Top Technology Jobs & Startup Jobs in Sydney

Own production support for risk, treasury, and post-trade platforms across APAC. Investigate incidents, identify root causes, implement fixes, communicate with stakeholders, automate workflows, improve monitoring and diagnostics, and operate large-scale production infrastructure. The role also involves capacity planning, deployment management, Linux troubleshooting, SQL analysis, Python scripting, and extending AI-assisted operational tooling.

Monitor and optimize data pipeline reliability, performance, and SLA compliance. Design data quality tests, investigate incidents, perform root-cause analysis, and implement preventive measures. Apply SRE practices to improve alerting, resilience, and recovery while developing automation that reduces manual intervention. Collaborate with data engineers, researchers, and market data teams to deliver accurate, available, trusted data supporting trading and research.

Own end-to-end recruitment for experienced technology talent, including sourcing, headhunting, assessment, interviewing, offers, and closing. Partner with engineering leaders and agencies, develop innovative passive-candidate engagement strategies, and advise stakeholders on hiring best practices. Use AI tools and recruitment platforms to improve sourcing, outreach, market mapping, reporting, and workflow efficiency. Analyze pipeline data, support non-technology hiring as needed, and contribute to a high-performance recruiting team.

Lead the strategy, architecture, resilience, performance, automation, and operational evolution of Optiver’s global low-latency network across data centers, WAN, and colocation environments. Build and develop a specialized network engineering team, partner with trading and technology leaders, drive major infrastructure initiatives, manage capacity and connectivity, improve observability and incident response, and establish engineering standards across global infrastructure.

Design and deliver governed, scalable data products and a unified semantic layer across Finance, People, Procurement, and Compliance using Databricks, dbt, SQL, and PySpark. Implement end-to-end governance (Unity Catalog, column-level security, lineage, PII handling), drive DataHub metadata adoption, and set engineering standards for CI/CD, testing, observability, and data quality. Translate senior-stakeholder requirements into production-grade solutions used for reporting, analytics, and AI.

Design and deliver governed, production-grade data products and a unified semantic layer across Finance, People, Procurement, and Compliance. Build scalable pipelines, models, and governance (Unity Catalog, DataHub, Delta) using Databricks, dbt, SQL, and PySpark. Drive data quality, lineage, access control, and enable analytics and AI consumers.

Develop and maintain exotic option pricing models end-to-end, integrate models into automated pricing and risk systems, identify and document model risks, collaborate with traders, technologists and controls, and improve existing pricing models and analysis tools using mathematical rigor and pragmatic C++ implementations.

Support and operate Optiver's APAC network and security infrastructure across offices and data centers. Deploy and manage LAN/WAN, multi-zone firewall architectures, and DC environments using IaC tools. Monitor performance, respond to incidents, collaborate with internal teams and vendors, and drive capacity, reliability, and latency optimizations.

Maintain and improve reliability of large-scale data pipelines by monitoring performance, building automation and data quality tests, investigating incidents, performing root-cause analysis, applying SRE principles, and collaborating with engineers and market data teams to ensure accurate, timely data for trading and research.

The Engineering Lead will oversee the APAC Data Engineering Platform team, responsible for developing a scalable data platform, leading team development, collaborating with stakeholders, and ensuring high engineering standards.