Operating Systems Engineer in Amsterdam

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto is one of the few markets where the gap between a good model and live PnL comes down to how fast and how reliably you can ship it. Abundant data, novel microstructure, and a short path to production mean the quality of our infrastructure directly moves the edge. We're looking for a Quantitative Developer to build that infrastructure and get our models into production. The role This is a hands-on engineering seat on our trading floor. You'll own the infrastructure that turns research models into production trading systems, working primarily in Python and Rust, the language our models and systems are written in. You'll build the frameworks and tooling that let quants ship their code to production and keep those systems running once they're live. You'll work shoulder-to-shoulder with researchers, traders, and fellow engineers, building the tooling, pipelines, and standards that let good ideas reach production quickly and safely, and helping raise the engineering bar across the floor. You will Build and own the infrastructure that takes models from research to production - data pipelines, backtesting, deployment, and monitoring. Turn research prototypes into robust, performant, production-grade code that runs reliably in live trading Work closely with quantitative researchers and traders to get new models live quickly and safely Own the systems you ship in production: monitor performance, diagnose issues, and keep latency and reliability high Improve the tools, standards, and pipelines the team relies on, raising the engineering bar across the floor What we're looking for 2+ years of software engineering experience, with a track record of shipping production-grade systems A strong academic foundation in a STEM discipline (computer science, mathematics, p

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Senior Software Engineer to take technical ownership of our Core systems and help shape how they evolve through our scale-up phase. This is a role for an engineer who has already built and operated correctness-critical systems at scale and who wants their technical decisions to set direction, not just follow it. What will you do? You will own the systems that keep our trading operation accurate at every level — positions, PnL, instruments, hedging, and the data flowing between them. Across exchanges and asset classes, your work determines whether the numbers our traders and risk team rely on are correct. As a senior engineer, you will also set the technical standards the rest of the team builds against. You will: Own the books. Maintain and evolve our position, trade, and PnL systems so they remain accurate across every venue. Architect the platform that supports trading. Design services that handle real-time exchange flow with the throughput and reliability our quoting and hedging depend on, making the structural calls that keep them fast and correct under load. Own the data flows. Operate and harden the public and private pipelines bringing market prices, account state, and trade events into our systems in real time. Lead venue integrations end-to-end. Deliver exchange and prime-broker integrations across protocol, account model, settlement, reconciliation, and surveillance and define the patterns we reuse for the next one. Model the instrument universe. Own the systems describing every tradable instrument - lifecycle, expiry, margin, RFQs, fast-path quoting - where both correctness and latency matter. Build self-healing systems. Design the detection and repair flows that identify position discrepancies and correct them automatically. Own hedging inf

About BlockTech BlockTech is a fast-paced algorithmic trading firm facilitating global cryptocurrency derivatives and spot trading while expanding into new markets. As we continue to grow rapidly, we are looking for a Software Engineer to join our Core team amid our exciting scale-up phase! The role In this role, you will work on the systems that keep our trading operation accurate at every level, positions, PnL, instruments, hedging, and the data flowing between them. Across exchanges and asset classes, your work determines whether the numbers our traders and risk team rely on are correct. Own the books. Maintain and evolve our position, trade, and PnL systems so they remain accurate across every venue we operate on. Build the platform that supports trading. Design services that handle real-time exchange flow with the throughput and reliability on which our quoting and hedging depend. Own the data flows. Operate the public and private data pipelines that bring market prices, account state, and trade events into our systems in real time. Integrate new venues. Deliver exchange and prime-broker integrations end-to-end, protocol, account model, settlement, reconciliation, and surveillance. Model the instrument universe. Own the systems that describe every tradable instrument we trade, lifecycle, expiry, margin, RFQs, fast-path quoting, where both correctness and latency matter. Develop self-healing systems. Build the detection and repair flows that identify position discrepancies and correct them automatically. Build hedging infrastructure. Design and refine the gamma and delta hedging systems that our trading strategies depend on. Deliver reporting. Provide the data that internal stakeholders and regulators require, PnL breakdowns, trade surveillance, treasury accounting, and compliance. What we're looking for 1+ years of commercial working experience as a Software Engineer. We are looking for an engineer with breadth: someone comfortable moving between a Rust service

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern