Senior Software Developer
White Swan Data
Salary undisclosed
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Description
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
- 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.
Nice to have:
- Experience in a trading environment.
- Industry experience in wagering/betting.
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Pay for this role
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