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White Swan Data

Senior Software Developer

Engineering

Employment

Not stated

Level

Senior

Category

Engineering
Not doable from Austria

Country assessment

Not doable from Austria because the employer's own board marks it as not remote.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

PythonJavaREST APIsDockerGCP

Job description

About White Swan Data Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones. Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development.

This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board. As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas.

In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry. 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. Design, develop, and optimise cloud based low-latency data processing pipelines.

Implement and maintain integrations with multiple trading platform. 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. 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.

Nice to have:

Experience in a trading environment. Industry experience in wagering/betting.