Top Technology Jobs & Startup Jobs in Sydney

Join the Trading Engine team to develop and maintain client-facing open-source libraries, act as an SME for REST and WebSocket trading APIs, and work directly with large clients to design and optimize trading algorithms and integrations.

Review AI-escalated risk cases (KYC, ATO, 2FA, withdrawals), make pass/block/escalate decisions, label outcomes with root-cause annotations to train ROCA, maintain SLAs and accuracy, update SOPs, and support model calibration and BPO onboarding.

Lead events and community growth in Australia by planning and executing end-to-end events and experiential campaigns, building local online/offline communities, managing micro-KOLs and local channels, ensuring regulatory compliance, partnering with universities and local groups, driving trust-focused messaging, tracking event and community KPIs, and optimizing programs based on performance.

Design and develop high-performance backend services for an AI-powered trading assistant: build AI agent execution, trading order execution, AI sub-account and API key lifecycle management, integrate Binance trading APIs, implement skills/tool-calling frameworks, and ensure scalable, low-latency real-time data pipelines, observability, and security.

Responsible for functional and API testing of platform products, designing and executing end-to-end tests across frontend, backend, strategy, and algorithms. Validate personalized user experiences, improve test coverage and QA processes, and drive adoption of AI-assisted test generation and automation. Collaborate with Product, Engineering, Algorithm, and Strategy teams to identify issues and ensure quality.

Deploy, configure, and maintain blockchain networks and cloud infrastructure on AWS. Administer and scale Kubernetes (EKS) clusters, build CI/CD pipelines (GitHub Actions, ArgoCD, AWS CodeBuild), and automate provisioning with Terraform and Helm. Monitor system performance and tune infrastructure. Coordinate with international partners (requires English/Mandarin).

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Develop and optimize marketing-focused algorithmic models (CTR/CVR, LTV, attribution, uplift), design lifecycle strategies for acquisition/retention, validate via A/B testing and causal inference, and collaborate with data/product/operations to deploy models into marketing systems to drive growth.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.