CYOS Solutions
CYOS Solutions
CYOS Solutions ir IT personāla atlases aģentūra, kas atbalsta federālās valdības darbinieku piesaisti Melburnā, Sidnejā un Brisbenā. Uzņēmums specializējas IT līgumdarbinieku piesaistē un izmanto savu dibinātāju praktisko pieredzi, jo viņi iepriekš paši strādājuši kā līgumdarbinieki. Veicot atlasi, uzņēmums savieno kvalificētus IT speciālistus ar dažādām ar valsts pārvaldi saistītām iespējām un palīdz klientiem apmierināt specializēta IT personāla vajadzības.

Senior AI and Cloud Engineer

Build secure AI and machine learning platforms and cloud infrastructure for Services Australia. Lead scalable solutions across public cloud, on-premises and hybrid environments.

Apraksts

  • Design and improve enterprise AI, machine learning and generative AI platforms, applications and supporting infrastructure.
  • Lead delivery of secure, scalable, reusable engineering solutions across public cloud, on-premises and hybrid environments.
  • Create cloud-native architectures, automate infrastructure and establish enterprise AI engineering frameworks.
  • Build, integrate and maintain AI and machine learning solutions, covering model deployment, inference, evaluation, monitoring and lifecycle management.
  • Design and support highly available cloud infrastructure, including resource allocation, capacity planning, resilience and operational performance.
  • Lead complex software development, systems integration, platform deployment, migration and technical implementation.
  • Build and maintain infrastructure-as-code, CI/CD pipelines, automated deployments and secure software delivery processes.
  • Apply DevSecOps and secure-by-design practices while meeting Australian Government security, privacy and governance requirements.
  • Assess technical requirements, compare solution options and recommend architectures, technologies and implementation approaches.
  • Troubleshoot complex issues affecting applications, platforms, infrastructure and enterprise services.
  • Provide technical leadership, specialist advice and guidance to multidisciplinary delivery teams.
  • Set engineering standards, reusable architecture patterns, technical 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.
  • Support operational readiness, system reliability, release management, knowledge transfer and ongoing service improvement.

Prasības

  • Hold an active Baseline security clearance.
  • Bring senior technical experience in AI software engineering, cloud infrastructure, platform engineering, DevOps, MLOps, solution architecture or enterprise systems integration.
  • Have strong experience in AI/ML engineering, software development, model deployment, MLOps, enterprise application integration, or cloud infrastructure and platform engineering.
  • Demonstrate strong programming and software engineering skills, especially in Python, automation, APIs and enterprise application integration.
  • Have experience with enterprise AI/ML solutions, including model development, training, inference, evaluation, deployment, monitoring and lifecycle management.
  • Have experience with LLMs, generative AI, RAG, embeddings, vector databases, AI agents and foundation models.
  • Have experience with 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 equivalent 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/on-premises connectivity.
  • Have experience with infrastructure 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.
  • Understand FinOps principles, cloud cost transparency, resource optimisation and financial governance.
  • Know NVIDIA GPU infrastructure, CUDA fundamentals, GPU scheduling and AI workload optimisation.
  • Know OpenShift AI pipelines, model registries, model serving and S3-compatible object storage.
  • Know REST APIs, OAuth/OIDC, API gateways, streaming platforms and data lakes.
  • Know 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 provide specialist advice and guidance across complex technology initiatives.
  • Work autonomously, resolve complex technical challenges and influence technical decisions.
  • Show 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, infrastructure automation practices and technical standards.
  • Communicate clearly in writing and verbally, present complex technical concepts, make recommendations, collaborate with multidisciplinary teams and influence stakeholders.
  • 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.

Priekšrocības

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

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