Technology is critical to how we compete as a global liquidity provider. Our engineers build the data, pricing, risk, and execution systems that power trading and research, with an AI-first mindset in how we build, test, deploy, and run those systems. Powering millions of trades every day requires precision at the smallest levels, with latency measured in nanoseconds. Every circuit, every line of code, and every system-level decision is engineered to keep us in the market when others leave.
Every engineering choice has a clear and attributable impact on performance. Ideas move quickly from insight to production-quality change, with outcomes visible in live markets within hours. Engineers can clearly connect the problems they own to the impact their work has, creating direct accountability for both speed and quality.
Our engineers work in close partnership with traders and researchers, with shared priorities that shift as markets move. They refine strategy logic, improve models, and solve live trading problems at speed, with clear ownership and direct visibility into market outcomes.
We’ve built one of the most advanced low-latency trading platforms in the world, and we keep evolving it as markets and strategies change. Engineers continuously examine how components interact with exchanges and how systems respond under pressure. They rebuild, refine and reuse what works so gains compound over time.
Platform engineering, end to end
A conversation with Pat Cooney, Head of Platform Engineering, on where we’re headed and how agentic AI is changing the way we build and operate.
High throughput demands resilience: we design systems to contain blast radius and prevent cascading failures under extreme market conditions.
Trades executed every day
of data processed daily
financial instruments priced
Build large-scale compute and ML workflows for systematic trading: fast, reproducible research cycles aligned with production demands.
“I know a lot of engineers who are smart and motivated. Finding both in the same person is rare. Finding a whole team of them is even rarer.”
“Our systems run under pressure. You're expected to understand how things work at a deep level and keep pushing them further.”
“Markets don't wait. We have to design hardware that's first in line with the right answer, every time.”
“The data I ingest is used to generate signals that flow directly into execution systems. Owning how those pipelines affect live trading outcomes is highly rewarding.”
Engineers start their journey with the Global Optiver Academy, an intensive onboarding program led by our in-house education team. Bringing together peers from across global offices, the academy offers hands-on, production-level training, equipping engineers with the technical depth to start making meaningful contributions.
Deep expertise is built through real trading problems, cross-disciplinary collaboration, and AI-augmented workflows, with engineers accountable for outcomes. We keep codebases open, encourage debate, and run internal tech talks that spark new ideas across disciplines. Whether sense-checking a solution, analyzing system performance, or exploring new domains, engineers learn fast through shared standards and direct access to deep expertise.
