Top Tech Jobs & Startup Jobs in Melbourne

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.

Owns customer-facing incident management from investigation and impact assessment through resolution and post-incident reviews. Coordinates engineering, product, support, leadership, and regional teams during major and minor incidents; manages stakeholder communications; leads short- and long-term remediation; and improves incident processes, registers, and prevention strategies to reduce recurrence and customer disruption.

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.

Lead Xero’s global Paid Search program by building AI-powered automation, bidding, optimization, reporting, and workflow systems. Partner with Data Science, Marketing Technology, Product, CRO, and Performance Marketing teams to improve SEM scalability and decision-making. Explore emerging search technologies, validate automated solutions, translate technical concepts for senior stakeholders, and mentor SEM specialists while driving measurable commercial growth.

Leads Xero’s global data science, analytics, ML, and AI strategy across multiple product areas. The role manages and scales a multidisciplinary organization, advises executive leadership, oversees AI governance, model risk, data quality, privacy, experimentation, and enterprise data architecture, and drives AI-powered products including chatbots and agentic workflows. It also establishes operating models, develops leaders, manages strategic risks, and partners cross-functionally to deliver company-wide data and AI impact.

Build trusted relationships with accounting firms and advise them on adopting Xero and digital accounting strategies. Apply accounting expertise to understand practice needs, recommend practical technology solutions, guide digital transformation, and support partner growth within an assigned territory. The role emphasizes consultative relationship building, problem-solving, autonomy, and career development rather than traditional sales experience.

Serve as a trusted technical advisor to accounting and bookkeeping practices. Partner with sales teams to scope solutions, design workflows, deliver tailored product demonstrations, guide cloud implementations and migrations, and support adoption. Translate complex requirements into scalable strategies, identify risks, resolve sales-cycle roadblocks, and share market insights with product and engineering teams.

Lead development of full-stack customer-facing features and refactor monolithic systems using React, Redux, C#, ASP.NET Core, and SQL Server. Drive architecture improvements on AWS, integrate AI-assisted tools and automated agents, participate in on-call incident response, and mentor engineers while promoting CI/CD and TDD practices.