Job description

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement. About the Position Old Mission is seeking a highly skilled Software Engineer to join our Research Infrastructure team. The team is responsible for managing and maintaining datasets, infrastructure, and libraries that power the firm's research activities across a huge number of instruments in nearly all asset classes - a vast data universe of Equities, Options, Commodities, Bonds, and more. Our day to day consists of handling production issues, developing new datasets, building next-generation infrastructure, and maintaining our data pipelines. This person will sit in our Chicago office. Responsibilities: The complexity of data sources presents unique engineering challenges that require innovative solutions that you will help create You will be responsible for designing, building, and maintaining data pipelines and data infrastructure You will help capture, archive, store, and index data for the entire firm You will design and implement big data tooling to support cluster computing and high-throughput computing tasks You will work on solving problems relating to how data is transmitted between C++ and Python Re-architect current APIs to ensure scalability and performance improvements Collaborate in the release process, including rolling out new releases, debugging and maintenance of systems Identify and implement strategies for upgrading the current data storage capacity Use a combination of technical expertise and analytical skills to ensure the efficient and effective functioning of our data infrastructure Focus on solving tough problems using research and data and spend time solving these problems utilizing modern technologies Required Skills Experience with C++ (required) and Python (preferred) 4+ years of experience as a Systems Engineer, Platform Engineer, Data Engineer, Software Engineer, or similar - "Big Data" experience preferred Ability to drive and lead technical projects as well as mentor junior engineers Knowledge of software engineering practices - what makes code reusable and extensible Passion for infrastructure: building internal tooling and frameworks Experience with the design and implement big data tooling to support cluster computing and high-throughput computing tasks is a plus Experience with Linux APIs – filesystems, networking, processes management, etc. Experience developing big data technology, preferably complete rebuilds is a plus Bachelor's degree in Computer Science or a related field Benefits and Perks Competitive salary with discretionary annual bonus Fully paid Medical, Dental, Vision, Disability, and Life Insurance Fully stocked kitchen; free breakfast and lunch every day on-site Tuition Reimbursement Program 401(k) with employer match Paid Vacation, Sick and Parental leaves Commuter and Flexible Spending Programs Base Salary Range $175,000 - $300,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter. Old Mission is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.

Requirements

Must-haves

The complexity of data sources presents unique engineering challenges that require innovative solutions that you will help create
You will be responsible for designing, building, and maintaining data pipelines and data infrastructure
You will help capture, archive, store, and index data for the entire firm
You will design and implement big data tooling to support cluster computing and high-throughput computing tasks
You will work on solving problems relating to how data is transmitted between C++ and Python
Re-architect current APIs to ensure scalability and performance improvements
Collaborate in the release process, including rolling out new releases, debugging and maintenance of systems
Identify and implement strategies for upgrading the current data storage capacity
Use a combination of technical expertise and analytical skills to ensure the efficient and effective functioning of our data infrastructure
Focus on solving tough problems using research and data and spend time solving these problems utilizing modern technologies
Ability to drive and lead technical projects as well as mentor junior engineers
Knowledge of software engineering practices - what makes code reusable and extensible
Passion for infrastructure: building internal tooling and frameworks
Experience with Linux APIs – filesystems, networking, processes management, etc.
Bachelor's degree in Computer Science or a related field

Nice-to-haves

Experience with C++ (required) and Python (preferred)
4+ years of experience as a Systems Engineer, Platform Engineer, Data Engineer, Software Engineer, or similar - "Big Data" experience preferred
Experience with the design and implement big data tooling to support cluster computing and high-throughput computing tasks is a plus
Experience developing big data technology, preferably complete rebuilds is a plus

Application prep

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Keywords to mirror

python

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave