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CYOS Solutions
CYOS Solutions
11 – 50 Darbinieki
KonsultācijasLoģistikaMārketings
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.
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Vakances uzņēmumā

Senior AI and Cloud Engineer — Hybrid, Australia

Build secure AI, machine learning and cloud platforms for Services Australia. Lead scalable engineering, MLOps, infrastructure and governance across hybrid environments.

AUAustrālija
110 $ – 140 $ / stunda
HibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākoņinženieris
AnsibleAWSAzureDNSDockerGrafanaKiberdrošībaKubernetesLinuxMākonisOpenShiftPrometheusPythonTerraform

Apraksts

  • Build and optimise enterprise AI, machine learning and generative AI platforms, applications and infrastructure.
  • Lead secure, scalable and reusable engineering delivery across public cloud, on-premises and hybrid environments.
  • Create cloud-native architectures, automate infrastructure and establish enterprise AI engineering frameworks.
  • Develop 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, secure-by-design practices and Australian Government security, privacy and governance requirements.
  • Assess technical requirements and solution options, then recommend architectures, technologies and implementation approaches.
  • Investigate and resolve complex issues across applications, platforms, infrastructure and enterprise services.
  • Guide multidisciplinary delivery teams with technical leadership and specialist advice.
  • Set engineering standards and reusable architecture patterns, and maintain technical documentation and operational procedures.
  • Work with internal and external stakeholders to align solutions with business needs and organisational objectives.
  • 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

  • An active Baseline security clearance.
  • Senior technical experience in AI software engineering, cloud infrastructure, platform engineering, DevOps, MLOps, solution architecture or enterprise systems integration.
  • Strong experience in AI software engineering or cloud and platform infrastructure engineering.
  • Experience designing, developing and delivering enterprise AI and machine learning solutions in both greenfield and brownfield environments.
  • Strong programming and software engineering skills, especially Python, automation, APIs and enterprise application integration.
  • Experience in AI and machine learning engineering and MLOps, including model development, training, inference, evaluation, deployment, monitoring and lifecycle management.
  • Experience with large language models, generative AI, retrieval-augmented generation, embeddings, vector databases, AI agents and foundation models.
  • Experience with AI frameworks and tools such as Hugging Face, vLLM/TGI, Kubeflow, AWS SageMaker, Azure AI or Azure Machine Learning.
  • Experience in software architecture, systems design, integration, configuration management, release management and automated testing.
  • Experience designing, implementing and supporting enterprise cloud infrastructure across AWS, Microsoft Azure, on-premises or hybrid environments.
  • Experience with Kubernetes, OpenShift, OpenShift AI or equivalent platforms.
  • Experience with Docker or Podman, container image management, registries, vulnerability scanning and secure software supply chains.
  • Experience with infrastructure-as-code and automation tools such as Terraform, Ansible, GitOps, Argo CD, GitLab, GitHub Actions or Azure DevOps.
  • Experience administering Linux and working with networking, storage, DNS, TLS, load balancing, ingress, certificates and cloud or on-premises connectivity.
  • Experience with cloud availability, capacity planning, performance optimisation, disaster recovery and operational resilience.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, AWS CloudWatch or Azure Application Insights.
  • Experience with enterprise platform deployment, migration, systems installation, infrastructure troubleshooting and problem management.
  • Experience applying FinOps principles.
  • Experience with NVIDIA GPU infrastructure, CUDA fundamentals, GPU scheduling and AI workload optimisation.
  • Experience with OpenShift AI pipelines, model registries, model serving and S3-compatible object storage.
  • Experience with REST APIs, OAuth/OIDC, API gateways, streaming platforms and data lakes.
  • Experience with DevSecOps, role-based access control, secrets management, network security, vulnerability management and secure platform configuration.
  • Understanding of Australian Government security frameworks, privacy obligations, data sovereignty and regulatory compliance.
  • Demonstrated ability to provide technical leadership, specialist advice and guidance across complex initiatives.
  • Ability to work autonomously, solve complex technical challenges and influence technical decisions.
  • Demonstrated experience designing complex enterprise technology solutions and delivering secure, scalable, maintainable and supportable systems.
  • Experience leading or contributing to complex software development, systems integration, infrastructure implementation, automated deployment or technology migration.
  • Experience selecting and improving engineering methodologies, development tools, automation practices and technical standards.
  • Understanding of secure-by-design principles, cybersecurity requirements, technical risk management and governance obligations.
  • Ability to investigate and resolve complex technical problems and deliver sustainable improvements.
  • Strong written and verbal communication skills.
  • Experience presenting complex technical concepts, making recommendations, working with multidisciplinary teams and influencing stakeholders.
  • Provide an updated CV, preferably 3–5 pages.
  • Shortlisted candidates must provide a one-page pitch of no more than 5,000 characters addressing the relevant selection criteria.

Priekšrocības

  • Hybrid work-from-home arrangements may be considered after the first two weeks, typically with at least two days onsite each week.
  • Contract extensions may be available, up to a maximum total term of 24 months.

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H1B vīzas sponsorsKonsultācijasLoģistikaRažošana
DEVācijaHibrīdiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuBackend inženierisProgrammatūras inženieris
AWSAzureLinuxMākonisMS SQL ServerOraclePythonSplunkSQL

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