Top Tech Jobs & Startup Jobs in Melbourne

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.

Lead global product marketing for Xero Payments, including bill and invoice payments. Define customer value propositions, positioning, messaging, launch strategies, enablement, and growth initiatives. Partner with Product, Strategy, Design, Analytics, Lifecycle, Sales, and regional teams to assess market opportunities, improve adoption and revenue, and develop measurable customer lifecycle experiments across geographies.

Build and operate Xero’s enterprise Salesforce platform through hands-on development, code reviews, design reviews, incident response, proofs of concept, security improvements, CI/CD automation, release engineering, observability, and agentic change management. The role partners across engineering teams, writes technical documentation, sets platform standards, supports production reliability, and mentors senior engineers while maintaining high deployment and uptime standards.

Maintain and evolve Xero’s large-scale search infrastructure, supporting 50+ million documents, 400TB of data, and 99.9% uptime. Contribute to a search platform modernization project, cluster maintenance, ingestion pipeline integration, and search partnerships. Collaborate with product, architecture, and platform teams while developing search engineering expertise through code reviews and progressively more complex work.

Lead complex security investigations and medium- to high-impact incident response as an Incident Commander. Coach junior analysts, conduct post-incident reviews, improve detections and runbooks, and coordinate security initiatives. Build automations and AI-assisted workflows with appropriate guardrails, collaborate with detection engineers, apply threat intelligence, and communicate clearly with customers and internal stakeholders. The role operates in a global follow-the-sun team with shared after-hours on-call responsibilities.

Leads capability development for Product and Technology teams by building skills frameworks, upskilling programs, internal mobility pathways, and outcome-based metrics. Partners with engineering, product, design, security, data science, senior technical leaders, and People Experience to identify capability gaps and align development initiatives with business goals. Focuses on AI/ML and emerging technology needs, employee growth, retention, delivery velocity, and time-to-productivity.

Build and improve developer-first platform tools, engineering workflows, delivery systems, and unified tooling for thousands of engineers. Solve complex cross-organizational technical challenges, scale AI-native development practices, influence senior stakeholders, and mentor engineers through collaboration and technical leadership. The role is distributed across Australia and New Zealand with quarterly in-person sessions.

Develop and maintain Salesforce platform features using Apex, Lightning Web Components, SOQL, and declarative tools. Support connected sales tools, managed package upgrades, integrations, monitoring, SLOs, sandbox refreshes, and production deployments. Collaborate with cross-functional stakeholders, improve scalability and engineering practices, respond to incidents, investigate root causes, and contribute to quality assurance through TDD and trunk-based development. Mentor colleagues and communicate technical concepts clearly while balancing customer outcomes, delivery speed, and engineering quality.

Leads two database reliability engineering teams across Australia and New Zealand. Owns database infrastructure modernization, AI DBA platform delivery, migrations to Amazon RDS, and transition from SQL Server to Aurora Postgres. Coaches experienced engineers, manages large-scale technical transformations, improves incident response and database operations, and partners with product and technical teams to enable greater database ownership.

Lead data and AI governance initiatives by evolving governance frameworks, creating practical guidance, delivering literacy programs, and partnering with technical, privacy, regulatory, risk, and business teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, explainability, bias mitigation, regulatory alignment, and translating policy into scalable technical and operational practices.