In-Demand Java software engineer Jobs in Melbourne, Vic

Strategic Cloud Engineer, Platform and AI Infrastructure
Google —Docklands VIC
- Full-time
- Management
- Computer Science
- DevOps
11d
Principal Production Engineer
Canva —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- University
- AI
- Parental leave
Quick Apply
4d
Pioneer Talent Program - AI Agent Engineer
Binance —Melbourne VIC
- Full-time
- Remote
- Computer Science
- Master's degree
- Databases
Quick Apply
Engineering Manager (Cloud and Data)
GROW Inc. —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
- Parental leave
Senior Consultant - Full Stack Developer
Fabric Group Holdings —Melbourne VIC
- Azure
- AWS
- Software development
Senior Backend Engineer, Financial Markets
Airwallex —Melbourne VIC
- Full-time
- Salesforce
- SQL
- APIs
Senior Software Engineer, Core Experiences - Melbourne, Australia
Speechify —Melbourne VIC
- Remote
- APIs
3d
Binance Accelerator Program - Quality Assurance Engineer, Risk
Binance —Melbourne VIC
- Remote
- Computer Science
- Engineering
- Analysis skills
Quick Apply
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
9d
Systems Development Manager, Network Core
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
Senior CSOC Analyst (Japanese & English speaking)
Fastly —Melbourne VIC
- Every weekend
- Software troubleshooting
- English
Quick Apply
Senior QA Engineer - Web3 Wallet
Binance —Melbourne VIC
- Full-time
- Remote
- APIs
- AI
Quick Apply
Staff or Senior Technical Application Engineer – Windows 11 PC Ecosystem (Australia)
Qualcomm —Melbourne VIC
- Remote
- Management
- Doctoral degree
- Computer Science
Senior Backend Engineer (Big Data)
Binance —Melbourne VIC
- Full-time
- Remote
- Bilingual
- Databases
- SQL
- Work from home
Quick Apply

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Strategic Cloud Engineer, Platform and AI Infrastructure

Google -
Docklands VIC

Apply Now

Job Details

Full-time
11 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

java software engineer jobs in melbourne, vic

Strategic Cloud Engineer, Platform and AI Infrastructure

Principal Production Engineer

Pioneer Talent Program - AI Agent Engineer

Engineering Manager (Cloud and Data)

Senior Consultant - Full Stack Developer

Senior Backend Engineer, Financial Markets

Senior Software Engineer, Core Experiences - Melbourne, Australia

Binance Accelerator Program - Quality Assurance Engineer, Risk

Delivery Consultant, AWS Professional Services

Systems Development Manager, Network Core

Senior CSOC Analyst (Japanese & English speaking)

Senior QA Engineer - Web3 Wallet

Staff or Senior Technical Application Engineer – Windows 11 PC Ecosystem (Australia)

Senior Backend Engineer (Big Data)

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