In-Demand Stack developer Jobs in Carnegie, Vic

Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Senior Backend Engineer - Engine
Easygo —Melbourne VIC
- AI
Quick Apply
5d
AI Deployment Strategist
Mistral AI —Melbourne VIC
- Full-time
- AI
- Health insurance
- Parental leave
3d
Engineering Manager (Front-End) - Small Biz Experience
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- AI
- Leadership
SAP B1 Support Engineer
Kogan —South Melbourne VIC
- Full-time
- Sales
- Administrative experience
- SQL
- Wellness program
11d
Salesforce | Multiple Opportunities Available
Deloitte —Melbourne VIC
- Salesforce
- AWS
- AI
- Parental leave
Sr. Forward Deployed Engineer
Databricks —Melbourne VIC
- SQL
- APIs
- AI
Senior Principal Product Manager
Zendesk —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- Product management
- APIs
Senior Prototyping Engineer, Prototyping and AI Customer Engineering
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AI
- Communication skills
3d
Field Sales Representative, Google Cloud
Google —Melbourne VIC
- Full-time
- Databases
- Presentation skills
- Bachelor's degree
Director, Lakebase Sales Specialists
Databricks —Melbourne VIC
- Sales
- APIs
- AI
Senior /Lead Consultant - Native Mobile Dev
Fabric Group Holdings Pty Ltd —Melbourne VIC
- Full-time
- Hybrid work
- Leadership
- Communication skills
Quick Apply
2d
Customer Success Manager
Cloud Factory —Melbourne VIC
- On call
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Engineering Squad Lead
Pentana Solutions —Melbourne VIC
- Full-time
Talent with technology enriches humanity
Fabric Group Holdings —Melbourne VIC
- AI

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Senior Backend Engineer - Engine
Easygo —Melbourne VIC
Work across backend, infrastructure and data engineering. Build and scale backend services using Go and Rust. This is a backend first role with exposure across…
Quick Apply
5d
Senior Engineer
Domain Group —Cremorne VIC
Observability: Structured logging, error handling, and APM tooling (NewRelic or equivalent); knows how to read what's happening in production.

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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

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stack developer jobs in carnegie, vic

Senior Gemini Platform Engineer

Senior Backend Engineer - Engine

AI Deployment Strategist

Engineering Manager (Front-End) - Small Biz Experience

SAP B1 Support Engineer

Salesforce | Multiple Opportunities Available

Sr. Forward Deployed Engineer

Senior Principal Product Manager

Senior Prototyping Engineer, Prototyping and AI Customer Engineering

Field Sales Representative, Google Cloud

Director, Lakebase Sales Specialists

Senior /Lead Consultant - Native Mobile Dev

Customer Success Manager

Engineering Squad Lead

Talent with technology enriches humanity

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