AI-Driven Platform Engineer | Cloud-Native & API-First

CGL – Retail Services; Sydney; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary package + superann.

Flexible working arrangements

North Sydney office with perks

Job summary

CGL – Retail Services is seeking a Platform & AI Engineer in Sydney to modernise applications, data platforms, and AI capabilities. You will design, build, and deliver scalable, secure cloud-native solutions that enable transformation and measurable business value.

You will work with stakeholders to transform legacy systems into API-first platforms, applying AI and automation to improve client experiences and operational performance. Strong technical delivery is essential.

Qualifications

• Bachelor's degree in software engineering or computer science.
• Extensive experience in developing, deploying, and integrating software solutions.
• Azure experience and working toward certification.
• Demonstrated experience implementing AI, automation, or intelligent workflow solutions within an enterprise environment.

Responsibilities

• Modernise applications, data platforms, integrations, and AI capabilities to shape the tech landscape.
• Deliver scalable, secure, cloud‑native solutions that drive innovation and business growth.
• Collaborate with stakeholders to transform legacy systems into API‑first platforms.
• Translate business requirements into practical, secure, maintainable solutions.

Skills

Software engineering

Cloud architecture

Data engineering

AI

Education

Bachelors in software engineering or computer science

Azure experience and certification underway

Enterprise AI/automation implementation experience

Tools

Azure

Job description

CGL – Retail Services is seeking a Platform & AI Engineer in Sydney to modernise applications, data platforms, and AI capabilities. You will design, build, and deliver scalable, secure cloud-native solutions that enable transformation and measurable business value.

You will work with stakeholders to transform legacy systems into API-first platforms, applying AI and automation to improve client experiences and operational performance. Strong technical delivery is essential.