Production Engineer

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale. Build. Break. Investigate. Optimize. Repeat. We're looking for engineers who love understanding how systems really work. Tinkerers. Optimizers. Troubleshooters. Performance sleuths. People who are just as comfortable diving into Linux internals and packet captures as they are writing software to eliminate operational toil. This isn't a traditional support role. You'll operate at the intersection of software engineering, production operations and business workflows, helping keep a fast-moving trading platform running reliably while continuously making it better.   What you'll do: Own production * Take responsibility for the health, stability and performance of critical trading systems. * When things break, you're one of the people everyone wants in the room. * When things don't break, it's often because of something you built. Investigate the unexplained * Chase down complex incidents that span applications, infrastructure, networks and market connectivity. * Become a technical forensic investigator, uncovering root causes that aren't immediately obvious and turning every incident into a learning opportunity. Eliminate toil * If you have to do something twice, you'll probably automate it. * Build tools, workflows and self-service capabilities that make systems easier to operate and engineers more productive. Obsess over reliability * Design better monitoring, observability and alerting. * Measure what matters. * Reduce noise. * Increase signal. * Help us understand our systems before they fail rather than after they fail Understand the business * Our systems exist to support trading. * You'll learn how orders move through the platform, how market data flows, how trading desks operate and why reliability matters to investment performance. Optimize everything * Latency. * Efficiency. * Deployments. * Troubleshooting workflows. * Feedback loops. * Engineering productivity. * Nothing is ever "good enough." What we're looking for You might be a good fit if you: * Enjoy taking things apart to understand how they work * Automatically start troubleshooting when something looks wrong * Find repetitive work deeply irritating and automate it away * Get satisfaction from building reliable systems * Prefer solving root causes instead of treating symptoms * Love learning new technologies and diving into unfamiliar systems * Can communicate clearly during high-pressure production events We're more interested in how you think than the exact technologies you've used, but you'll likely have: * Strong software engineering skills in Python, C++, or another modern programming language * Solid Linux systems knowledge * Understanding of networking fundamentals including TCP/IP and multicast * Experience troubleshooting distributed systems * Familiarity with observability, monitoring and automation tooling * A passion for engineering robust, scalable and operable systems Previous experience in finance or trading is helpful but not required.   Why this role is different Most companies separate developers, operations engineers and production support teams. We don't. You'll join a multi-skilled engineering group that combines software development, production engineering, operational ownership and business understanding. The result is a role with a broad scope, a steep learning curve and the opportunity to have a direct impact on the reliability and performance of a global trading platform.   QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT You will join the Production Support team in Hong Kong, providing support to QRT’s trading and research teams. In this role, you will be responsible for delivering prompt user support, investigating and resolving issues affecting production data, onboarding data extraction processes, and liaising with internal and external teams to ensure the effective day-to-day management of QRT’s infrastructure.  What you will do: * Provide support for QRT’s system infrastructure * Use cloud platforms to create and monitor data jobs and processes  * Support data systems and tasks running on Windows & Linux environments  * Ensure production and research data systems are stable and available, with all critical data tasks completed before the start of each trading day  * Collaborate with production support teams and developers to investigate and resolve issues quickly  * Support the release management process ensuring stability of the production environment  * Maintenance and support of static databases and supporting processes  * Develop monitoring tools to improve visibility, reliability, and automation of processes.  * Evening/weekend support requirements (normally, through remote access)  Requirements * Minimum 3 years in a support role  * 2+ years of experience with Bash, PowerShell, Git, Python scripting  * Basic understanding of cloud services  * Excellent problem solving and highly effective analytics capabilities required  * Must have a keen focus on ownership of issues and commitment to resolving them  * Excellent written and oral communication skills are essential  * Expert windows desktop and server administration experience is essential  * High level of Linux OS experience is essential  * Expert relational database skills (in order of preference: SQL Server, Postgres) are essential  Good-to-have: * Experience managing the expectations of Front Office traders and senior management  * Knowledge of Equities, Futures, Commodities and FX asset classes  * Knowledge of market data feed handlers and execution feeds  * Knowledge of market-making/liquidity provision and algorithmic trading

Flow Traders

Flow Traders is looking for a Senior Research Engineer to join our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.  As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves. WHAT YOU WILL DO * Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production * Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals WHAT YOU NEED TO SUCCEED * Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar * 8+ years of hands-on experience MLOps, Research Engineering, or ML Research * A strong background in mathematics and statistics * Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray. * Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring * Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability) * Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes) Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.