
Qube Research & Technologies · Hong kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a ...
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.
Own production
Investigate the unexplained
into a learning opportunity.
Eliminate toil
Obsess over reliability
Understand the business
to investment performance.
Optimize everything
What we're looking for
We're more interested in how you think than the exact technologies you've used, but you'll likely have:
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 (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 We are seeking a pragmatic and commercially-oriented Risk Technology specific Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in technology. Primary he/she will be involved in prototyping, building scalable solutions with automated tests and CI/CD pipelines for the business with the goal of delivering a stable service. He/She must have a keen interest in automating processes and workflows. In addition, he/she will have to liaise with internal or external teams for effective management of the QRT Risk Technology stack. What you will do: * Develop and implement robust and reliable automation and/or analytical tools to help capture and investigate data quality problems using advanced Python * Building and enhancing user interfaces using tools like Plotly Dash and/or Streamlit. * Monitor system performance and troubleshoot issues to ensure optimal operation. * Collaborate with other support and development teams, SRE or Infrastructure teams to improve system reliability and performance. * Ensure security and compliance standards are met. * Support Risk and PnL application infrastructure, including but not limited to: * Risk and PnL application problems * AWS EKS infrastructure issues * Monitoring and react to system issues Requirements * Good understanding of system architecture and cloud technologies. * Proficiency in programming languages, Python being the primary. * Experience with monitoring and logging tools. * Excellent problem-solving skills and attention to detail. * Ability to work in a fast-paced, dynamic environment. * Commercially oriented mindset with a focus on business outcomes. * Prior experience in the finance industry is preferred but not required. Your present skillset * 4-7 years of software development experience. * Advanced proficiency in Python with strong object-oriented programming skills. * Advanced proficiency with the use of pandas DataFrame. * UI development experience with python frameworks such as Plotly Dash and/or streamlit. * Experience with self-hosted and cloud platforms (AWS preferred). * Familiarity with Rest APIs, Containers, Kubernetes, and SQL Server. * Strong problem-solving skills with a proactive and efficient approach. * Good clear communication skill with the ability to navigate and express complex ideas. * Ability to manage time effectively. * Familiarity with risk and PnL concepts (good-to-have). * Familiar with time series data visualization and technology such as InfluxDB, Prometheus (good-to-have). 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 (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 We are seeking pragmatic and commercially-oriented Reliability Engineers with strong C++ development skills to join our team. The ideal candidate will have a robust background in technology and a keen interest in solving business problems. This role is crucial for maintaining the reliability and performance of our systems, ensuring they meet the high standards required in the financial industry. What you will do: * Design, implement, and maintain scalable and reliable systems * Monitor system performance and troubleshoot issues to ensure optimal operation * Collaborate with development teams to improve system reliability and performance * Develop and implement automation tools to streamline operations * Ensure security and compliance standards are met * Provide technical support and guidance to other teams Requirements * Proven experience in site reliability engineering or a similar role * Strong understanding of system architecture and cloud technologies * Proficiency in C++ development, with additional knowledge of Python or C# being a plus. * Experience with monitoring and logging tools * Excellent problem-solving skills and attention to detail * Ability to work in a fast-paced, dynamic environment * Commercially oriented mindset with a focus on business outcomes * Experience working on the buy side is a significant positive. * Experience with low latency order entry or market data systems is highly desirable. * Prior experience in the finance industry is preferred but not required. 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.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description We are seeking a Site Reliability Engineer (SRE) to join Visa Open Banking (VOB), delivering open banking solutions as part of Visa. Visa Open Banking processes billions of events, enabling data-driven decisions for clients and internal stakeholders. As an SRE in the Infrastructure & Tooling area, you will play a key role in ensuring our platforms are reliable, scalable, secure, and easy to use, while empowering engineering teams with self-service tools and automation. This role spans both cloud infrastructure (AWS, Kubernetes, runtime) and engineering productivity platforms (CI/CD, developer portals, observability), focusing on improving developer experience and overall system resilience. Key Responsibilities: Build and operate reliable, scalable, and secure infrastructure platforms across AWS and Kubernetes Develop and maintain self-service tooling and platforms to enable teams to deploy and operate services independently Improve CI/CD pipelines, developer experience, and platform usability Drive observability strategies across logs, metrics, and tracing Automate provisioning, deployment, and scaling using scripting (Python, Go, Bash, etc.) Support engineering teams with best practices in reliability, performance, and cost optimisation Collaborate with stakeholders to ensure platforms align with evolving use cases and requirements Contribute to architecture, standards, and platform designs for large-scale distributed systems Act as a champion for automation, platform engineering, and operational excellence This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: Relevant work experience and a Bachelor's degree Experience working with cloud platforms (AWS or similar) and container orchestration (Kubernetes/EKS) Solid understanding of CI/CD pipelines and modern software delivery practices Experience with infrastructure as code and automation tools Working knowledge of monitoring and observability tools (e.g. metrics, logs, tracing) Programming or scripting skills (e.g. Python, Go, Bash) Understanding of distributed systems, reliability, and scalability principles Strong collaboration and communication skills Preferred Qualifications: Experience building or operating developer platforms (e.g. Backstage, internal portals, self-service tooling) Experience with observability platforms such as Datadog Knowledge of platform engineering and developer experience practices Experience with large-scale, event-driven systems Understanding of cost optimisation and operational efficiency in cloud environments Experience influencing architecture decisions and engineering standards Familiarity with security and compliance requirements in cloud environments Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.