Top Software Engineer Jobs in Melbourne

Build and execute automated tests for enterprise web applications and APIs. Extend automation frameworks, develop configurable testing tools, simulate high transaction volumes, execute performance tests, document and verify defects, and collaborate with product engineers on testability. The role also involves analyzing technical solutions, researching testing technologies, supporting users, and preparing formal test plans, datasets, and configurations.

Leads engineering for AI platform services, designing scalable AI/ML systems, data assets, pipelines, backend integrations, and system architecture. Manages and develops engineers, matures ML-Ops practices, drives technical delivery against roadmaps, and collaborates with data scientists, product managers, business stakeholders, and partner teams. The role requires extensive backend software engineering, cloud, SQL, machine learning, technical leadership, delivery, and people management experience.

The Principal Software Engineer will lead mobile application development, bridge technical and product strategies, and ensure engineering excellence at Xero.

Architect and implement scalable data platform capabilities and enterprise MDM features (identity resolution, golden records, matching). Build APIs, batch/streaming pipelines, validation, lineage, observability, and CI/CD. Use AI-assisted development and build AI-enabled data quality and automation features. Mentor engineers and lead cross-team technical direction.

Build and operate secure, scalable full-stack digital lending products using TypeScript, React, Node.js, and GraphQL. Own end-to-end delivery from architecture and design through deployment and production operations. Develop cloud-native services, enhance automation with Generative and Agentic AI, establish observability and automated testing, and lead complex cross-team initiatives. Mentor engineers, influence technology direction, and deliver intuitive customer experiences within a FinTech environment.

Design and build scalable backend services for the Spend and Accounting Hub to track, reconcile and account for spend transactions. Own end-to-end feature delivery, ensure reliability, performance and compliance, contribute to long-term architecture, collaborate cross-functionally, and provide technical mentorship.

Lead development of internal AI-driven security tools and automation, support incident response with threat-hunting and remediation tooling, maintain Kubernetes/serverless infrastructure and large-scale log/ETL pipelines, identify automation opportunities with engineering teams, drive security outcomes (patching, gateways), and mentor junior engineers.

Lead design and build of internal AI tooling and automation to improve security operations. Develop ad-hoc incident response and threat-hunting tools, maintain Kubernetes, serverless, and ETL/data pipelines, and partner with product teams to automate patching and risk-mitigation services. Own large-scale log pipelines, mentor junior engineers, and deliver high-quality projects autonomously.

Owns end-to-end developer tooling and infrastructure solutions for large-scale engineering teams. Builds self-service platforms, CLIs, automation, CI/CD systems, build and test infrastructure, release tooling, monitoring, and developer workflows for Python and Java engineers. Partners with backend, platform, and infrastructure teams, uses telemetry to prioritize improvements, and contributes through documentation, technical talks, and mentorship.

Lead the design, development, deployment, and operation of scalable AI/ML products and platforms. Own the full machine learning lifecycle, including experimentation, evaluation, inference, monitoring, and optimization. Develop LLM, retrieval, ranking, relevance, and generative AI solutions using Python, AWS, SQL, Airflow, Kafka, and BigQuery. Set technical direction, establish evaluation frameworks, improve engineering practices, mentor engineers, and promote reliable, ethical, and compliant AI/ML delivery.

Own backend-heavy full-stack product surfaces from architecture through production operations. Responsibilities include building AI-powered answer experiences, identity and billing systems, public APIs, integrations, and workflow tools. The role requires partnering with product, making technical trade-offs, operating services, monitoring performance, responding to incidents, and continuously improving systems used by tax and law firms.

Design, build, test, deploy, and monitor reliable AI/ML products and services at scale. Develop real-time and batch data pipelines, optimize ranking and retrieval models using embeddings, transformers, and LLMs, and establish evaluation, observability, and model lifecycle management practices. Collaborate across product, engineering, data, and consumer experience teams while contributing to scalable ML platform capabilities.

Lead and deliver impactful mobile workflows for the Xero Accounting App while ensuring system health and efficiency through continuous improvement and automation practices.

Provide technical leadership for Canva’s experimentation platform, designing reliable backend and distributed systems for experiment setup, user targeting, variants, measurement, guardrails, and progressive rollouts. Lead ambiguous technical initiatives, drive adoption across engineering teams, and collaborate with senior technical and data science leaders. Help evolve automated experimentation analysis and alerting using data systems, experimentation principles, and AI-enabled capabilities.

Develop high-quality, resilient software across Ubuntu and the open source stack, from Linux systems and firmware to cloud, containers, and desktop applications. Contribute to product roadmaps, user experience, code reviews, issue resolution, security, and enterprise requirements. Collaborate remotely with global engineering teams and the open source community, while building expertise in programming languages and Linux systems. Attend international company sprints twice yearly.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Join Supabase as a Software Engineer to own the Terraform provider, improving reliability, driving technical strategy, and creating documentation for seamless IaC workflows.

Design, develop, and maintain scalable web applications using .NET backend and Angular/React frontend. Collaborate on requirements, implement RESTful APIs, optimize performance, debug, maintain documentation, support end-users, and work within CI/CD and DevOps workflows.

Design, develop, customize and integrate Microsoft Dynamics 365 CRM/CE solutions. Build entities, forms, workflows, plugins, reports and dashboards using CRM SDK, C#, JavaScript, ASP.NET and SQL. Troubleshoot issues, estimate implementation approaches, collaborate with stakeholders, document solutions, and mentor junior developers. Banking domain experience preferred.

As a Software Engineer, you'll architect and scale new features, improve databases and APIs, and take ownership of the development lifecycle, enhancing Kogan.com's digital platforms.

Manage ERP integrations, troubleshoot issues, optimize C# and SQL Server performance, ensure system availability, and automate business processes.

Leads a software development team through the full product lifecycle, including user research, product strategy, roadmap planning, application development, testing, code reviews, documentation, team performance management, budgeting, partnerships, and user support. The role also manages Agile processes, reports metrics, develops funding proposals, and participates in conferences and periodic travel.

As a Software Engineer in Sustaining Engineering, you will resolve complex issues related to Ubuntu and open-source software, engage with upstream communities, and develop bug fixes while maintaining close collaboration with support and product teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The software engineer will develop and operate backend services for Snap Store and Charmhub.io, focusing on clean APIs and feature implementation.