Top Software Engineer Jobs in Melbourne

Design, implement, test and deploy cloud-based data products and services. Maintain and modernise systems, ensure reliability, security and scalability, build ETL/data pipelines, tune performance, and support production environments.

The Senior Software Engineer will engage in coding, testing, and debugging, lead projects, mentor junior engineers, and innovate within teams to improve software solutions while collaborating with stakeholders.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Design, build, and deploy backend systems that optimize renewable and battery storage operations. Integrate real-time data, machine learning, and optimization models. Own architecture, implementation, testing, and maintenance; ensure scalable, reliable production performance. Diagnose bottlenecks, resolve real-time issues, and improve monitoring and alerting while collaborating with engineers, data scientists, and energy market experts.

The Senior Software Engineer will lead technical efforts in the Engagement team, focusing on complex system design, hands-on coding, mentoring, and collaborating across teams to deliver scalable software solutions.

Execute scheduled, ad hoc, and release-milestone software tests; review test cases; report defects in issue-tracking systems; communicate status in standups; and collaborate with software test managers and development teams. The role requires knowledge of QA methodologies, black-box, grey-box, and white-box testing, strong communication and organization, independent and team-based work, and participation in planning and professional meetings.

Build AI-powered client products from discovery through production using full-stack engineering, AI coding tools, prompt and context engineering, and critical validation of generated outputs. Develop frontend and backend features, support testing, QA, DevOps, and CI/CD, while collaborating directly with client engineering, product, and domain teams. Translate ambiguous business needs into production-ready systems, communicate clearly with stakeholders, and contribute to consulting engagements in a hybrid Sydney-based environment.

As an Applied AI Engineer, you'll build AI agents and experiences from concept to production, collaborating across teams and optimizing systems for usability and quality.

Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.

Design, build, and maintain production-grade microservices and web applications to power personalization and recommendations. Implement model-serving and inference integrations, ensure resiliency, observability, and low-latency performance, work with event-driven and caching patterns, collaborate with AI/ML and data teams, drive technical designs, mentor engineers, and operationalize services for production readiness.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Build and maintain resilient, secure, cost-efficient cloud backend services for conversational search and content intelligence. Design distributed, event-driven systems, embed DevSecOps, maintain CI/CD and IaC, optimize AWS spend, integrate generative AI/RAG safely, mentor peers, and collaborate with product and design to deliver scalable production services in Node.js/TypeScript on AWS.

Senior forward-deployed engineer who leads end-to-end delivery of AI-first, full-stack solutions for enterprise clients. Own discovery through production, embed with client teams, apply Gen-e2 AI-native engineering practices, use LLMs and AI coding tools daily, and modernize .NET applications while ensuring architecture, adoption, and measurable impact.

Design, prototype, and implement scalable 3D CAD/CAM software and algorithms for medical device mass production. Collaborate across manufacturing, product, and QA teams to define requirements, draft architecture, optimize processes (including 3D printing and laser workflows), and mentor junior engineers throughout the full software lifecycle.

Lead architecture and technical strategy for a data interoperability connector platform and SDK. Write production code, drive cross-team technical decisions, improve developer productivity, ensure reliability, lead incidents, act as Product Owner when needed, and mentor technical leaders across the domain.

Full‑stack senior engineer working on backend and frontend features for a SaaS safety platform. Develop and maintain APIs, microservices, containerised deployments, UIs, observability, and AI-powered product features. Troubleshoot production issues, adopt AI-assisted engineering tools, collaborate cross-functionally, mentor teammates, and drive DevOps and agile practices.

Design, build, and operate scalable, highly available Threat Protection and ShadowAI services. Own features end-to-end, implement detections and policies for generative AI and web threats, maintain tests and SLOs, use AI-assisted tooling responsibly, and collaborate with product, security, and ops to deliver reliable, secure production services.

Optimize Ubuntu integration across latest IoT and server-class hardware, lead customer engagements, and work with open source communities in a remote, collaborative environment.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Design, build, deploy, and operate backend features and services in a cloud environment. Ensure scalability, reliability, and performance, collaborate cross-functionally, use AI-assisted development tools, and reduce production incidents while meeting sprint and roadmap commitments.

Design, implement, and maintain core Web3 protocol features and secure Solidity smart contracts. Integrate blockchain solutions, ensure scalability and performance, conduct code reviews, and mentor junior developers.

Design, optimize and maintain the exchange's low-latency matching and risk engines. Build and scale trading gateway connectivity, improve throughput/latency, support REST/WebSocket client integrations, debug complex issues, write thorough unit and integration tests, and collaborate with Quant, Gateway, and Product teams to enhance blockchain signature SDKs.