the present.\n\nYou’re a collaborative leader. You elevate your team by sharing knowledge, setting high standards, and fostering an environment where the best ideas win.\n\nYou think from first principles. You want to understand the why behind technical choices, cut through the noise to the core problem, and design elegant solutions from the ground up.\n\nYou take ultimate ownership. You’re relentless about reliability, efficiency, and user impact for everything you and your team build.\n\nYou’re a builder first. You’ve earned the right to set direction because you’ve shipped and operated the systems you’re now designing. You still open the editor.\n\nWhat you’ll bring\n10+ years in software engineering, with at least 4 years focused on building and operating large-scale infrastructure, platform engineering, or distributed systems in production.\n\nProven experience leading technical projects and mentoring or managing a team of engineers.\n\nDeep, production-level expertise designing, building, and operating systems on Kubernetes, including GPU scheduling.\n\nExpert-level Python, and the distributed systems judgment to reason clearly about failure, backpressure, and cost at scale.\n\nHands-on experience building and managing cloud infrastructure on AWS and GCP with infrastructure as code (Terraform or Pulumi).\n\nStrong, practical grounding in modern software development practice: Git, CI/CD, monitoring, alerting, and automated testing.\n\nBachelor’s or Master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.\n\nHighly desirable\nWorkflow orchestration frameworks such as Argo Workflows, Kubeflow Pipelines, Flyte, or Ray and KubeRay.\n\nDesigning and managing large-scale, GPU-intensive ML workloads, and GPU capacity strategy across more than one cloud.\n\nDeep familiarity with the MLOps and LLMOps ecosystem: model registries, feature stores, serving frameworks, vector databases, and RAG systems.\n\nAdvanced Kubernetes concepts, including service mesh (Istio), custom operators, and multi-cluster networking.\n\nPetabyte-scale data pipelines, or geospatial and computer vision workloads.\n\nA track record of contributing to open-source projects in the cloud-native or MLOps space.\n\n We move fast and work smart, often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.\nIn addition to your annual leave, Nearmap offers:\n4 extra “YOU” days off each year. Take a break, no questions asked.\n\nCompany-sponsored volunteering days to give back.\n\nGenerous parental leave policies for growing families.\n\nWork from Overseas Policy: explore the world in the approved list of cities while you work.\n\nDiscounted Private Health Insurance plans.\n\nA Nearmap subscription (naturally).\n\nSome of our benefits:\nNearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:\nQuarterly wellbeing day off - Four additional days off annually for your 'YOU' Days\nWellbeing and technology allowance\nAnnual flu vaccinations\nHybrid flexibility for this role\nNearmap subscription (of course!)\nStocked kitchen with access to all the snacks you need\nIn-office lunch every Tuesday and Thursday at our Sydney CBD office\nShowers available for anyone cycling to work or lunchtime gym-goers!\nWhy you'll love working at Nearmap:\nWe move fast and work smart; often wearing multiple hats. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.\nLearn More About The Work We Do\nYouTube Page\nLinkedIn Page\nThanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. 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