In-Demand Api platform engineer Jobs in Carlton Vic

Senior Gemini Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Management
- ERP systems
- SQL
API Platform Engineer
Accenture —Melbourne VIC
- Full-time
- Azure
- Management
- DevOps
- On-the-job training
- Parental leave
3d
Platform Engineer
Tata Consultancy Services —Melbourne VIC
Staff Backend Software Engineer - User Platform
Canva —Melbourne VIC
- Full-time
- Hybrid work
- Management
- University
- Communication skills
Quick Apply
DevOps Engineer
Amdocs —Melbourne VIC
- $175,000 - $180,000 a year
- Full-time
- Azure
- DevOps
- AWS
Quick Apply
5d
AI Engineer
Pentana Solutions —Melbourne VIC
- Contract
- APIs
- AI
IAM Technical Lead
Showtime Consulting —Melbourne VIC
- Contract
- Azure
- Management
- AWS
Quick Apply
Technical Lead
Sciana Health —Melbourne VIC
- $120,000 - $140,000 a year
- Hybrid work
- DevOps
- Systems design
- AWS
Quick Apply
12d
Senior Platform Engineer
Commonwealth Bank —Melbourne VIC
- Full-time
- Azure
- AWS
- APIs
4d
Head of Engineering
EQL —Cremorne VIC
- $200,000 - $250,000 a year
- Full-time
- Hybrid work
- AI
- Annual leave
- Parental leave
Quick Apply
Java Developer
iGreenData —Melbourne VIC
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- AWS
- Health insurance
Full Stack Engineer
NAB —Melbourne City Centre VIC
- Full-time
- Databases
- APIs
- AI
10d
Lead Engineer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Presentation skills
- Team management
Software Engineer
Alitsy Pty Ltd —Southbank VIC
- $70,000 - $80,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
Quick Apply
14d
Data Engineer
Red Energy —Richmond VIC
- Hybrid work
- SQL
- AWS
- APIs
- Health insurance
- Parental leave
Quick Apply
11d
Senior Software Engineer
Contour Education —Glen Waverley VIC
- $160,000 - $180,000 a year
- Full-time
- Senior Secondary Certificate of Education
- AWS
- Education
- Work from home
- Employee assistance program
Quick Apply
Staff Software Engineer - Mobile Platform
Canva —Melbourne VIC
- Full-time
- Hybrid work
- University
- AI
- Communication skills
- Parental leave
Quick Apply
Software Engineer
Wesfarmers Health —Docklands VIC
- Azure
- DevOps
- SQL
- Employee assistance program
Senior IAM Engineer
Medibank —Docklands VIC
- Azure
- Computer Science
- Analysis skills
senior java backend engineer
Aututech —Altona North VIC
- Computer Science
- AWS
- COVID-19 protective measures

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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

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