Top Software Engineer Jobs in Sydney

Build and maintain trading applications, risk tools, data platforms, dashboards, and workflow automation for APAC trading desks. Collaborate with traders and global engineering teams to deliver production-grade solutions, translate business needs into technical systems, and support applications during APAC market hours. The role involves data-intensive systems, operational workflows, production troubleshooting, and end-to-end feature ownership in a regulated trading environment.

Build backend services and financial workflows connecting cash, yield, lending, payments, card spending, and collections. Develop reliable infrastructure, reconciliation controls, ledgers, APIs, integrations, automated tests, observability, and production services. Collaborate with product, infrastructure, design, and engineering teams to deliver scalable, maintainable financial systems from design through production. The role is based in Sydney and involves shaping the technical foundations of a new business accounts platform.

Develop and launch large, complex software projects, making architectural decisions and addressing high-risk technical challenges. Lead code reviews, documentation, bug fixes, and company-wide engineering initiatives. Collaborate across teams, mentor junior engineers, and apply expertise in one or more programming languages while developing Java proficiency. The role emphasizes autonomy, customer impact, continuous learning, and technical leadership.

Lead complex backend engineering initiatives from technical design through launch. Design architectures, deliver solutions used across teams and products, resolve high-risk issues, establish code review and documentation standards, and influence company-wide technical decisions. Mentor engineers, evaluate performance and reliability trade-offs, and contribute to developer experience and productivity using modern cloud platforms, multiple programming languages, and CI/CD practices.

Build backend systems for Airwallex’s Business Accounts and Yield products. Own investment workflows including signup, investment, and redemption, while developing reconciliation controls, unit registries, and investment ledgers. Shape distributed-systems architecture, APIs, integrations, observability, and automated testing. Collaborate with Product, Infrastructure, Design, and external investment providers to deliver reliable financial infrastructure. This role is based in the Sydney office three days per week.

Develop backend processes, RESTful APIs, and web applications using PHP or related languages. Research technologies, engineer complete solutions, optimize performance and scalability, integrate projects into the application, and improve systems and development processes.

Build and ship full-stack features for the Learning Portal (Next.js UI, Go services, Supabase edge functions). Design scalable systems and infrastructure (IaC with SST/Pulumi, AWS, Vercel), implement testing (Vitest/Jest, Cypress/Playwright), perform PR reviews, maintain docs, run CI/CD, and be on-call to ensure reliable student-facing experiences.

Build and ship AI-first customer support software from concept to production. Own complex engineering problems across UI/UX, product capabilities, and data models while working closely with coding agents. Develop tooling and feedback systems that improve agent effectiveness, apply sound engineering judgment, and contribute to a fast-moving startup environment.

Develops end-to-end full-stack features for the Customer Experience team. Owns complex frontend and backend initiatives, shapes service architecture, establishes engineering standards, improves reliability and efficiency, and collaborates with product, business, and customer stakeholders. Requires strong TypeScript, React, Node.js or NestJS, web architecture, API, database, microservices, DevOps, and cloud deployment expertise.

Develop backend processes, RESTful APIs, and web applications using PHP or similar languages. Research technologies, design complete solutions, optimize performance and scalability, integrate projects into the application, and improve engineering systems and processes. Collaborate with JavaScript developers and UI designers while contributing technical leadership and maintaining a service-oriented team culture.

Build and own the cloud and edge platform connecting autonomous drones, docks, and customers. Responsibilities include AWS infrastructure as code, backend and desktop applications, offline-first synchronization, OTA fleet updates, CI/CD, monitoring, alerting, video streaming, and reliable networking across remote cattle stations. The role is hands-on, Sydney-based five days per week, with regular domestic and potentially international field deployments.

Design, develop, deploy, and support AI-powered applications and services using generative AI, machine learning, cloud platforms, APIs, and data pipelines. Translate business needs into scalable architectures, optimize AI systems, troubleshoot performance issues, and incorporate security, privacy, governance, and responsible AI practices. Collaborate with technical and business stakeholders, evaluate emerging technologies, contribute to standards, and mentor team members.

