Top Engineering Jobs in Sydney

The Application Engineer will develop expertise in power systems and SEL products, assist customers through various support methods, contribute to product specifications, and teach training courses.

Lead and grow engineering teams and managers, partner with Product and Design to deliver roadmap, remove technical blockers, drive AI adoption, improve SDLC and hiring, and ensure architecture and solutions align with customer and commercial goals.

Lead a small engineering team to design, build, deploy and operate scalable, reliable systems that ingest AI chatbot sentiment and integrate with existing brand-tracking data. Coach and manage senior engineers, collaborate with product and design, run experiments, and focus on commercial outcomes and discovery.

As Director of Engineering, lead global teams to build high-performance systems, drive technical vision, enhance engineering standards, and cultivate a culture of ownership and excellence.

Lead a team of engineers at Relevance AI, focusing on AI systems development, team performance, and technical leadership, while collaborating with cross-functional teams.

Lead and grow systems engineering and safety assurance capability for complex rail and metro programs. Provide technical leadership, develop safety assurance strategies, produce safety cases and hazard logs, conduct RAM and safety analyses, manage hazard workshops (HAZID/HAZOP/FTA/FMECA), advise clients and regulators, mentor staff, and support business growth and pursuits.

Lead hiring for software engineering roles, source talent, assess candidates, and improve recruiting processes while partnering with leadership.

As a Software Engineering Intern, you will own and ship a project, receive mentorship, and collaborate with a global team on innovative technology solutions.

Lead and scale a Forward Deployed Engineering team in NSW to deliver large-scale data migrations, lakehouse modernisation, MLOps, generative AI and enterprise AI solutions. Drive delivery governance, billable utilization, hiring, executive escalation, stakeholder engagement, and mentor technical talent to ensure high-quality, measurable business impact.

The Head of Engineering role involves overseeing the growth of a development team, contributing to coding, and enhancing engineering practices while ensuring operational excellence and team culture.

Lead engineering execution for Machines4U: translate business priorities into an engineering roadmap, manage a distributed team, modernise legacy systems, oversee integrations, ensure security, reliability and compliance, and partner with product and group engineering.

Lead and develop a QA & Test team to design and execute functional and non-functional test strategies, drive automation and AI-focused improvements, oversee test deliverables, and foster team development and quality processes across the FirstChoice platform.

Lead a team of cloud engineers to design, implement, secure, and optimize cloud-native landing zones on Azure and GCP. Own IaC (Terraform/Ansible), container orchestration (Kubernetes/Docker), CI/CD, monitoring, cost and security optimization, cross-functional integration, documentation, and mentoring.

Lead the Payments engineering squad to build and scale money-movement systems. Own payment processing, banking integrations, reconciliation, fraud controls and operational tooling. Drive architecture, reliability, observability, incident management, and cross-functional collaboration with Product, Operations, Finance, Risk and Compliance. Hire, mentor and grow engineers while shaping technical direction and platform standards to support growth and high availability.

Lead and mentor a team of engineers in product development, focusing on automation and build systems for MMO games while collaborating across disciplines.

The Engineering Manager for Developer Experience will lead a team to improve development tools and processes, enhance the developer experience, and manage internal platforms, while embodying a customer-oriented mindset.

Lead and mentor a team of engineers to develop AI-driven platforms, architect solutions utilizing LLMs and Deep Learning, and ensure a scalable AI infrastructure.

Design and optimize multimodal AI systems integrating vision and audio models. Improve voice-to-voice streaming latency, embed vision encoders and audio-native models into agent reasoning, and architect multimodal RAG systems for retrieving insights from videos and PDFs.

Lead and manage SRE/DevOps teams to improve reliability, incident response, scalability, and security of a cloud-native infrastructure. Develop reliability roadmaps, collaborate cross-functionally on cloud strategies, and implement proactive measures to minimize downtime and optimize performance.

Design and implement multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows.

Optimize and compress large language and vision models for on-device inference. Develop distillation and hardware-specific compilation pipelines, deploy models to edge devices, and benchmark performance across NPU/GPU architectures to ensure efficient on-device operation.

Perform adversarial testing and red-teaming on large language and multimodal models, implement runtime guardrails and filtering, and help develop constitutional AI principles and RLHF alignment pipelines to ensure safe AI deployment.

Lead and grow an engineering team, partnering with Product and Design to define roadmaps and deliver features with high-quality execution.

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Lead platform engineering for consumer web and mobile experiences, set technology vision and standards, own frontend architecture, component library, observability and performance, drive AI/LLM integration, govern vendor delivery, and grow a lean senior engineering team to deliver fast, accessible, and scalable DTC digital experiences.