Top Tech Jobs & Startup Jobs

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.

The Senior Sourcing Lead will drive hardware sourcing initiatives, manage supplier relations and risks, and mentor the procurement team globally.

Build and maintain trading automation, data pipelines, and analytics to support market making; own reliability and incident response; partner with traders, researchers, and engineers to reduce manual work and scale improvements.

Design, operate, and own Optiver's global Microsoft 365 platform across collaboration, messaging, identity, and device access. Lead architecture, simplify hybrid complexity, implement observability and self-healing automation, run BAU operations, and deliver global rollouts and governance.

The Senior Network Engineer will design, optimize, and maintain the networks for proprietary trading systems, focusing on low latency and automation to support high performance in trading operations.

Join Optiver as a Graduate Quantitative Researcher to analyze large-scale market and order-flow data, develop predictive and stochastic models, apply machine learning and deep learning techniques, and translate research into live trading solutions.

The Network Engineer will design and manage enterprise and trading networks, optimize infrastructure for performance, and support deployments across data centers.

As a Linux Systems Engineer, you'll manage server life cycles, monitor performance, troubleshoot incidents, and lead automation efforts in a high-performance trading environment.

As a Systems Engineer, you'll manage server life cycles, develop solutions, automate processes, and ensure system performance in a Linux environment.

Lead global AI education and enablement programs across trading, technology, and operations: design curricula and one-off training, build train-the-trainer networks, partner with vendors, define metrics to measure impact, convert learning into product input for the internal AI platform, and manage executive stakeholders to drive AI adoption.