CYOS Solutions
CYOS Solutions
CYOS Solutions Melburn, Sidney va Brisben shaharlarida federal hukumat uchun xodim yollash jarayonlarini qo‘llab-quvvatlovchi IT rekruting agentligidir. Kompaniya IT pudratchilarini ishga joylashtirishga ixtisoslashgan bo‘lib, ilgari o‘zlari ham pudratchi sifatida ishlagan asoschilarining amaliy tajribasiga tayanadi. Uning rekruting faoliyati malakali IT mutaxassislarini hukumatga yo‘naltirilgan turli imkoniyatlar bilan bog‘laydi va mijozlarga IT sohasidagi ixtisoslashgan kadrlar ehtiyojini qondirishda yordam beradi.

Senior Cloud AI Engineer, Melbourne (Hybrid)

Build secure enterprise AI and cloud platforms for Services Australia. Lead MLOps, infrastructure, integration and DevSecOps across hybrid environments.

Tavsif

  • Build and improve enterprise AI, machine learning and generative AI platforms, applications and infrastructure
  • Lead secure, scalable engineering across public cloud, on-premises and hybrid environments
  • Create cloud-native architectures, automated infrastructure and enterprise AI engineering frameworks
  • Build and maintain AI and machine learning solutions, covering model deployment, inference, evaluation, monitoring and lifecycle management
  • Design and support highly available cloud infrastructure, including capacity planning, resilience and operational performance
  • Lead complex software development, systems integration, platform deployment, migration and technical implementation
  • Develop Infrastructure as Code, CI/CD pipelines, automated deployments and secure software delivery processes
  • Apply DevSecOps and secure-by-design practices in line with Australian Government security, privacy and governance requirements
  • Assess technical requirements and solution options, then recommend architectures, technologies and implementation approaches
  • Diagnose and resolve complex issues across applications, platforms, infrastructure and enterprise services
  • Guide multidisciplinary delivery teams with technical leadership and specialist advice
  • Set engineering standards, reusable architecture patterns, documentation and operational procedures
  • Work with internal and external stakeholders to align solutions with business needs and organisational goals
  • Advance innovation, continuous improvement, technical governance and adoption of emerging technologies
  • Prepare systems for operation and support reliability, releases, knowledge transfer and ongoing service improvement

Talablar

  • Hold an active Baseline clearance
  • Bring senior-level experience in AI software engineering, cloud infrastructure, platform engineering, DevOps, MLOps, solution architecture or enterprise systems integration
  • Have strong experience in one or more relevant areas of AI engineering, software development, MLOps, cloud infrastructure, platform engineering or DevOps
  • Demonstrate strong programming and software engineering skills, particularly in Python, automation, APIs and enterprise application integration
  • Have experience delivering enterprise AI and machine learning solutions, including model deployment, inference, evaluation, monitoring and lifecycle management
  • Have experience with LLMs, generative AI, RAG, embeddings, vector databases, AI agents and foundation models
  • Have experience with relevant AI frameworks and tools such as Hugging Face, vLLM/TGI, Kubeflow, AWS SageMaker, Azure AI or Azure Machine Learning
  • Have experience with AWS, Microsoft Azure, on-premises or hybrid cloud infrastructure
  • Have experience with Kubernetes, OpenShift, OpenShift AI or comparable platforms
  • Have experience with Docker or Podman, container image management, registries, vulnerability scanning and secure software supply chains
  • Have experience with infrastructure as code and automation tools such as Terraform, Ansible, GitOps, Argo CD, GitLab, GitHub Actions or Azure DevOps
  • Have experience with Linux administration, networking, storage, DNS, TLS, load balancing, ingress, certificates and cloud or on-premises connectivity
  • Have experience with cloud availability, capacity planning, performance optimisation, disaster recovery and operational resilience
  • Have experience with monitoring and observability tools such as Prometheus, Grafana, AWS CloudWatch or Azure Application Insights
  • Have experience deploying and migrating enterprise platforms, installing systems, troubleshooting infrastructure and managing problems
  • Have experience applying FinOps principles
  • Have experience with NVIDIA GPU infrastructure, CUDA fundamentals, GPU scheduling and AI workload optimisation
  • Have experience with OpenShift AI pipelines, model registries, model serving and S3-compatible object storage
  • Have experience with REST APIs, OAuth/OIDC, API gateways, streaming platforms and data lakes
  • Have experience with DevSecOps, RBAC, secrets management, network security, vulnerability management and secure platform configuration
  • Understand Australian Government security frameworks, privacy obligations, data sovereignty and regulatory compliance
  • Demonstrate technical leadership and the ability to provide specialist advice and guidance across complex initiatives
  • Work autonomously, resolve complex technical challenges and influence technical decisions
  • Demonstrate experience designing complex enterprise technology solutions and implementing secure, scalable, maintainable and supportable systems
  • Have experience leading or contributing to complex software development, systems integration, infrastructure implementation, automated deployment or technology migration
  • Have experience selecting, implementing and improving engineering methodologies, development tools, automation practices and technical standards
  • Understand secure-by-design principles, cybersecurity requirements, technical risk management and governance obligations
  • Have strong written and verbal communication skills
  • Provide an updated CV, preferably 3–5 pages
  • If shortlisted, provide a one-page pitch of no more than 5,000 characters addressing the relevant selection criteria

Imtiyozlar

  • A hybrid work-from-home arrangement may be considered after the first two weeks, typically requiring at least two days onsite each week
  • Contract extensions may be available, up to a maximum term of 24 months

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