
Senior Software Engineer, Poker Analytics/GamingTech
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Post a project like this- Posted:
- Proposals: 13
- Remote
- #4451062
- Expired


Description
Location: Worldwide
Preferable: Russian speaking
I’m looking for a Senior Software Engineer with a strong background in poker and data analytics to work on a high-level online poker analytics product. This is a long-term role building advanced tools for professional and high-stakes players.
The project involves developing analytical software using C#/.NET and Blazor, working with large data sets, and implementing features similar to modern poker tracking and HUD solutions. Experience using Hand2Note or similar analytics tools is strongly preferred.
What I’m looking for
- 6+ years of professional experience as a Software Engineer / Senior Developer.
- Real experience playing poker (mid/high stakes is a strong plus).
- Deep understanding of poker strategy and player decision-making.
- Experience with Hand2Note or similar poker analytics/tracking tools.
- Strong knowledge of data analytics and working with large structured datasets.
- Solid experience in C#/.NET, Blazor, and modern backend/frontend development.
- Ability to work independently in a fully remote, flexible environment.
What you’ll do
- Develop and maintain a next-generation poker analytics platform for professional players.
- Build high-performance components for data processing, modeling, and UI/UX.
- Work with hand histories, player statistics, and complex analytical logic.
- Collaborate on product direction, architecture, and feature prioritization.
- Implement new analytical modules and improve existing ones.
Maxim G.
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Hello, Maxim! Thanks for your job posting and I have some questions for your project:
How large are the typical datasets (hand histories, aggregated stats, decision trees) that the platform processes, and what performance benchmarks are you aiming for when scaling analytics features?
Do you already have a defined architecture and data pipeline in place, or are you expecting the new engineer to contribute to foundational decisions such as storage models, indexing strategy, and processing workflows?
How closely will the engineering team collaborate with poker experts or high-stakes players when designing analytical modules and validating strategic insights?
Best regards.