Senior Backend Engineer

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🕒 February 12

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Xsolla

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Xsolla is a company specializing in game commerce solutions. It provides tools and services that empower video game developers to monetize, distribute, and fund their games, helping them to increase revenue at any stage of development. Xsolla offers a wide range of solutions such as customizable web shops, payment processing, fraud prevention, and social packages to enhance player engagement. With over 19 years of experience in the video game industry, Xsolla collaborates with developers and publishers globally to manage compliance, taxes, and operational complexities, allowing them to focus on connecting with their players. Their services are designed to work with popular game development platforms like Unity, Unreal, and Cocos Creator, supporting a wide array of local payment methods worldwide.

📋 Description

• Design, build, and maintain backend services that power core products and platforms. • Develop event-driven systems using Go and Kafka. • Build scalable microservices in containerized environments using Docker and Kubernetes. • Drive architecture decisions that improve performance, resiliency, and maintainability. • Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. • Own your code in production, monitor, debug, and continuously improve service performance and reliability. • Write automated tests and follow CI/CD best practices to ensure high-quality deployments. • Participate in code reviews, technical discussions, and knowledge sharing across teams. • Participate in on-call rotation to support production systems and respond to incidents.

🎯 Requirements

• 5+ years of backend development experience in Go or a similar language. • Strong understanding of microservices architecture, distributed systems, and event-based communication. • Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). • Solid understanding of observability, monitoring, and performance optimization. • Ability to troubleshoot production issues, analyze system behavior, and drive resolution.