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.
Enterprise Platform Engineering (EPE) delivers the technical platform that empowers Two Sigma’s people and trading businesses to rapidly scale, collaborate, and innovate while minimizing risk. Our team is responsible for massively scaled infrastructure and systems that power workflows across research, simulation and live-trading. We develop frameworks and applications that enable other engineering teams and business users to accomplish business critical goals, with a focus on robust design and high-quality code.
You will take on the following responsibilities:
- Design, build, and maintain scalable, distributed infrastructure platforms across on-premise and the public cloud that enable engineers and data scientists to deploy and operate workloads efficiently.
- Evaluate and integrate new technologies (such as Gen AI) and open-source tools into the platform ecosystem, conducting proof-of-concepts and making data-driven recommendations for adoption.
- Participate in on-call rotations and lead incident response efforts, conducting thorough post-mortems and implementing preventive measures to improve system resilience.
- Define and promote platform engineering best practices, architectural patterns, and technology standards across the organization through documentation, training sessions, and hands-on support.
- Lead cross-functional platform initiatives from conception to delivery, coordinating with multiple engineering teams, product managers, and collaborators to define requirements, establish timelines, and ensure successful adoption of new platform capabilities.
You should possess the following qualifications:
- Minimum 1 year of experience required; 5-12 years of experience in software engineering preferred
- A Bachelors with Honours in a relevant discipline is required or a MS degree in Computer Science, Engineering, or a related field
- In-depth knowledge of Linux operating system and network fundamentals. Good understanding of system performance
- Experience of working on large distributed system
- Experience with Python, Java, or C++
- Background in GenAI-driven systems development is a plus