Build and enhance scalable trading platforms, collaborate with quantitative researchers, optimize distributed systems, and develop research infrastructure that accelerates innovation, performance, and productivity across fast-growing global markets.

3) Job Description Summary

Join a highly collaborative technology team responsible for building and improving the critical platforms that support trading and research activities. You will work alongside quantitative researchers and engineers to create innovative infrastructure, enhance system performance, and drive business growth through technology.

Your Responsibilities Will Include:

1. Designing, developing, and maintaining scalable Python-based applications and services.
2. Building research infrastructure that enables quantitative teams to innovate more efficiently.
3. Enhancing the reliability, scalability, and performance of distributed production systems.
4. Working with large datasets to support research, analytics, and trading operations.
5. Collaborating with engineers and researchers to solve complex technical challenges.
6. Taking ownership of projects from concept through deployment and ongoing improvement.
7. Contributing to platform evolution as the business expands into new markets and opportunities.

Why Join Our Client:

1. Work on mission-critical systems that directly impact business performance.
2. Collaborate with talented researchers and engineers in a highly technical environment.
3. Tackle challenging engineering problems involving distributed systems and large-scale data.
4. Enjoy significant ownership, autonomy, and opportunities to influence technical direction.
5. Be part of a fast-paced, intellectually stimulating team focused on innovation and excellence.

About You:

1. 5+ years of professional Python development experience.
2. Strong background working with large-scale distributed systems.
3. Experience developing and operating applications on Linux platforms.
4. Proven ability to work with large datasets and data-intensive applications.
5. Excellent analytical and problem-solving skills.
6. Naturally curious, self-motivated, and eager to learn.
7. Comfortable taking ownership and delivering results independently.
8. Bachelor's degree in Computer Science, Computer Engineering, or an equivalent field.

If you're passionate about building high-performance platforms, solving complex technical challenges, and creating systems that amplify the impact of an entire organization, this is an opportunity to make a lasting difference while working with some of the brightest minds in technology and quantitative research.

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