Tech at the core
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.
How we engineer impact
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.
End-to-end partnership
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.
Built to compound
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.
“We’re building with AI, but we’re also building for AI.”
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.
Read the conversationCore engineering areas
These capabilities underpin a unified platform built for scale, resilience and speed of innovation across teams and markets, where reusable systems and well-defined interfaces support both human and agentic ways of working.
Build large-scale compute and ML workflows for systematic trading: fast, reproducible research cycles aligned with production demands.
Engineer the low-latency C++ systems behind our edge: thousands of applications built for scale, reliability and fast execution.
Develop bespoke hardware and FPGA solutions that are reusable across strategies and markets.
Design and harden data-heavy systems where responsiveness and throughput pull in different directions across ingestion, query, networking, and delivery to the user.
What our engineers say
“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.”
Senior Software Engineer in Chicago
“Our systems run under pressure. You’re expected to understand how things work at a deep level and keep pushing them further.”
Software Engineer in Mumbai
“Markets don’t wait. We have to design hardware that’s first in line with the right answer, every time.”
Hardware Engineer in Amsterdam
“The work here isn’t just about writing code. It’s thinking through the problems and building things that actually impact how we trade.”
Software Engineer in New York City
Performance at scale
High throughput demands resilience: we design systems to contain blast radius and prevent cascading failures under extreme market conditions.
>10M
Trades executed
every day
Petabytes
of data
processed daily
1M+
financial
instruments priced
Accelerated growth,
continuous learning
Because our engineers operate globally across interconnected systems, knowledge sharing is a requirement, not a nice-to-have.
Global hands-on training
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.
Where the best learn from the best
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.