About the position
As a systematic asset manager, Arrowstreet must identify investable trading strategies and implement them quickly and with the highest quality. Having a robust, scalable, and performant general compute platform and workflow system is thus of critical importance. You will be joining the compute platforms team, which is responsible for the development of various compute, workflow, and observability services and systems for the Research group. The ideal candidate should be interested in building scalable applications and distributed systems on AWS Cloud-based infrastructure. The expectation of the role is to be hands-on - you will design, develop, test, build, deploy and support the functionality. The work includes developing applications and automation tools, Infrastructure-As-Code solutions, and CICD pipelines with unit and integrated tests that ensure high quality and efficient operations.
Responsibilities
- Work on projects that extend the feature offerings of the advanced workflow orchestration platform.
- Develop applications and tools to automate and scale the platform's operations.
- Accelerate the adoption of various technologies and platforms across the entire company.
Requirements
- Enrolled in an undergraduate program studying computer science, software engineering, computer engineering, mathematics, data science, or a related discipline.
- Expected degree completion within a year of the internship.
- Applied algorithmic and systems engineering experience through academic projects.
- Experience using Python or another object-oriented language.
- Demonstrated interest in a software engineering career path.
- Ability to thrive in a fast-paced environment.
- Strong communication, collaboration, and interpersonal skills.
- Motivated, curious and enthusiastic.
Nice-to-haves
- Experience with Docker, Kubernetes, AWS is a plus, but not required.
