Software Engineer (AI infrastructure)

I’m currently working with a leading AI infrastructure business that is building out a new Platform Engineering function in Sydney (20-30x roles). This is a greenfield environment where software engineers will have the opportunity to build systems from the ground up across distributed systems, data engineering, automation, developer tooling, AI enablement and product engineering. The Role • Own the design and delivery of software components end to end, including interfaces, data models and storage • Design and build distributed systems that remain reliable under load, including handling partial failure, backpressure and recovery • Remain hands-on with coding, code reviews and technical design • Lead small groups of engineers through delivery, breaking down work, sequencing priorities and maintaining design consistency • Own the full production lifecycle of what you build, including testing, deployment, monitoring, on-call and incident follow-up • Work closely with product, engineering and operations teams to turn loosely defined requirements into scalable technical solutions • Contribute to CI/CD, observability and developer experience Desired Qualifications • 3+ years of professional software engineering experience (ideally in AI Infrastructure/Data Centers, Hyperscaler, Big 4 Banks - experience from these companies are paramount) • Strong proficiency in at least one programming language such as Python, Go, TypeScript, Java, C# or Rust • Experience designing software components and owning technical decisions • Practical experience building and operating distributed systems in production • Strong understanding of data structures, algorithms, concurrency and system design • Experience owning production services, including monitoring, on-call and incident response • Experience leading a small group of engineers through delivery, formally or informally • Strong written and verbal communication skills • Experience across data engineering, automation, developer tooling, AI/ML, cloud infrastructure, Kubernetes, Terraform, high-volume data pipelines or telemetry would be highly regarded.