In-Demand python developer Jobs in melbourne, vic

Forward Deployed Engineer III, GenAI
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
9h
Senior AI Engineer, AI Accelerator - Hybrid
Wesfarmers —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Parental leave
19h
Delivery Consultant, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
21h
QA (Quality Assurance) Analyst
Computershare —Abbotsford VIC
- $35.12 - $58.20 an hour
- Full-time
- Management
- Computer Science
- Engineering
- Health insurance
- Life insurance
Quick Apply
Platform Engineer
Karbon —Melbourne VIC
- On call
- Computer science
- Azure
- Computer Science
- Annual leave
- Parental leave
Quick Apply
Google Data Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- Parental leave
Quick Apply
Solution Architect
Future Secure AI —Melbourne VIC
- Azure
- DevOps
- AWS
Quick Apply
Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Specialist Power Systems Engineer
Vestas —Melbourne VIC
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Parental leave
- Employee assistance program
Lead Data Engineer
Karbon —Melbourne VIC
- Azure
- DevOps
- SQL
- Annual leave
- Parental leave
Quick Apply
Senior Platform Engineer - Observability
Kraken —Melbourne VIC
- Full-time
- Hybrid work
- AWS
- AI
- Communication skills
Quick Apply
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science
Senior DevOps Engineer
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Management
- DevOps
- Free parking
- Employee stock purchase plan
14d
Senior DevOps Engineer - Contract/Perm
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- AWS
- Leadership
- Parental leave
Quick Apply
Senior Engineering Manager
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- DevOps
- Free parking
- Employee stock purchase plan

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Senior AI Engineer, AI Accelerator - Hybrid
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A team member discount card and discounts across a range of businesses – including Bunnings, Kmart, Target, Officeworks, Clearskin Care and Kleenheat Gas.
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You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud…

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Forward Deployed Engineer III, GenAI

Google -
Docklands VIC

Apply Now

Job Details

Full-time
9 hours ago

Qualifications

Microsoft Excel
Law
Doctoral degree
Computer Science
MCP
Engineering
Google Cloud Platform
Master's degree
Bachelor's degree
Software development
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 Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Experience managing technical discovery sessions.

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, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. 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, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
Build 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 the Engineering teams.
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 III, GenAI

Senior AI Engineer, AI Accelerator - Hybrid

Delivery Consultant, AWS Professional Services

QA (Quality Assurance) Analyst

Platform Engineer

Google Data Engineer - GCP

Solution Architect

Senior Gemini Platform Engineer

Specialist Power Systems Engineer

Lead Data Engineer

Senior Platform Engineer - Observability

Senior Platform Engineer

Senior DevOps Engineer

Senior DevOps Engineer - Contract/Perm

Senior Engineering Manager

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