In-Demand Database engineer Jobs in Victoria

Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
Implementation Engineer
Global-e —Melbourne VIC
- Salesforce
- SQL
- APIs
Quick Apply
Manager, Technical Support – ANZ
SOTI Inc. —Mulgrave VIC
- Full-time
- Management
- Databases
- Analysis skills
2d
Senior Sales Engineer
Thales —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Communication skills
- Parental leave
Senior IT Systems Engineer
Stile Education —Melbourne VIC
- On call
- Azure
- Management
- Customer service
Principal Consultant - GCP Architect
Infosys —Melbourne VIC
- $150,742 - $171,215 a year
- Business development
- Analysis skills
- Agile
- Health insurance
- Parental leave
14d
Infrastructure Technical Lead
Ivalua —Melbourne VIC
- Part-time
- Hybrid work
- Azure
- Administrative experience
- Leadership
Quick Apply
13d
Senior Clinical Research Scientist (Neurophysiologist)
University of Melbourne —Melbourne VIC
- $124,656 - $148,023 a year
- Full-time
- Doctoral degree
- Patient monitoring
- Health insurance
- Parental leave
2d
Senior Tax Technology Analyst (Transformation) | National
Deloitte —Melbourne VIC
- Azure
- SQL
- APIs
- Parental leave
Senior Full Stack Engineer
Woolworths Group —Melbourne VIC
- Full-time
- Master's degree
- AWS
- APIs
2d
Cloud Engineering Lead
AustralianSuper —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Systems Development Manager, Network Core
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- AWS
Senior Blockchain Development
JPLoft —Melbourne VIC
- Computer Science
- Research
- Master's degree
- Health insurance
Contracts Administrator
John Holland —Melbourne VIC
- Contract
- Microsoft Excel
- Engineering
- Microsoft Office
- Parental leave
Security Engineer
Pointsbet Australia Pty Limited —Cremorne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- Communication skills
Quick Apply
Account Manager - VIC, TAS, SA
Howmet Aerospace —Clayton VIC
- Full-time
- Customer service
- Bachelor's degree
- Business
Quick Apply
6d
Cyber Security Manager
Compass Education —Hawthorn VIC
- Full-time
- Hybrid work
- SQL
- AWS
- APIs
- Parental leave
- Employee assistance program
Quick Apply
Senior Architect (Australia)
Arcanys —Carlton VIC
- Hybrid work
- Azure
- DevOps
- Software development
Quick Apply
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
7d
Senior Architect
ARCANYS —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Software development
Quick Apply
10d

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database engineer jobs near victoria

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

database engineer jobs in victoria

Senior Gemini Platform Engineer

Implementation Engineer

Manager, Technical Support – ANZ

Senior Sales Engineer

Senior IT Systems Engineer

Principal Consultant - GCP Architect

Infrastructure Technical Lead

Senior Clinical Research Scientist (Neurophysiologist)

Senior Tax Technology Analyst (Transformation) | National

Senior Full Stack Engineer

Cloud Engineering Lead

Systems Development Manager, Network Core

Senior Blockchain Development

Contracts Administrator

Security Engineer

Account Manager - VIC, TAS, SA

Cyber Security Manager

Senior Architect (Australia)

Lakebase Specialist Sales

Senior Architect

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