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We are a product R&D company that creates solutions for the dynamic iGaming ecosystem. Our
mission is to build cutting-edge platforms that reinvent the iGaming industry.
We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We
work across personalization, recommendation, fraud detection, and some GenAI, through real-
time, near-real-time, and batch pipelines. The team is a blend of Python backend engineers, ML
engineers, QA (manual and automation), a data engineer, and data scientists. Our shared
mandate is to take experimentation from our data scientists and turn it into robust, production-
grade systems, either as standalone services or integrated into wider platforms.
You will build and operate production backend systems alongside senior engineers and a hands-
on engineering manager, owning your work end to end and growing into the harder problems.
The systems you work on are either part of a larger SaaS backend or run as standalone services:
batch and event-driven pipelines, stream consumers, feature stores, REST APIs, scheduled jobs
and background workers.
stores, scheduled jobs, background workers
work on
levels, and concurrency
Interview stages
1. HR interview (30 minutes) — initial conversation about your experience, career goals, and
cultural fit
2. Technical interview (1 hour) — in-depth technical interview covering relevant skills
3. Technical design interview (1.5 hours) — system and database design
4. Final interview (30 minutes) — a discussion with the hiring manager, focusing on role-
specific competencies and alignment with company values
5. Reference check & job offer
Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.
Спроси Хайрика про вакансию
Сверит с твоим резюме, подскажет вилку и вопросы на собесе.