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.

Provides administrative support to project teams, including project setup, document control, communications, deliverable tracking, procurement, logistics, inventory traceability, shipment coordination, and invoicing. Maintains accurate project records and ensures documentation, billing inputs, customer portal submissions, and stakeholder responses are properly managed. Requires strong organization, communication, attention to detail, and proficiency with Microsoft Office. Experience with Deltek Vantagepoint or ERP software is preferred.

Coordinates multidisciplinary digital engineering and BIM activities for large infrastructure projects. Responsibilities include model reviews, clash detection, issue resolution, CAD and digital model compliance, CDE workflows, information management, asset data validation, project reporting, quality assurance, and digital deliverable handover.

Lead Engineering Managers and multiple software engineering teams, shaping technology strategy, roadmaps, engineering practices, and delivery outcomes. Partner with Product and senior stakeholders to balance customer needs, quality, technical debt, cloud costs, and sustainability. Champion continuous delivery, automated testing, security, observability, AI adoption, and automation while measuring engineering improvements through outcome-focused metrics in a Microsoft-focused technology environment.

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.

Leads Splunk’s APJC Partner Solutions Engineering organization, including PSE and PSA teams. Defines partner technical strategy, builds executive relationships, expands partner-led routes to market, and scales repeatable architectures, practices, and enablement. Oversees technical sales support for strategic opportunities, aligns Sales, Engineering, Customer Experience, Marketing, and partner teams, and drives partner capability, pipeline, revenue influence, talent development, and organizational performance across Asia, Japan, Australia, and New Zealand.

Coordinate digital engineering/BIM deliverables for large infrastructure and building projects, ensuring model quality, compliance with ISO19650/PAS1192/BS1192, asset information accuracy, and timely design review collaboration with design, survey and contractor teams.

Lead engineering delivery and people leadership across a 40–50-person organization through 5–7 Development Managers. Own delivery performance, capacity planning, operating models, engineering metrics, hiring, organizational design, career pathways, retention, quality, reliability, security, and technical execution. Partner closely with Product, Technology, People & Culture, and executive leadership to align engineering capacity with roadmap priorities and ensure predictable, scalable delivery across a product-led SaaS environment.

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.

Join Service Stream’s two-year Ignite Graduate Program as an Electrical Engineering Graduate supporting power projects across Victoria, including remote locations. The program includes job rotations, formal learning, mentoring, networking, site visits, professional membership, and a pathway to permanent employment. Applicants must have completed or be completing a three-year engineering degree, be available full-time from February 2027, hold Australian or New Zealand citizenship or permanent residency, and have a current Australian driver’s licence.

Own and evolve major areas of the data platform, ensuring reliability, quality, scalability, and cost efficiency. Lead Snowflake performance optimization, dbt modeling standards, pipeline architecture, observability, incident resolution, and governance. Partner with product, commercial, and analytics stakeholders to translate requirements into solutions. Mentor engineers, improve team capability, and evaluate responsible AI tooling for data engineering workflows.

Provides cross-team architectural direction for the data platform, shapes technical strategy, establishes engineering standards, oversees major modernization initiatives, mentors engineers, evaluates emerging tools, and resolves complex cross-domain technical challenges. Requires deep expertise across Snowflake, dbt Cloud, Python, RabbitMQ, PostgreSQL, and AWS, plus strong stakeholder communication and architectural leadership.

Leads engineering execution for Machines4U, including product development, platform reliability, delivery cadence, technical roadmaps, modernization, integrations, security, and compliance. Manages a distributed engineering team, partners with product and group engineering stakeholders, guides architecture and technical trade-offs, and communicates engineering risks, capacity, and priorities to senior leadership.

Lead a multidisciplinary digital engineering squad delivering customer-facing mobile, web, API, and backend experiences. Set technical direction, guide architecture, stay hands-on, and oversee secure, resilient production delivery. Coach engineers, manage performance conversations, improve testing and CI/CD, and promote observability and operational ownership. Partner with Product and Design to measure customer outcomes and lead responsible AI adoption across engineering workflows.

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.

Leads an operations engineering team supporting mission-critical public safety communication systems for government and enterprise clients. Oversees system architecture, technical escalations, operational health, asset lifecycles, ITIL processes, documentation, service performance, security coordination, and major incident management. Provides mentorship, develops team capabilities, drives continual improvement, and collaborates with customers, vendors, and cross-functional teams. Requires substantial ASTRO P25 and LMR expertise, engineering leadership experience, and telecommunications or electrical engineering qualifications.

Leads multiple teams delivering scalable, reliable software, data, and AI/ML systems. Oversees architecture, development, DevOps, deployment, monitoring, cloud cost optimization, and operational efficiency. Translates strategy into technology roadmaps, manages cross-functional dependencies, and ensures execution against business priorities. Builds high-performing engineering teams through mentorship, succession planning, and continuous improvement while advancing AI platforms and intelligent automation.

Perform manual and functional testing across SAP Procurement and Sales systems during SIT and UAT. Create and execute test cases, coordinate UAT with business stakeholders, manage defects, validate requirements, and collaborate with offshore delivery teams in an enterprise environment.

Leads the transformation of an L2 support organization into an engineering-led SRE function. Defines reliability standards for observability, SLOs, SLAs, incident management, alerting, and production readiness. Drives AI-assisted automation, self-service, toil reduction, and operational excellence while partnering with engineering and product teams to improve system reliability. Builds and develops a high-performing SRE organization, establishes operational KPIs, and advances platform resilience, scalability, and customer experience.

Provides Level 3 technical support for complex CRIMS issues, leading Sev1 incidents, advanced troubleshooting, root-cause analysis, defect reproduction, workaround design, and engineering escalations. Analyzes logs, database state, configuration, integrations, and performance; creates Jira defects, supports hotfixes, develops runbooks, defines monitoring controls, and improves operational readiness. The role requires financial-services technology experience, strong SQL and scripting skills, and periodic off-hours support.

Provide Level 3 technical support for complex CRIMS issues, leading critical incident response, troubleshooting logs and databases, root-cause analysis, defect reproduction, workaround design, and engineering escalations. Create evidence packs, Jira defects, runbooks, monitoring requirements, and operational controls while supporting hotfixes and new-product readiness. The role requires strong SQL, application support experience, financial-services knowledge, communication skills, and periodic off-hours support.

The Staff Engineer leads analog and mixed-signal block design, conducts design reviews, mentors junior engineers, and develops methodologies for advanced technology applications.

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.