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.

Develop and maintain high-fidelity detections across identity, endpoint, SIEM, and operating-system environments. Conduct hypothesis-driven threat hunts across large-scale telemetry, translate threat intelligence and investigations into detection rules, tune detection efficacy, investigate ambiguous attacker activity, and escalate likely intrusions with clear incident reports. The role also involves building hunting queries and dashboards, contributing to security content, and validating AI-assisted analysis and detection workflows.

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.

Execute and manage software testing, define and review technical requirements, support system integration and performance quality, manage defects, perform root cause analysis, and collaborate with cloud operations teams on infrastructure capacity, KPIs, reliability, and continuous improvement.

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.

Lead the creation of REA’s residential machine learning capability, managing a distributed team across multiple product tribes. Set technical direction, engineering standards, delivery practices, and team ways of working. Provide guidance on ML, data science, data engineering, architecture, evaluation, governance, and operational excellence. Partner with product, design, and AI teams to deliver pragmatic AI/ML products using NLP, LLMs, semantic search, and related technologies.

Designs and implements Azure cloud infrastructure, governance, compliance automation, and DevOps solutions. Responsibilities include PowerShell DSC configuration, Azure Policy enforcement, Terraform modules, Azure DevOps CI/CD pipelines, monitoring, observability, testing, technical design, documentation, and knowledge transfer. Provides technical leadership, establishes engineering standards and IaC patterns, collaborates with architects and delivery teams, and ensures cloud platforms meet security, resilience, reliability, and operational requirements.

Academic faculty member responsible for teaching, research, industry engagement, and academic leadership in communication and network engineering. The role covers telecommunications systems, network security, wireless and space communications, 6G, software-defined radios, RF systems, signal processing, embedded systems, and research testbeds. Responsibilities include course coordination, curriculum development, research leadership, external funding, higher-degree supervision, collaboration building, academic governance, and strategic leadership. Appointment may be at Academic Level C, D, or E based on achievements and experience.

Leads multiple software engineering squads building highly scalable crypto and fiat payment, wallet, and transaction-processing systems. Responsibilities include setting technical and strategic direction, mentoring engineers and tech leads, reviewing designs and code, supporting critical incidents, improving delivery practices, and ensuring reliability and operational excellence across large-scale production platforms.

Lead a squad of 3–5 engineers while remaining hands-on with full-stack development, architecture, coding, code reviews, reliability, and production delivery. Partner with Product and Design to build secure, scalable home lending platforms. Own the software lifecycle, promote CI/CD, DevOps, observability, automated testing, AI-assisted development, and continuous improvement. Influence engineering strategy, technical standards, platform sustainability, and capability uplift across the broader engineering organization.

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.

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.

Associate software developer who will train and join a specialized software team, contributing to design, development, testing, debugging, deployment, and maintenance of software applications. The role involves collaboration across hardware, embedded software, integration, algorithms, and AI/ML teams; completing assigned work; and documenting technical work and learnings.

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.

Work with a small engineering team to write, test, and ship production-ready code across front-end and back-end (React, Node.js). Collaborate with stakeholders, support QA, customer onboarding and deployments, learn from the Lead Engineer, and contribute to product features with autonomy in a hybrid startup environment.

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.

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.