Home-Based Senior Software Engineer

4 Days Old

Senior Software Engineer Department: Engineering
Employment Type: Full Time
Location: London, UK
Description
We currently have an opportunity for an experienced Developer to join this fast developing area of our business. This role will be joining a small, dynamic team developing a cutting-edge in-play football modelling and trading platform.
We are building systems that process real-time match and market data to execute automated trading strategies with millisecond latency - think high-frequency financial trading meets sports analytics. 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 optimize BigQuery-based solutions for real-time, low-latency data processing
Implement and maintain API integrations with multiple trading platforms
Enhance and refactor existing model and trading strategy implementations for improved performance
Design and implement BigQuery schemas for both real-time data processing pipelines and analytical reporting
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 our GCP-based infrastructure and deployment pipelines
Skills, Knowledge and Expertise
BigQuery Expertise : Solid understanding of BigQuery architecture and optimization techniques.
Postgres : Familiarity with Postgres and/or other traditional RDBMS.
Programming Proficiency : Strong skills in Python and Java, with working knowledge of R
Cloud & Infrastructure : Hands-on experience with Google Cloud Platform (GCP) and Docker containerization
API Development : Experience building and integrating with RESTful APIs, particularly for real-time applications
Low-Latency Systems : Understanding of performance optimization 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
Version Control & CI/CD : Proficiency with Git and modern deployment practices
Benefits
~ Salary depending on experience.
~ Annual discretionary performance bonus.
~25 days holiday per annum, plus UK bank holidays.
~ Private health & dental insurance.
~ Optical cover through Aviva.
~ Pension plan.
~ Gympass membership to over 1900 gyms and wellness businesses.
~ Breakfast bought in everyday and lunch bought in twice a week
~ Free coffee & snacks at the office.
~ Regular team events & socials.

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Apply
Location:
London
Job Type:
FullTime

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