Top Technology Jobs & Startup Jobs in Sydney

Design, develop, deploy, monitor, and support cloud-based integration solutions using Azure Integration Services and Boomi or MuleSoft. Implement API-led, messaging-based, and event-driven integrations; contribute to platform configuration, optimization, testing, automation, documentation, and production support. Collaborate with architects, delivery teams, and clients in Agile environments while supporting modernization and AI-assisted integration initiatives.

Own ontology and semantic strategy across enterprise data and AI engagements. Design, develop, govern, and assure ontologies, taxonomies, semantic models, and knowledge graphs using RDF/OWL, SHACL, SPARQL, and property graph platforms. Establish modelling standards, versioning, and curation workflows; enable entity resolution, semantic search, and ontology-powered RAG. Collaborate with architects, AI engineers, business SMEs, and domain experts to formalize business concepts and ensure semantic layers reliably support AI and data products.

Design, build, and maintain secure AWS cloud platforms and infrastructure. Develop CI/CD pipelines, automate provisioning and configuration, deploy containerized applications with Kubernetes, Docker, and OpenShift, and implement monitoring and logging with ELK. Troubleshoot production incidents, improve reliability and security, document procedures, and provide managed-services support through shifts, on-call coverage, and after-hours deployments.

Lead cloud FinOps initiatives covering cost transparency, financial reporting, governance, dashboards, service catalogues, and optimization. Partner with cloud engineering, finance, and business stakeholders across AWS and Azure environments, using ServiceNow and enterprise reporting platforms to translate cloud consumption and financial data into actionable recommendations. The role requires on-site work in Sydney and an Australian citizenship with active security clearance.

The role involves delivering Data & AI solutions in marketing, leading client engagements, and developing strategies to enhance customer insights and experiences.

Administer, design, optimize, and troubleshoot enterprise Elastic Stack environments across production and non-production systems. Build observability, logging, monitoring, alerting, and reporting solutions; lead platform upgrades and migrations; tune performance; resolve incidents; and collaborate with engineering, operations, and platform teams. The role supports managed services and may require shift work, on-call coverage, and after-hours deployments.