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software engineer

senior full stack & devops engineer - ai solutions

sydney, new south wales
posted 24 june 2026
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this job offer closes 25 july 2026

job details

this job offer closes 25 july 2026

summary

  • sydney, new south wales
  • au$ 171 - au$ 185,000 per year
  • permanent

posted 24 june 2026

reference number
90M0710928_3702822153575520870

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job details

Are you ready to shape the development of applied enterprise AI within a highly forward-thinking technical ecosystem? A premier national financial services provider is looking for a senior systems specialist to bridge the gap between high-level full stack engineering and modern DevOps automation. This is an outstanding chance to bring security, observability, and robust ALM discipline to the frontier of Generative AI.

About the Role

As a Senior Full Stack & DevOps Engineer, your daily mission will focus on designing, building, deploying, and operating AI-powered web, data, and agentic solutions. You will own the pro-code full stack delivery while also productionising low-code agentic systems. By bringing both worlds under one unified engineering practice, you will ensure enterprise applications remain highly secure, testable, and resilient.

What's in it for you

  • Advanced AI Stack: Gain hands-on exposure running enterprise-grade Azure OpenAI, RAG, and multi-agent systems.

  • Long-Term Career Value: Play a key role in a major cloud and mesh platform transformation, expanding your architectural portfolio.

  • Cooperative Environment: Collaborate directly with cross-functional squads, developers, and architects to uplift engineering standards.

Key Responsibilities

  • Full Stack Development: Architect full stack web and data applications on cloud networks using services, functions, and container tools.

  • AI Integration: Productionise modern GenAI patterns, prompt engineering, context management, and custom connectors.

  • DevSecOps Architecture: Build and manage robust CI/CD pipelines, Infrastructure as Code (IaC), secret management, and release governance.

  • System Re-Engineering: Take business-built prototypes and structurally re-engineer them into secure, observable, and enterprise-grade services.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

...

Are you ready to shape the development of applied enterprise AI within a highly forward-thinking technical ecosystem? A premier national financial services provider is looking for a senior systems specialist to bridge the gap between high-level full stack engineering and modern DevOps automation. This is an outstanding chance to bring security, observability, and robust ALM discipline to the frontier of Generative AI.

About the Role

As a Senior Full Stack & DevOps Engineer, your daily mission will focus on designing, building, deploying, and operating AI-powered web, data, and agentic solutions. You will own the pro-code full stack delivery while also productionising low-code agentic systems. By bringing both worlds under one unified engineering practice, you will ensure enterprise applications remain highly secure, testable, and resilient.

What's in it for you

  • Advanced AI Stack: Gain hands-on exposure running enterprise-grade Azure OpenAI, RAG, and multi-agent systems.

  • Long-Term Career Value: Play a key role in a major cloud and mesh platform transformation, expanding your architectural portfolio.

  • Cooperative Environment: Collaborate directly with cross-functional squads, developers, and architects to uplift engineering standards.

Key Responsibilities

  • Full Stack Development: Architect full stack web and data applications on cloud networks using services, functions, and container tools.

  • AI Integration: Productionise modern GenAI patterns, prompt engineering, context management, and custom connectors.

  • DevSecOps Architecture: Build and manage robust CI/CD pipelines, Infrastructure as Code (IaC), secret management, and release governance.

  • System Re-Engineering: Take business-built prototypes and structurally re-engineer them into secure, observable, and enterprise-grade services.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

  • key responsibilities

    • Design, deploy, and operate AI-powered web and agentic data solutions
    • Integrate components across mesh platforms, enterprise APIs, and identity services
    • Architect secure full-stack web and data applications on cloud networks
    • Productionise low-code AI models into observable enterprise-grade systems
    • Apply DevSecOps fundamentals including CI/CD and Infrastructure as Code
    • Re-engineer business-built prototypes into secure, production-ready services
  • qualification

    • Polyglot coding skills in at least two of these
    • including TypeScript
    • Python
    • Java
    • or C#
    • Strong full stack engineering capability across cloud networks using Azure
    • paired with competent SQL

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    show job details

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