Top Engineering Jobs in Melbourne, VIC

Lead the mobile platform for iOS and Android: design shared architecture, own core libraries (auth, payments, observability), improve security and CI/CD, run releases, drive cross-team initiatives, mentor engineers, and raise developer experience and reliability.

Design and build scalable backend services for the Spend and Accounting Hub to track, reconcile and account for spend transactions. Own end-to-end feature delivery, ensure reliability, performance and compliance, contribute to long-term architecture, collaborate cross-functionally, and provide technical mentorship.

Design, implement, and operate scalable backend services for the Spend and Accounting domains powering cards and expense workflows. Own end-to-end feature delivery, contribute to architecture, write testable reliable code, uphold observability and API best practices, collaborate with product and infrastructure, and provide technical mentorship to raise engineering standards.

Lead design and delivery of scalable cloud infrastructure for Spend. Embed with dev teams to improve reliability, run incident response and observability, own SLOs/runbooks, and collaborate with DevOps and security for compliance and resilience.

Lead global corporate and cloud network architecture and roadmap. Design, deploy and operate secure, highly available hybrid LAN/WAN/Wi‑Fi/VPN across multi‑cloud and multi‑region sites. Own incident response, vendor hardware configuration, international connectivity (including China), infrastructure-as-code automation, documentation, mentoring, and participate in global on‑call rotations.

Lead and manage multiple engineering teams across Transfers, Client Treasury, and GTPN Infrastructure to define technical vision, deliver high-quality payment and treasury products, remove blockers, collaborate with product and design, measure product performance using data, and scale global payment infrastructure.

Lead and mentor engineers to design, build, and maintain scalable automation and onboarding systems. Implement AI/data-driven risk detection, collaborate with product/ops/compliance, drive architecture and reliability, and improve operational efficiency.