Top Engineering Jobs in Melbourne

As R&D Director, you'll lead the ANZ R&D function, drive innovation, and build capabilities while collaborating with various departments to ensure operational readiness and regulatory compliance.

Lead Xero’s SRE team and reliability program across APAC and EMEA. Own HA/DR testing, incident command, reliability gap remediation, and improvements to detection, response, and prevention. Partner with platform, observability, database reliability, and shared services teams while reducing customer-detected incidents. Build and mentor a distributed engineering team, establish reliability practices, and maintain calm, effective incident response across time zones.

Designs and integrates systems across Hivemind Vision and Mission Autonomy stacks. Captures requirements, develops system architectures, creates SysML/UML/UPDM models, supports MBSE workflows, and connects system models with codebases. Collaborates with program leadership, design, development, integration, testing, product, and business development teams. Maintains systems engineering processes and reports project status, risks, and accomplishments to senior leadership.

Leads ML and platform engineering teams building scalable, production-grade machine learning infrastructure. Responsibilities include coaching engineers, guiding architecture and engineering trade-offs, improving MLOps maturity and observability, translating business goals into delivery plans, managing roadmaps, maintaining system health, and supporting production incidents through code review, debugging, or hands-on development. The role supports AI products including conversational GenAI, automated bank reconciliation, document capture, and cash-flow forecasting.

The Engineering Manager will lead software delivery teams, champion AI workflows, resolve technical challenges, and enhance engineering practices to meet business goals.

Lead a distributed data engineering team to design, build, and maintain core data models and real-time data flows on an AWS/Snowflake platform. Balance strategic architecture and hands-on delivery, manage risks and dependencies, establish SLOs and DataOps practices, and coach senior engineers to improve platform quality and performance.

Lead long-term technical direction and architecture for Product Platform Engineering. Modernize and decouple a legacy accounting monolith into resilient APIs and microservices, drive platform reliability and scalability, establish engineering principles and guardrails for AI-native and autonomous workflows, and align senior stakeholders around architectural strategy.

Drive workforce planning for Design & Engineering in Australia: manage demand marketplace, maintain 12-week forecasts, support mobilization/demobilization, engage stakeholders and pursuits, improve WFP data and tags, identify recruitment needs, escalate supply/demand risks, and provide insights to enable resourcing decisions.

Leads Canva’s Core Production Engineering team, managing software engineers who build reliable, scalable services and solve complex cross-team production challenges. Sets team direction, priorities, and delivery goals; coaches engineers; drives adoption of engineering practices; and helps turn targeted solutions into reusable capabilities. The role requires strong systems, networking, cloud, reliability, architecture, and software engineering knowledge, with responsibility for shaping an evolving technical function.

Lead Canva’s Embedded Production Engineering team, managing senior engineers who solve critical reliability, scalability, observability, data protection, and software safety challenges. Define the team’s operating model, prioritize high-impact engagements, influence engineering leaders across teams, establish reusable engineering standards, and develop senior technical leaders. The role requires strong software engineering, systems, cloud, reliability, and cross-organizational leadership experience.

Leads software engineering teams delivering scalable customer-facing applications, digital services, and internal platforms. Provides technical direction, drives architecture and engineering excellence, oversees development practices, resolves complex technical challenges, and supports platform modernization. The role also includes coaching engineers, managing stakeholders, improving automation, and leading distributed teams.

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.

Leads multiple engineering squads supporting property lodgement and financial settlement services. Responsibilities include coaching engineers, partnering with Product and Design, translating priorities into engineering plans, managing delivery risks and dependencies, improving system reliability and quality, reducing technical debt, supporting regulatory commitments, and advancing technology modernization while maintaining business-critical platform stability.

Leads the growth, technical delivery, and management of dam infrastructure projects across Australia, New Zealand, and the Pacific. Responsibilities include dam surveillance, safety reviews, risk and dam-break assessments, water security studies, business development, proposal support, client relationship management, project delivery, and mentoring engineers. The role provides technical leadership across the full dam lifecycle and requires consulting experience, chartered engineering credentials, and strong water resources expertise.

Own Linktree’s production AI platform, including pipelines, model and prompt versioning, evaluations, monitoring, rollback, cost, latency, and reliability. Drive internal AI adoption through tooling, agent workflows, and enablement across Product, Engineering, Marketing, and Support. Establish practical governance for data handling and vendor risk, make build-versus-buy decisions, align AI investment with business priorities, and mentor engineers and analysts.

AECOM is building its Ground Engineering and Tunnelling team for major water and underground infrastructure projects across Australia and New Zealand. Opportunities span geotechnical engineering, tunnelling design, underground construction, project and design management, field engineering, construction support, quality assurance, risk, and technical leadership. Candidates may work across water, transport, energy, resources, and civil infrastructure programs, with flexible office and hybrid arrangements and pathways into technical, project, and people leadership.

Lead and grow an engineering team building enterprise identity graph and signals platforms. Define technical strategy, build cloud-native data pipelines, real-time signal generation, graph models, APIs, and secure scalable services. Partner with architects and security stakeholders to drive detection, risk analytics, automation, CI/CD, IaC, observability, and operational excellence.

Provides cross-team architectural direction for the data platform, shapes technical strategy, establishes engineering standards, oversees platform modernization, mentors engineers, and resolves complex cross-domain problems. The role partners with product and engineering leadership, leads technical discovery, represents the data platform in architecture forums, and evaluates emerging technologies including AI-augmented engineering. It is an individual contributor role with informal mentoring responsibilities.

Delivers quality engineering and testing solutions across traditional and agile environments. Works with increasing independence on small- to medium-complexity assignments, applies initiative to build practical quality experience, and seeks senior guidance when needed.

Own and evolve major areas of the data platform, ensuring reliability, quality, scalability, and cost efficiency. Lead Snowflake performance tuning, dbt model architecture, testing, and incremental strategies. Design fault-tolerant pipelines with strong observability and governance, resolve incidents, translate business needs into engineering solutions, and mentor team members. Evaluate AI tooling with attention to responsible use, reliability, privacy, and auditability.

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

Lead customer identity and access management strategy, architecture, engineering, and operations. Manage managers and multidisciplinary teams delivering authentication, authorization, federation, identity lifecycle, privacy, audit, and risk-based access capabilities. Establish security standards and architecture patterns, ensure resilient production identity services, drive platform modernization, and partner with business, technology, risk, privacy, and global stakeholders to advance enterprise security strategy.

A 12-week full-time software engineering internship building and testing video experiences for Clipchamp and Microsoft 365. Interns collaborate with engineers, product managers, and designers; solve technical problems involving web technology, AI, production infrastructure, reliability, observability, and performance; and apply software engineering practices to ship products at scale.

Designs, develops, executes, and maintains automated tests and frameworks. The role supports automation-first strategies, test planning, API and BDD testing, quality engineering innovation, and documentation. It requires coding expertise, familiarity with testing tools and frameworks, object-oriented programming, Git, Agile practices, and strong communication. Cloud and continuous integration or deployment experience are desirable.