Full-Stack Engineer

• Experience with React Native for mobile development.
• Interest or background in gaming, payments, or commerce systems.
• Exposure to adtech or offer monetization platforms.
• Familiarity with Kafka or equivalent streaming platforms.
• Familiarity with Redis or other in-memory data stores.
• Experience with cloud platforms (e.g., AWS, GCP, or Azure).
• Exposure to ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
• Any experience working on internal platforms or developer-facing tools.

Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.

Equal Employment Opportunity Statement:

Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.

We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.

Criminal History Consideration:

For the Lead Software Engineer (Mobile Native), we will conduct a background check that may include the following.

Criminal history check.

Employment verification.

• 2–4 years of full-stack development experience.
• Proficiency in React and modern frontend development practices.
• Backend experience in Go or a similar language.
• Understanding of microservices architecture and event-based communication patterns.
• Exposure to container orchestration and cloud infrastructure (e.g., Kubernetes, Docker).
• Basic understanding of observability, monitoring, and performance optimization.
• Ability to assist in troubleshooting production issues and analyzing system behavior.