Senior Platform Engineer

Millennium•Miami, FL

5d•Remote

About The Position

Millennium's Infrastructure organization is dedicated to designing, engineering, supporting, and managing a robust server estate, systems virtualization, and core enterprise services. We are seeking a Senior Platforms Engineer to join a highly specialized team of exceptionally talented yet refreshingly humble individuals from diverse disciplines. We believe that delivering exceptional services requires the ability to make meaningful changes across the entire stack. Our mission is to solve real business challenges, reduce operational complexities, and foster a collaborative, team-driven environment that promotes mutual growth and success. We are looking for a Software Engineer to join our WorldQuant Aligned Infrastructure team and work closely with our quantitative researchers to build, extend, and maintain the systems that power their research and production workflows. 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.

Requirements

Strong Python skills - you're fluent, idiomatic, and can tackle complex programming challenges with confidence
Strong foundation in data structures and algorithms - you can reason about complexity, pick the right approach, and implement it cleanly
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 - this is non-negotiable; a large part of the job is bridging the gap between research ideas and production code
Experience working in Linux environment, at an advanced user level

Nice To Haves

Some C++ experience - you'll be expected to contribute to portions of the codebase written in C++, so comfort reading and writing C++ (or strong willingness and ability to ramp up quickly) is a real plus
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

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