About Clear Street:
Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets.
We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients.
By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets.
The Role:
At Clear Street we have a vision of providing the best-in-class platform-as-a-service for data processing and manipulation so that engineers can focus on building the business logic. As the lead of the Data Engineering team, you will be responsible for building reliable, scalable and performant services and tools that provide the best developer experience. We are looking for a hands-on leader who can mentor and grow our team of talented engineers.
You will get a chance to work with modern cloud technologies and be a thought leader in the industry, with opportunities to write blog posts and present at conferences.
The Team:
An engineer is only as good as their tools, and as an Infrastructure Engineer you will work with a team of passionate and highly collaborative engineers to build the best in class common services and tooling for Clear Street. You will own the design, implementation, and maintenance of services and tools that ensures our engineers are able to work at their best level, smoothing out the bumps of development and creating an engineering experience that borders on "magical". In addition to tackling these non trivial problems, you'll help shape development workflows across Clear Street, setting standards on how we design, engineer, and enhance our core applications.
Requirements:
- You have at least eight (8) years of professional experience designing and architecting systems that deliver solutions to complex data problems.
- You have a Bachelor's or advanced degree in Computer Science and deep foundational knowledge of large scale data systems.
- You have strong coding abilities and are comfortable building software in languages like Python, Go, or shell scripting.
- You have a deep understanding of Linux.
- You are passionate about exploring new technologies.
- You live to move fast and release; developing with pace and velocity.
- You communicate technical ideas with ease and always look to collaborate to deliver high quality products.
Data Infrastructure Stack: Snowflake, DBT, Argo, Kafka, Kafka Connectors, Docker, Kubernetes, Metaplane, Protocol Buffers, gRPC, etc.
We offer:
- The opportunity to join a small and growing team of good people, where you can make a difference.
- A new, high-quality code base with little technical debt and room to build new services and features.
- An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology.
- A meritocratic philosophy that champions collaboration.
Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer. #LI-Hybrid
