About the PositionOld 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.
