Senior Software Developer

White Swan Data; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Salary depending on experience

Annual discretionary performance bonus

25 days holiday per annum

Pension plan

Job summary

White Swan Data is building a cutting-edge trading systems platform in New York. We seek a Senior Software Developer to join a small, fast-growing team delivering real-time market processing with millisecond latency.

You will work across cloud-based pipelines, real-time APIs, and analytics with close collaboration from quantitative analysts. Ideal candidates have strong Python and Java skills, GCP and Docker experience, and a solid background in low-latency data systems, ETL design, and

Qualifications

• Strong skills in Python and Java.
• Hands-on experience with Google Cloud Platform (GCP) and Docker containerisation.
• Experience building RESTful APIs for real-time applications.
• Understanding of low-latency systems and event-driven streaming architectures.
• Data pipeline design, ETL, and schema design for transactional and analytical workloads.
• Experience of AI is a requirement for new hires.

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 with quantitative analysts to translate trading strategies into production code.
• Maintain and improve GCP-based infrastructure and deployment pipelines.

Skills

Python

Java

GCP

Docker

RESTful APIs

Low-Latency Systems

Data Engineering

AI Experience

Trading Environment

Wagering/Betting Experience

Tools

Git

CI/CD

Job description

Senior Software Developer

Department: Engineering

Employment Type: Full Time

Location: New York

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.

Our expansion into the United States

White Swan Data is entering an exciting new phase of growth as we prepare to establish our first office in the United States.

As our work and relationships within the US market continue to grow, we are planning to establish our first US office, expected to be located in New York City. This will be a significant milestone for the business and an opportunity to build a new team from the ground up, working closely with our existing UK-based operation.

We are currently building our plans for the US operation and are beginning to speak with talented individuals who could play an important role in establishing and growing our presence in the market. As this is a new operation, the exact timing and details of the launch are still being finalised.

If you are excited by the opportunity to join a growing business and have an interest in being part of our US expansion, we would be very interested in hearing from you.

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.

Nice to have:

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

Benefits

• Salary depending on experience.
• Annual discretionary performance bonus.
• 25 days holiday per annum.
• Pension plan.