In-Demand Python developer Jobs in Melbourne, Vic

Forward Deployed Engineer, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
7d
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
4d
Senior Blockchain Development
JPLoft —Melbourne VIC
- Computer Science
- Research
- Master's degree
- Health insurance
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Senior DevSecOps Engineer (AWS)
FrankieOne —Melbourne VIC
- On call
- Hybrid work
- AWS
- Scripting
- AI
11d
Senior DevOps Engineer - AI
Deloitte —Melbourne VIC
- Azure
- Computer Science
- Engineering
- Parental leave
Senior AI Engineer
Karbon —Melbourne VIC
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Parental leave
Quick Apply
11d
Senior Platform Engineer - Observability
Kraken —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- AI
- Communication skills
Quick Apply
Staff or Senior Technical Application Engineer – Windows 11 PC Ecosystem (Australia)
Qualcomm —Melbourne VIC
- Remote
- Management
- Doctoral degree
- Computer Science
TL Data and Analytics Legacy
AIA —Melbourne VIC
- Full-time
- Azure
- SQL
- Analysis skills
Solution Architect
Future Secure AI —Melbourne VIC
- Azure
- DevOps
- AWS
Quick Apply
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- DevOps
- SQL
- Annual leave
- Parental leave
Quick Apply
Specialist Power Systems Engineer
Vestas —Melbourne VIC
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Parental leave
- Employee assistance program
Senior DevSecOps Engineer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Scripting
14d
Senior DevOps Engineer
Tes Global —Melbourne VIC
- Full-time
- Azure
- DevOps
- AWS
Quick Apply
Senior DevOps Engineer - Contract/Perm
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- AWS
- Leadership
- Parental leave
Quick Apply
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science

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Application Programmer
Riverdale Institute —West Melbourne VIC
The organisation operates a range of internally developed software applications and digital systems that support student administration, assessment management,…
$77,000 a year
Quick Apply
11d

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Forward Deployed Engineer, Gen AI, Google Cloud

Google -
Docklands VIC

Apply Now

Job Details

Full-time
7 days ago

Qualifications

Microsoft Excel
Doctoral degree
Computer Science
MCP
Engineering
Google Cloud Platform
Master's degree
Bachelor's degree
Machine learning
APIs
Security
AI

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 Science, Technology, Engineering, Mathematics, or equivalent practical experience.
2 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers).
Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience architecting, deploying, or managing solutions on a cloud platform (e.g., Google Cloud Platform).

Preferred qualifications:

Master’s degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.
Knowledge of "Large Language Model-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as an innovator-builder moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production, including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive Return on Investment (ROI).
Architect and code the "connective tissue" between Google’s AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
Be able to co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

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

python developer jobs in melbourne, vic

Forward Deployed Engineer, Gen AI, Google Cloud

Delivery Consultant, AWS Professional Services

Senior Blockchain Development

Senior AI Engineer, Data Science

Senior DevSecOps Engineer (AWS)

Senior DevOps Engineer - AI

Senior AI Engineer

Senior Platform Engineer - Observability

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

TL Data and Analytics Legacy

Solution Architect

Lead Data Engineer

Specialist Power Systems Engineer

Senior DevSecOps Engineer

Senior DevOps Engineer

Senior DevOps Engineer - Contract/Perm

Senior Platform Engineer

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