Top Tech Jobs & Startup Jobs in Melbourne

Design, build, and maintain bank and card payment integrations and high-availability, high-concurrency payment processing modules (routing, clearing, reconciliation, settlement). Collaborate with product, risk, and compliance, participate in code reviews and system design, and optimize system performance and scalability.

Design, implement, and maintain large-scale infrastructure and configuration solutions. Automate CI/CD and operational workflows, manage deployments, enhance observability, troubleshoot production issues, recommend architectural improvements, and ensure system security.

Early-career QA role: develop and execute manual and automated tests, create test cases from business and technical designs, track defects to resolution, contribute to test automation and risk mitigation, and collaborate with the team to ensure timely delivery of high-quality products.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Lead end-to-end QA for backend platforms: investigate and reproduce issues, design and run exploratory/manual tests, build and maintain Python/Bash test automation, evaluate coverage gaps, and produce test plans, cases, reports, and summaries to ensure scalability, stability, and performance.

Design, build, and operate cloud-native backend services in Go for multiple platforms. Own microservice architecture, deployment, and support, interface with end-users and developers, and ensure scalable platform operation for millions of users.

Lead QA automation for Futures across web, desktop, and mobile: design and execute test plans, set up test environments, write automated tests, perform security and performance testing, root-cause analysis, and improve testing processes across the SDLC.

Lead a Data Analyst team to analyze PB-scale transactional and customer data, build algorithmic systems and visualizations, implement ML/LLM solutions for compliance use cases, support business stakeholders with data requests, and translate findings into actionable recommendations.

Design and build backend microservices for real-time fraud detection, transaction monitoring, and risk analysis. Integrate ML models and risk scoring engines, support scalable distributed systems, and leverage AI-assisted development and LLM/agent tools for risk automation.

Design and implement backend systems for a user-facing AI chat product. Collaborate with product, DevOps, and QA; drive best practices, conduct code reviews, and deliver high-quality microservices using cloud infrastructure and message brokers.