Build and maintain cloud-native applications and services supporting data, analytics, and AI solutions. Develop scalable software using modern engineering practices, deployment pipelines, and cloud platforms. Collaborate with data engineers and data scientists to deliver reliable, observable, production-ready products. Contribute to architecture decisions, integrations, platform engineering, monitoring, performance optimization, and ongoing operations across dentsu and client cloud environments.

Build and maintain cloud-native applications and services supporting data, analytics, and AI solutions. Develop scalable software using modern engineering practices, deployment pipelines, and cloud platforms. Collaborate with data engineers and scientists to deliver reliable, observable, production-ready systems. Contribute to architecture decisions, integrations, security, cost optimization, monitoring, and performance improvements across development and production environments.

Build, test, and maintain backend services and APIs supporting Megaport’s global connectivity platform. Work with Java, Kotlin, Spring Boot, databases, messaging, caching, Kubernetes, and AWS. Translate business requirements into reliable technical solutions, collaborate with engineering and product stakeholders, participate in code reviews and mentoring, and improve architecture, processes, and technical debt.

Leads end-to-end delivery of scalable software features and models, including design, development, testing, debugging, code reviews, CI/CD, and production support. Integrates AI/ML components, translates business needs into technical requirements, monitors performance, and promotes secure, maintainable engineering practices. The role also involves stakeholder collaboration, mentoring, and contributing to technical strategy and continuous improvement across Walmart’s AdTech platform.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Applies cloud-native architecture, manages the full software lifecycle, conducts design reviews, builds AI-driven applications, and ensures reliable production systems. The role mentors engineers, influences architecture, collaborates with stakeholders, and drives continuous improvement through innovation, automation, and engineering best practices.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Leads end-to-end software development for Walmart Ads’ Unified Recommendations Platform, including system design, coding, testing, deployment, monitoring, and maintenance. Builds scalable cloud-native distributed systems, integrates AI/ML capabilities, conducts design reviews, and drives technical execution. Mentors engineers, collaborates with stakeholders, defines success metrics, and improves engineering processes, tooling, and products.

Designs, develops, tests, deploys, and maintains secure, scalable GIS software applications across digital platforms. Translates business requirements into technical solutions, collaborates with stakeholders, supports releases, identifies delivery and quality risks, documents systems, and contributes to integration and architecture. The role requires hands-on GEV SmallWorld and GSS coding, full-stack development experience, modern web technologies, CI/CD with Kubernetes and Jenkins, and Scrum experience.

Build full-stack features, APIs, backend services, and frontend experiences for an AI legal risk management platform. Develop and structure risk insights delivered through MCP, integrate with LEAP’s AI ecosystem, and prototype LLM-powered capabilities. Contribute to architecture, reliability, observability, performance, and end-to-end feature delivery while collaborating closely with a startup-style team.

Build and scale an enterprise AI Workspace through responsive React applications, Node.js and Python backend services, Azure deployment, enterprise authentication, AI integrations, and secure CI/CD practices. Create Power BI dashboards, data models, DAX measures, and Power Query transformations, while integrating reports with enterprise applications. Collaborate in Agile, DevOps-oriented global teams to deliver scalable, maintainable software and actionable business intelligence.

Build scalable backend and frontend services for MongoDB’s application modernization platform. Develop APIs, data pipelines, code analysis tools, dependency graphs, and schema recommendation features. Collaborate with product, engineering, and design teams; contribute to architecture, testing, CI/CD, code reviews, troubleshooting, and technical documentation. Senior engineers will mentor teammates, lead complex feature design, and support recruiting and interviewing.

Lead design and delivery of scalable, cloud-native platform capabilities and ML-integrated applications. Oversee full SDLC, architecture, reliability, CI/CD, observability, and incident response. Provide technical leadership, mentor engineers, collaborate with stakeholders, and drive continuous improvement to support high-availability distributed fulfillment systems.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.