Clear Street is looking to solve the problem of modernizing the brokerage ecosystem by building a completely cloud-native clearing and custody system designed for today’s complex, global market.
Requirements
- 5+ years of professional experience implementing scalable, distributed services
- Experience with Golang (Go) or Python
- Strong system design skills
- Proven track record of building APIs and data models that prioritize usability, reliability, and performance
- Deep understanding of data structures, algorithms, and design patterns
- Experience with Golang, gRPC, PostgreSQL, Kafka, Redis, Docker, Kubernetes (preferred)
- Experience with client static data systems, risk/compliance, or financial services infrastructure (preferred)
Responsibilities
- Developing scalable services that capture, validate, and distribute client-related data and structures
- Ensuring downstream systems like trading, clearing, settlement, and compliance have accurate, timely information
- Working on challenging system design problems, balancing trade-offs in scale and performance
- Implementing clean and efficient code
- Designing and building Clear Street’s core platform for managing institutional client data and relationships
- Building APIs and data models that prioritize usability, reliability, and performance
- Setting engineering standards and applying system design principles in production environments
Other
- Strong communication skills, with the ability to mentor and collaborate across teams
- Ability to work in an office 4 days per week
- Bachelor's degree or higher (not explicitly mentioned but implied)
- Competitive compensation, benefits, and perks
- 401k matching, gender neutral parental leave, and full medical, dental and vision insurance
