Top Technology Jobs & Startup Jobs in Sydney

Gather and document business and technical requirements for payment systems and transformation projects. Analyze end-to-end payment flows, including authorization, clearing, settlement, and reconciliation. Create requirements documents, user stories, process flows, specifications, and acceptance criteria. Support API integrations, data mapping, testing, implementation, issue resolution, and stakeholder collaboration across business and technical teams.

Leads end-to-end IBM ECM and FileNet solution architecture initiatives, including platform design, modernization, migration, cloud transformation, and enterprise integrations. Conducts architecture workshops, supports proposals and estimates, governs delivery risks, collaborates with enterprise and business stakeholders, and mentors delivery teams. Requires extensive IBM ECM/FileNet expertise, Java/J2EE integration knowledge, strong stakeholder engagement, and familiarity with Agile and Waterfall methodologies.

Lead the end-to-end migration of an internal platform from RKE to OpenShift, including architecture, deployment, testing, productization, monitoring, alerting, and operational handover. Configure the OpenShift environment, ensure platform parity and improvements, integrate with Apigee, create support runbooks, onboard L1/L2 teams, and coordinate cross-functional stakeholders. The role requires strong OpenShift and RKE expertise, infrastructure migration experience, operationalization knowledge, and independent technical ownership.

Leads multiple digital projects and programs, mentoring project managers and managing teams of up to 30 people. Oversees business cases, budgets, resources, vendors, risks, issues, stakeholders, schedules, quality, benefits, and project-board reporting. Requires extensive Maximo experience, ideally including an upgrade from Maximo 7.6 to MAS 9.x, along with Prince2 delivery methodology and business case writing.

Designs and executes manual test collateral across integration, API, backend, and GUI levels. Performs API testing with Postman, manages tests and defects in Tricentis qTest, supports integration and contract testing, and reports quality metrics. Collaborates with technical and business teams while following government standards, governance, and audit requirements.

Manage Red Hat 7/8 environments and onboard API Gateway services in Apigee. Responsibilities include API key and developer management, firewall requests, static route implementation, platform maintenance, design documentation, Ansible script development, and end-to-end change management with MOP preparation and approvals.

Designs enterprise AI solutions using machine learning, NLP, deep learning, generative AI, LLMs, RAG, and agentic frameworks. Builds scalable architectures involving cloud platforms, microservices, APIs, distributed systems, data platforms, MLOps, LLMOps, CI/CD, Docker, and Kubernetes. Translates business needs into optimized AI systems while managing stakeholder communication, cost, risk, and performance.

Configure and adapt front-office Murex or Calypso solutions for market risk environments, developing solutions across the FIS market risk engine and ActiveViam limits platform. Analyze complex technology landscapes, conduct impact assessments, address end-to-end business and technical challenges, and partner with senior stakeholders across business, risk, and technology functions. Apply knowledge of VaR, sensitivities, stress testing, limits management, market data, and regulatory requirements.

Provide AI consulting and engineering expertise focused on generative AI, LLMs, prompt engineering, embeddings, and RAG pipelines. Build solutions using Python, ML frameworks, cloud AI platforms, vector databases, and orchestration tools. Apply MLOps, data engineering, and model lifecycle practices while translating complex AI concepts into business outcomes. Collaborate with senior stakeholders and architecture teams in agile environments.

Design, develop, test, deploy, and monitor production web and mobile applications using React and React Native. Apply AI-enabled practices across the SDLC, including requirements, coding, testing, code review, CI/CD, monitoring, and incident triage. Own features end-to-end, contribute to scalable architecture, optimize performance and accessibility, evaluate AI tools, improve engineering workflows, and mentor junior engineers.