The Role
Develop and maintain reliable software systems, automation, monitoring, observability, and production data pipelines. Improve scalability, availability, operability, and deployment processes while collaborating with software engineering teams on architecture and performance. Operate production-critical environments, follow change-management controls, enhance automated testing, and participate in support rotations for research and data pipelines.
Summary Generated by Built In
Position Summary
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
The Reliability Engineering team in London is responsible for multiple data plants which provide live and historical data across the firm. We drive automation, improve real-time monitoring, develop metrics to measure performance, drive operational excellence, and lead release and deployment.
You will take on the following responsibilities:
You should possess the following qualifications:
Preferred qualifications:
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world's most complex economic problems.
The Reliability Engineering team in London is responsible for multiple data plants which provide live and historical data across the firm. We drive automation, improve real-time monitoring, develop metrics to measure performance, drive operational excellence, and lead release and deployment.
You will take on the following responsibilities:
- Software development of systems, services, tools and libraries.
- Improving all aspects of software reliability, including observability, operability, scalability, and availability.
- Building and maintaining automation focused software (primarily in Python) to enable us to craft maintainable and scalable systems
- Demonstrating adherence to rigorous change management controls, including a commitment to continuous improvement of our tests and automated checks
- Extensive collaboration with our software engineering teams on architectural and product design, reliability, performance, support issues and improvements to our tools, processes, and software
- Responsibility for the daily operation and monitoring of a production-critical environment
- Participation in a support rotation responsible for several critical production and research data pipelines
You should possess the following qualifications:
- A bachelor's degree, equivalent or higher in computer science or another highly technical, scientific discipline.
- Proactive approach to problem identification and resolution and continuous development and automation.
- Proficiency with one or more object oriented scripting languages such as; Python, Ruby or JavaScript.
- Proven track record for automating processes together with an algorithmic approach to solving problems.
- Some knowledge of UNIX or Linux Systems.
Preferred qualifications:
- Experience working with distributed systems and low-latency applications on Linux operating systems.
- Experience with networking fundamentals.
- Experience working directly with counterparties on issue resolution in a trading environment.
- Experience with Python
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Skills Required
- Bachelor’s degree or equivalent in computer science or another highly technical or scientific discipline
- Proficiency with one or more object-oriented scripting languages, such as Python, Ruby, or JavaScript
- Proven track record automating processes and applying algorithmic problem-solving
- Knowledge of UNIX or Linux systems
- Experience with distributed systems and low-latency applications on Linux
- Experience with networking fundamentals
- Experience working with counterparties on issue resolution in a trading environment
- Experience with Python
Two Sigma Compensation & Benefits Highlights
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Strong & Reliable Incentives — Compensation packages for technical roles include substantial performance-based bonuses that create notable upside potential. This structure is described as a key reason total pay feels strong, particularly versus mainstream technology roles.
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Healthcare Strength — Healthcare is described as premium-free for employees and eligible dependents, complemented by life and disability coverage. This comprehensive offering is frequently highlighted alongside positive views of the broader benefits package.
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Parental & Family Support — Support includes financial assistance for family building, paid leave for caregivers, additional bonding time, and backup or discounted in-home childcare in some locations. These programs are presented as a meaningful part of the overall benefits.
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The Company
What We Do
Two Sigma is a leading quantitative investment management and trading firm with more than $80 billion in assets under management. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors. Founded in 2001, Two Sigma employs over 1,700 curious minds at its headquarters in New York and in offices around the globe.
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Two Sigma Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Flexible