Top Tech Jobs & Startup Jobs in Melbourne

Lead Xero’s Cloud Networks team, setting direction and delivering a multi-year strategy across AWS and edge providers. Manage and develop seven engineers while balancing roadmap priorities with support requests and incidents. Oversee cloud networking, DNS, CDN, reliability, security, cost, technical debt, and modernization. Collaborate with Product, Security, and Cloud Capabilities teams, establish effective ways of working, and communicate decisions clearly to stakeholders.

Lead the technical direction of a shared front-end platform across multiple teams. Guide React and TypeScript standards, improve CI/CD and developer experience, shape performance and accessibility roadmaps, modernize legacy components, and design secure, scalable systems. The role also involves cross-functional influence, technical mentoring, coaching engineers, and hands-on problem solving.

Lead the architecture and development of modern React, Next.js, and TypeScript customer-facing web experiences. Design a high-performance, accessible multi-site platform integrating Salesforce Experience Cloud, headless CMS capabilities, and AWS infrastructure. Guide migration of high-traffic sites, establish target architecture, coach engineers, and lead an engineering pod. Partner with Product, Marketing, and Support while exploring AI-powered and agentic customer experience solutions.

Design and build scalable data solutions spanning ingestion, modelling, pipelines, and platform infrastructure. Own complex technical problems, improve data quality and self-service capabilities, and operate production systems with monitoring and incident response. Use Snowflake, dbt, Prefect, AWS, Terraform, and Flink to develop reliable data platforms and real-time products. Collaborate with product, security, engineering, and data-consuming teams while promoting automation, testing, CI/CD, and modern engineering practices.

Build and maintain SQL data models, dbt pipelines, snapshots, governed semantic layers, and trusted data products in Snowflake. Support financial, workforce, and legal reporting while helping develop conversational AI and agentic data capabilities. Partner with Finance, Legal, and People teams to translate business questions into reliable metrics and models. Validate outputs, improve data quality, share engineering patterns, mentor colleagues, and establish consistent modeling standards.

Design, build, and operate production systems powering Xero’s ML, LLM, and agentic AI features. Responsibilities include backend services, orchestration, infrastructure, APIs, cloud deployment, observability, reliability, cost and latency optimization, incident response, and large-scale data processing. The role also involves establishing engineering standards, mentoring engineers, and partnering with scientists and cross-functional teams to deliver dependable AI products.

Design, build, and operate production backend systems, services, pipelines, and infrastructure powering Xero’s LLM-driven and agentic AI products. Responsibilities include system architecture, APIs, cloud infrastructure, reliability, observability, cost and latency management, on-call support, incident response, data processing, and mentoring engineers. The role partners with scientists and cross-functional teams to operationalize AI systems at scale without requiring model-training expertise.

Leads multiple engineering teams responsible for payment products and platform capabilities. Sets engineering strategy, architecture, roadmap, reliability, security, and operational excellence priorities while partnering with Product and Design. Develops engineering managers and technical leaders, drives predictable delivery, manages technical trade-offs, champions AI-enabled engineering practices, and builds an inclusive, high-trust culture for globally scaled payment systems.

Site Reliability Engineer responsible for improving reliability across Xero’s global platform. The role involves building Kubernetes operators and automated tooling, enhancing AWS telemetry and alerting, implementing chaos engineering, load shedding, and rate limiting, and coordinating incident management and post-incident reviews. The engineer partners with product and infrastructure teams to design resilient systems, diagnose distributed-system issues, and apply sustainable reliability improvements.

Build and operate AI enablement platforms, internal skills marketplaces, and AI tool distribution systems used by engineering teams. Develop agent skills and remediation agents, establish AI engineering best practices, and manage production reliability through monitoring, runbooks, and rollback planning. Collaborate with AWS, Microsoft, and GitHub on early-access technologies while influencing technical direction and supporting a growing AI-focused team.