Senior Platform Engineer

We are seeking a Senior Platforms Engineer to join a highly specialized team of exceptionally talented yet refreshingly humble individuals from diverse disciplines. Our mission is to solve real business challenges, reduce operational complexities, and foster a collaborative, team-driven environment that promotes mutual growth and success.

This is a hands-on software engineering role where you'll be writing production-quality code (primarily in Python, with some C++) and partnering directly with quants to translate complex ideas into robust, performant software.

Responsibilities:

• Design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact
• Collaborate daily with quantitative researchers to understand their needs and turn them into well-engineered solutions
• Contribute across the stack, primarily in Python with some work in C++
• Work through complex algorithmic and data-structure problems where correctness and performance both matter
• Participate in code reviews, design discussions, and promote engineering best practices
• Communicate trade-offs and technical decisions clearly with both engineers and quants

Ideal Candidate:

• A strong software engineer who cares deeply about code quality, correctness, and clear thinking
• Someone who enjoys working alongside domain experts and can hold their own in technical discussions on both sides
• Driven by curiosity, always ready to learn new things and dig into unfamiliar problems
• A collaborative team player with excellent communication and problem-solving skills

Required Skills / Experience:

• Strong Python skills
• Strong foundation in data structures and algorithms
• Demonstrable problem solving abilities, insight, and judgment as well as a strong attention to detail
• Ability to communicate complex technical concepts clearly with quants and other engineers
• Experience working in Linux environment, at an advanced user level

Preference / Nice to have:

• Some C++ experience
• Prior exposure to quantitative finance, scientific computing, or any environment where engineers work closely with researchers
• Experience contributing to performance-sensitive or numerically oriented code