In-Demand Strategic cloud engineer, platform and ai infrastructure Jobs in Melbourne Vic

Strategic Cloud Engineer, Platform and AI Infrastructure
Google —Docklands VIC
- Full-time
- Management
- Computer Science
- DevOps
9d
Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
Engineer - AI Platform
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Master's degree
- AWS
- AI
IT Infrastructure & Cloud Manager
For Purpose Aged Care —Cheltenham VIC
- Remote
- Azure
- Agile
- IT
- Work from home
- Employee assistance program
Principal Engineer / Consulting Engineer (AI-Led Digital Platform)
Mindera —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- AWS
- Presentation skills
Quick Apply
Incident Management Engineer, AWS Incident Detection and Response
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Weekend availability
- AWS
- Analysis skills
- Leadership
9d
Solutions Engineer - Internet & Mass-Scale Infrastructure
Cisco Systems —Melbourne VIC
- Full-time
- Management
- Sales
- AI
Senior Infrastructure & Cloud Engineer
Johns Lyng Group —Melbourne VIC
- Urgently hiring
- Azure
- Office
- SQL
AWS & Azure Multi Cloud Engineer
Capgemini —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- AWS
10d
Senior Engineer - AI Workflows
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Salesforce
- APIs
- AI
- Work from home
Enterprise Architect - Cloud and Infrastructure
Endeavour Group —Richmond VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Work from home
Engineering Manager (Cloud and Data)
GROW Inc. —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Parental leave
Developer/Programmer
Mayfly Ventures —Collingwood VIC
- From $80,000 a year
- Full-time
- Hybrid work
- Bachelor's degree
- Software development
- APIs
- Travel reimbursement
Quick Apply
14d
Network Infrastructure Construction Quality Engineer, Global Network Deployment Quality Assurance Cabling
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- AutoCAD
- CAD
- AWS
Junior Sales Engineer – Partnerships & Growth
iottag —South Melbourne VIC
- $64,795.41 - $74,994.04 a year
- Full-time
- Engineering
- Business development
- Education
- Professional development assistance
Quick Apply
14d
Forward Deployed Engineer III, Conversational AI
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
7d
Customer Success Manager (SaaS | Construction Tech)
BuildPass —Richmond VIC
- $85,000 - $105,000 a year
- Full-time
- Construction
- AI
Quick Apply
Senior AI Deployment Strategist - Melbourne, Canberra
Mistral AI —Melbourne VIC
- Full-time
- AI
Practice Customer Engineer, Artificial Intelligence, Google Cloud
Google —Docklands VIC
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
10d
Cloud Engineer (AWS / DevOps)
Accenture —Melbourne VIC
- Full-time
- Azure
- Management
- DevOps
10d

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Strategic Cloud Engineer, Platform and AI Infrastructure

Google -
Docklands VIC

Apply Now

Job Details

Full-time
9 days ago

Qualifications

CI/CD
Cloud infrastructure
Management
Computer Science
Software design
MCP
DevOps
Google Cloud Platform
Bachelor's degree
AI
Identity & access management

Full Job Description

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.

Minimum qualifications:

Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience.
6 years of experience automating infrastructure provisioning, DevOps, continuous integration, or delivery.
Experience in networking, AI Infrastructure (TPU, GPU, NPUs etc), compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining AI infrastructure and cloud solutions in virtualized environments.
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

Preferred qualifications:

Experience in large-scale GPU cluster resource elastic scheduling, cloud rendering, and AI container inference management.
Experience in customer-facing AI/ML migration, including service discovery, assessment, planning, execution, and operations.
Knowledge of containerization and container orchestration technologies such as Google Kubernetes Engine (GKE).
Familiarity with standard IT security practices such as identity and access management, data protection, encryption, certificate and key management.
Familiar with the AI model development lifecycle, including multi-model adaptation, resource allocation scheduling, deployment, RAG, Agent, and Model Context Protocol (MCP) development.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses grow. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud Platform and Infrastructure Engineer, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with product management and product engineering to drive excellence in Google Cloud products and features.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Provide domain expertise in cloud platforms and infrastructure; solving complex cloud platform challenges.
Work with customers to design and implement Cloud based technical architectures, migration approaches, and application optimizations that enable business objectives.
Be a technical advisor and perform troubleshooting to resolve technical challenges for customers.
Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Apply Now

Refine Your Search

strategic cloud engineer, platform and ai infrastructure jobs in melbourne vic

Strategic Cloud Engineer, Platform and AI Infrastructure

Forward Deployed Engineer III, Gen AI, Google Cloud

Engineer - AI Platform

IT Infrastructure & Cloud Manager

Principal Engineer / Consulting Engineer (AI-Led Digital Platform)

Incident Management Engineer, AWS Incident Detection and Response

Solutions Engineer - Internet & Mass-Scale Infrastructure

Senior Infrastructure & Cloud Engineer

AWS & Azure Multi Cloud Engineer

Senior Engineer - AI Workflows

Enterprise Architect - Cloud and Infrastructure

Engineering Manager (Cloud and Data)

Developer/Programmer

Network Infrastructure Construction Quality Engineer, Global Network Deployment Quality Assurance Cabling

Junior Sales Engineer – Partnerships & Growth

Forward Deployed Engineer III, Conversational AI

Customer Success Manager (SaaS | Construction Tech)

Senior AI Deployment Strategist - Melbourne, Canberra

Practice Customer Engineer, Artificial Intelligence, Google Cloud

Cloud Engineer (AWS / DevOps)

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