Hands-on experience with Google Cloud Platform (GCP) and Docker.
Experience building and integrating with RESTful APIs for real-time applications.
Understanding of performance optimization techniques for low-latency systems.
Solid grasp of data pipeline design and ETL processes.
Experience with AI technologies as a key requirement.
Responsibilities
Design, develop, and optimize cloud-based low-latency data processing pipelines.
Implement and maintain integrations with multiple trading platforms.
Enhance existing trading strategy implementations for improved performance.
Design and implement real-time data processing and analytical reporting pipelines.
Monitor and optimize system performance to maintain millisecond-level latency targets.
Collaborate closely with quantitative analysts to translate trading strategies into production code.
Maintain and improve GCP-based infrastructure and deployment pipelines.
Benefits
Opportunity to work on cutting-edge trading systems.
Collaborative environment with direct impact on platform success.
Engagement with challenging technical problems.
Dynamic team atmosphere in a fast-developing area of the business.
Full Job Description
Senior Software Developer
Department: Engineering
Employment Type: Full Time
Location: New York
Description
About the Role
We have an opportunity for an experienced developer to join a fast-developing area of our business. This role will be joining a small and dynamic team developing a cutting-edge trading systems.
We are building systems that process real-time market and event-based information to execute automated trading strategies with millisecond latency. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success.
Key Responsibilities
Design, develop, and optimise cloud based low-latency data processing pipelines.
Implement and maintain integrations with multiple trading platforms.
Enhance existing trading strategy implementations for improved performance.
Design and implement real-time data processing and analytical reporting pipelines.
Monitor and optimise system performance to maintain millisecond-level latency targets.
Collaborate closely with quantitative analysts to translate trading strategies into production code.
Maintain and improve our GCP-based infrastructure and deployment pipelines.
Skills, Knowledge and Expertise
Must have:
Programming Proficiency: Strong skills in Python and Java.
Cloud & Infrastructure: Hands-on experience with Google Cloud Platform (GCP) and Docker containerisation.
API Development: Experience building and integrating with RESTful APIs, particularly for real-time applications.
Low-Latency Systems: Understanding of performance optimisation techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems.
Data Engineering: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads.
Experience of AI. We have found AI has been an enormous accelerator across our team, this is a requirement for new hires.
