Engineering Lead- Options

Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore, New York, and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks as well as asset and wealth management. Keyrock is looking to expand and establish itself as a full-service capital markets and asset & wealth management financial institution through both organic innovation and inorganic growth. But we're more than a service provider. We're an initiator. We have been pioneers in adopting the Rust Development language for our algorithmic trading systems, and champions of its use in the industry. We upgrade Web3 ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.

### Responsibilities - Lead and grow an Options Engineering team of around 7 engineers - Bring hands-on experience in systematic options trading, ideally including options market-making, automated quoting, execution, and risk management - Own and evolve an existing Rust-native systematic options trading platform - Provide strong technical direction across trading infrastructure, system design, performance, reliability, and risk controls - Work pragmatically through complex engineering and trading-system challenges - Partner closely with trading, quant, product, risk, and infrastructure stakeholders - Balance technical leadership with people leadership, delivery ownership, and operational discipline

### Requirements - 7+ years of experience in systematic trading, options market-making or low-latency trading systems - Strong hands-on experience with Rust, C++, or C - Willingness to become deeply proficient in Rust, if not already - Strong understanding of algorithmic options trading, including automated quoting, execution, pricing, risk controls, and market data workflows - Experience building or maintaining low-latency trading systems, ideally within options or derivatives markets - Experience working with SQL databases in production environments, with PostgreSQL preferred - Familiarity with functional testing, component testing, and production-grade validation practices - Strong understanding of distributed systems, service boundaries, and production reliability - Strong knowledge of gRPC and experience working with Node.js-based services is preferred - Previous experience with crypto exchange connectivity and/or FPGA technologies is strongly preferred

### Conditions - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer, we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Keyrock is a Brussels-based liquidity provider specializing in tailored solutions for the digital asset ecosystem, including market making, OTC trading, options desk, and treasury solutions. The company serves institutional clients and market participants globally through advanced algorithmic trading infrastructure.