In-Demand Python developer Jobs in Melbourne Vic

Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Senior AI Engineer, AI Accelerator - Hybrid
Wesfarmers —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
- Parental leave
Senior MLOPS Engineer
Australia Post —Richmond VIC
- Overtime
- Azure
- SQL
- AWS
Principal Engineer
Portable —Melbourne VIC
- $138,000 - $190,000 a year
- Hybrid work
- Azure
- AWS
- AI
- Profit sharing
- Parental leave
Quick Apply
2d
Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst
Accenture —Melbourne VIC
- Full-time
- CRM software
- DevOps
- AWS
Google Platform Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- APIs
- Communication skills
- Parental leave
Quick Apply
11d
Senior DevOps Engineer
Tes Global —Melbourne VIC
- Full-time
- Azure
- DevOps
- AWS
Quick Apply
Senior DevOps Engineer
Australia Post —Richmond VIC
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
13d
Oracle Billing and Revenue Management (BRM) Developer
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AWS
- Agile
Technology Lead
Domain Group —Cremorne VIC
- Azure
- Computer Science
- DevOps
Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Software troubleshooting
- AWS
- Bachelor's degree
7d
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Security Engineer II, AWS Security Corporate Response
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Bachelor's degree
- Scripting
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science
Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- CRM software
- AWS
- Presentation skills
Senior DevSecOps Engineer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Scripting
Sr. Forward Deployed Engineer
Databricks —Melbourne VIC
- SQL
- APIs
- AI
Platform Engineering Lead
Thales —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
14d
Senior Automation QA Engineer / SDET (Python)
Binance —Melbourne VIC
- Full-time
- Hybrid work
- APIs
- AI
Quick Apply
4d

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Senior Gemini Platform Engineer

Accenture -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

CI/CD
Management
SAP
ERP systems
Microservices
SQL
Machine learning
APIs
Security
ServiceNow
AI
Identity & access management

Full Job Description

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at accenture.com.

Role Focus

You will lead the technical architecture and delivery of enterprise-grade AI platforms. Your mission is to move clients from "Experimentation" to "Production" by architecting high-performance, secure, and cost-optimized environments for Gemini models. You will be responsible for architecting and implementing Google cloud, Gemini Enterprise, Vertex AI and other Google specific technology focused solutions for Accenture’s clients.

Key Responsibilities & Toolset Proficiency

Generative AI & Model Management

Gemini 1.5 Pro/Flash & Model Garden: Deploy and fine-tune Gemini models for specialized tasks (reasoning, long-context analysis, multimodal processing).

Vertex AI Studio: Manage the lifecycle of prompts and model versions, ensuring optimal performance across different enterprise use cases.

Orchestration & Agentic Logic

Vertex AI Agent Builder: Build "System-of-Action" agents using the native Google stack to minimize latency and maximize security.

Multi-Agent Systems: Architect complex, stateful agentic workflows, utilizing Google’s solutions and other relevant industry leading solutions to solve complex business use-cases spanning multiple industries.

Agent Development Kit (ADK): Standardize the creation of agents to ensure portability and consistency across the enterprise.

Data & Vector Infrastructure

BigQuery (Vector Search): Integrate structured business data with unstructured vector embeddings directly within BigQuery to power grounded, real-time AI responses.

Vertex AI Search & Conversation: Implement RAG (Retrieval-Augmented Generation) at scale, ensuring agents have access to the most recent and relevant enterprise knowledge.

Cloud Architecture & Engineering

Microservices (Cloud Run/GKE): Containerize and scale agentic applications using GKE for high-performance workloads or Cloud Run for serverless efficiency.

Event-Driven Design (Pub/Sub): Build asynchronous, resilient AI pipelines that trigger actions across the enterprise based on real-time data events.

Development & MLOps

Python & API Design: Craft robust, clean, and performant Python code and design secure APIs that connect Gemini to legacy systems (ServiceNow, SAP, Oracle).

CI/CD for ML (MLOps): Implement automated testing, deployment, and monitoring pipelines to manage model drift and ensure reliability.

Productivity Tools: Leverage Gemini Code Assist, Gemini CLI, and Antigravity to accelerate the development lifecycle and automate repetitive infrastructure tasks.

Technical Requirements

Platform Mastery: Advanced experience with the Vertex AI suite, including Model Garden and Agent Builder. Experience with Gemini CLI, Code Assist, Agent development kit and the future breadth of Google development tools.

Engineering Excellence: Proven track record of designing and deploying AI and Agentic frameworks, architecting agentic workflows compliant with responsible AI guideline. Sound knowledge of Google cloud solutions including Google Kubernetes engine and other relevant tools.

MLOps Discipline: Hands-on experience with Vertex AI Pipelines or Kubeflow for managing production AI lifecycles.

Data Savvy: Proficiency in SQL/BigQuery and vector database management.

Security Mindset: Deep understanding of Google Cloud VPC Service Controls, IAM, RAI and enterprise security protocols for AI.

Qualifications

5+ years in cloud engineering, Machine learning and AI development.

3+ years specifically focused on AI/ML implementation and deploying agentic systems

Proven track record of delivering end-to-end AI solutionsfor enterprise clients.

Why this role?

In this role, you aren't just an "AI developer"—you are a Reinvention Engineer. You are building the "Enterprise AI foundation” for our clients across business verticals. You will be the technical lead who ensures that when our clients deploy multi-agent systems, the infrastructure is as robust, secure, and performant as their core banking or ERP systems.

#LI_GM #LI-GM

Apply Now

Refine Your Search

python developer jobs in melbourne vic

Senior Gemini Platform Engineer

Senior AI Engineer, AI Accelerator - Hybrid

Senior MLOPS Engineer

Principal Engineer

Tech Architecture Sr Manager / Manager / Associate Manager / Specialist/ Sr. Analyst

Google Platform Engineer - GCP

Senior DevOps Engineer

Senior DevOps Engineer

Oracle Billing and Revenue Management (BRM) Developer

Technology Lead

Support Engineer, Region Services

Senior AI Engineer, Data Science

Senior Product Data Engineer

Security Engineer II, AWS Security Corporate Response

Senior Platform Engineer

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

Senior DevSecOps Engineer

Sr. Forward Deployed Engineer

Platform Engineering Lead

Senior Automation QA Engineer / SDET (Python)

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