Top Tech Jobs & Startup Jobs

Deploys, monitors, troubleshoots, and manages low-latency network infrastructure supporting high-frequency trading. Responsibilities include colocation and data center design, WAN connectivity, capacity planning, traffic optimization, maintenance, protocol troubleshooting, automation, monitoring, and technical debt reduction. The role requires expertise with routing and network protocols, LAN/WAN environments, performance monitoring, and network automation.

Own global software procurement and category management, including sourcing events, commercial analysis, negotiations, contracts, renewals, licensing, supplier performance, and risk management. Partner with technology, business, finance, legal, and procurement stakeholders to optimize software spend, consumption, total cost of ownership, and supplier outcomes. Develop category strategies, manage global processes, maintain procurement records, and contribute to sourcing playbooks and should-cost models.

Develop and maintain low-latency, end-to-end high-frequency trading infrastructure from research and simulation through production execution. Partner with researchers on equity and ETF trading systems, build pricing and trading models, deliver frequent production code changes, and ensure robust architectural and operational standards. The role requires strong C++ expertise, computer science fundamentals, and an understanding of trading and exchange systems.

Build and optimize Optiver’s Research Platform, including service orchestration, job scheduling, cluster management, distributed systems, and big-data processing. Develop scalable compute and data platform capabilities in Python and Rust, integrate emerging technologies such as GPU and CUDA tooling, and collaborate with traders, researchers, and engineers to improve large-scale simulations and model training.

Build and improve Optiver’s research platform, including service orchestration, job scheduling, cluster management, big-data processing, and managed compute and data infrastructure. Develop scalable, reliable features in Python and Rust, explore technologies such as GPUs and CUDA, and collaborate with traders, researchers, and engineers on large-scale simulations and model training.

Build the platforms, workflows, testing frameworks, build systems, and security guardrails enabling autonomous AI agents to execute software development lifecycles safely and efficiently. Responsibilities include provisioning ephemeral development environments, automating code review, evaluating agent behavior, establishing change traceability, integrating engineering context, scaling builds, and partnering with teams to improve developer and agent workflows.

Build and operate scalable data platforms supporting trading, research, and analytics. Responsibilities include troubleshooting data quality and availability issues, monitoring ingestion pipelines and market data feeds, onboarding datasets, developing ETL/ELT pipelines and APIs, implementing validation and anomaly detection, managing vendors, and improving platform reliability and observability.

Build and own end-to-end trading systems and workflows, working with traders and researchers. Develop ultra-low-latency execution, research and simulation platforms, routing and exchange connectivity, analytics, and tooling to improve execution and trading performance.

Analyze complex trading positions and portfolios, perform stress tests and scenario analyses, develop risk methodologies and analytics, investigate incidents and limit breaches, and communicate actionable risk insights to traders and senior stakeholders. The role partners with quantitative researchers and engineers to improve trading risk tools, systems, processes, and frameworks.

Conduct applied quantitative research in global financial markets by analyzing large-scale market and order-flow data, developing predictive, statistical, stochastic, and machine learning models, testing hypotheses, and identifying trading opportunities. Researchers validate models in live market environments and collaborate with engineers and traders. The role includes structured graduate onboarding and requires a PhD in a quantitative STEM field, expected completion by mid-2027.