Senior Cloud AI Engineer – Hybrid (Melbourne/Sydney)

Cloud Delivered PTY LTD.

Melbourne

Híbrido

AUD 180.000 - 240.000

Jornada completa

hace 10 horas
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Descripción de la vacante

Cloud Delivered is seeking a senior Cloud AI Engineer to design, deploy and optimise AI/ML workloads across on‑prem and public cloud in a large federal program. The role is based in Melbourne or Sydney and begins onsite for two weeks before transitioning to a hybrid pattern.

You will collaborate with Data Scientists, Cyber Security, and Architecture teams to build scalable platform capability with secure-by-design principles and enterprise integration.

Formación

  • Strong communication and negotiation skills.
  • Kubernetes, OpenShift and OpenShift AI: namespaces, RBAC, operators, CRDs, ingress/routes, secrets, workbenches, AI Pipelines/Kubeflow, model registry and serving, distributed workloads, monitoring.
  • Containers and platform engineering: Docker/Podman, image creation, registries, scanning, vulnerability management, container security, secure software supply chain.
  • Linux administration, networking and storage: DNS, TLS, proxies, load balancing, firewalls, certificates, scripting, on-premise to cloud connectivity.
  • DevOps, CI/CD and IaC: Git, GitLab/GitHub/Azure DevOps, Tekton, GitOps/Argo CD, Terraform and/or Ansible, automated build, test and deployment pipelines.
  • Python and scripting for automation, AI/ML integration, APIs, platform tooling and operational support.
  • AI/ML engineering and MLOps: model lifecycle, training, inference, evaluation, deployment, monitoring, optimisation, automated build-and-release.
  • LLM and Generative AI tooling: vLLM/TGI or equivalent, Hugging Face, LLM APIs, embeddings, RAG, vector databases, prompt/evaluation tooling, AI agents, foundation models.
  • GPU engineering: NVIDIA GPUs, CUDA fundamentals, scheduling, resource allocation, utilisation and troubleshooting.
  • APIs and enterprise integration: REST, OAuth/OIDC, API gateways, streaming platforms, data lakes, feature stores.
  • Cloud platforms and AI services: at least one of AWS or Azure (preferably two), with exposure to SageMaker or Azure AI/ML.
  • Object storage and data management, including S3-compatible storage for OpenShift AI pipelines, models and datasets.
  • Security, governance and compliance: RBAC, secrets, certificates, network policies, vulnerability scanning, DevSecOps, data sovereignty, security classifications, privacy, Australian Government regulatory requirements.
  • FinOps: cost transparency, usage optimisation and financial governance for cloud and AI workloads.
  • Applying architecture principles and enterprise technologies to turn complex requirements into scalable, supportable solutions.
  • Proven ability to explain complex technical concepts, facilitate stakeholder discussions and drive consensus on project and organisational goals.

Responsabilidades

  • Designing and maintaining secure, scalable cloud infrastructure for AI, ML and Generative AI services.
  • Leading enterprise AI solution implementation — performance, resilience, operational excellence
  • Driving DevSecOps and secure-by-design principles across AI platforms
  • Wrangling Kubernetes, OpenShift AI, LLMs, MLOps pipelines, GPU engineering and IaC tooling
  • Acting as the technical anchor across complex, multi-team delivery programmes
  • Mentoring APS teams and sharing your expertise as the resident SME

Conocimientos

Cloud AI Eng
Kubernetes
OpenShift AI
LLMs
MLOps pipelines
GPU engineering
IaC tooling
DevSecOps
Python scripting
Security by design

Herramientas

Docker/Podman
Terraform
Ansible
GitHub

Descripción del empleo

Cloud Delivered is seeking a senior Cloud AI Engineer to design, deploy and optimise AI/ML workloads across on‑prem and public cloud in a large federal program. The role is based in Melbourne or Sydney and begins onsite for two weeks before transitioning to a hybrid pattern.

You will collaborate with Data Scientists, Cyber Security, and Architecture teams to build scalable platform capability with secure-by-design principles and enterprise integration.

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