In-Demand Stack python developer Jobs

Senior Gemini Platform Engineer
Accenture —Sydney NSW
- Full-time
- Management
- ERP systems
- SQL
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science
DevOps Manager
CoStar Group —Sydney NSW
- Full-time
- Azure
- Management
- Computer Science
DevOps Lead
ezyCollect by Sidetrade —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Parental leave
- Referral program
Quick Apply
Senior Security Engineer (AI & Automation)
Flywire —Greater Adelaide SA
- Full-time
- Hybrid work
- DevOps
- Master's degree
- AWS
- Employee stock purchase plan
Quick Apply
Senior Software Engineer (Payments & Billing)
Relevance AI —Sydney NSW
- Full-time
- Hybrid work
- AWS
- AI
- Parental leave
- Employee assistance program
DevOps Manager
Domain Group —Pyrmont NSW
- Azure
- Management
- Computer Science
13d
DevOps Lead
EzyCollect —Sydney NSW
- $97,000 - $178,000 a year
- Full-time
- Azure
- Computer Science
- AWS
- Work from home
- Parental leave
Quick Apply
2d
Full Stack Developer
University of Melbourne —Parkville VIC
- $6 - $109,163 a year
- Full-time
- Doctoral degree
- Research
- Master's degree
- Health insurance
- Parental leave
9h

More jobs to discover

Find similar jobs that you might be interested in.

Senior/Staff Platform Engineer
UpGuard —Sydney NSW
5+ years of relevant engineering experience at tech-centric and ideally product-driven companies. Experience building internal platforms as products - with a…
$1,500 a month
8d
Senior Engineer - Workplace Technology
Greenstone Financial Services —Norwest NSW
Retail discounts e.g. movie tickets, Zoo passes, live shows + more. Experience evaluating or supporting Generative AI capabilities within enterprise…
Quick Apply
6d

I want to receive the latest job alert for stack python developer

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

stack python developer jobs near

Platform Engineer jobs in Sydney NSW

Devops Engineer jobs in Sydney NSW

Senior Software Engineer jobs in Sydney NSW

Development Operations Manager jobs in Sydney NSW

Platform Engineer jobs in Brisbane Qld

Platform Engineer jobs in Gold Coast Qld

System Engineer jobs in Melbourne Vic

Platform Engineer jobs in Melbourne Vic

Senior Security Engineer jobs in Cannington Wa

Graduate Engineer jobs in Melbourne Vic

Data Engineer jobs in Sydney Nsw

Process Engineer Part Time jobs in Melbourne Vic

186 Visa, Sponsorship Software Engineer jobs in Sydney Nsw

Devops Engineer jobs in Theodore Act 2905

Electronics Engineer jobs in Sydney Nsw

Devops Engineer jobs in Cranbourne South Vic

Senior Software Engineer jobs in Greater Adelaide Sa

Mechanical Engineer jobs in Queensland

Devops Engineer jobs in Melbourne Vic

Senior Software Engineer jobs in Adelaide Region Sa

Senior Gemini Platform Engineer

Accenture -
Sydney NSW

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

stack python developer jobs

Senior Gemini Platform Engineer

Senior Platform Engineer

DevOps Manager

DevOps Lead

Senior Security Engineer (AI & Automation)

Senior Software Engineer (Payments & Billing)

DevOps Manager

DevOps Lead

Full Stack Developer

More jobs to discover

I want to receive the latest job alert for stack python developer

Related Searches

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected