Senior Backend Engineer (Go)

ABOUT YOU

You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.

ABOUT US

Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

For more information, visit xsolla.com.

Responsibilities

• Build and ship reliable, secure and scalable backend services in Go.
• Own features from design to deployment, with attention to maintainability, security and performance.
• Design and build APIs and SDKs used by Business Account frontends, microfrontends and other Xsolla teams.
• Build and maintain identity flows such as user creation, login, MFA, SSO and token validation across multiple accounts and clients.
• Design multi-tenant services with clear data isolation and per-account configuration.
• Take part in architecture discussions and write or review ADRs.
• Refactor legacy code to improve structure and efficiency without breaking existing features.
• Own production readiness with Datadog: dashboards, monitors and alerts, APM and tracing, log analysis, incident response and root cause analysis.
• Write clear, testable, well-documented code, with a focus on quality and automation.
• Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
• Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
• Work with product, frontend, design and platform teams to agree on goals and deliver end to end.
• Contribute to technical scoping and estimation.
• Reduce technical debt and keep improving the developer experience.
• Mentor engineers and give constructive code reviews.

Requirements

• 6+ years of professional software engineering experience.
• 2+ years of hands-on Go experience in production.
• Strong experience with PostgreSQL and/or MySQL, including schema design and query performance.
• Experience designing and building REST APIs (gRPC is a plus).
• Hands-on experience with Docker, Kubernetes and Helm.
• Experience with message brokers such as RabbitMQ or Kafka.
• Comfortable with Git and CI/CD pipelines (GitLab preferred).
• Solid understanding of authentication and authorization basics: OAuth2, JWT, sessions and tokens.
• Hands-on experience with observability tools, ideally Datadog: metrics, logs, APM/traces and alerting.
• Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
• Basic understanding of cloud platforms (Google Cloud Platform preferred).
• Working knowledge of frontend technologies, especially React.
• Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders.

Nice to have

• Experience building scalable, secure login or identity platforms (Login-as-a-Service).
• Deep knowledge of OAuth2, OIDC, SAML, MFA, and session and token management.
• Experience with social login, SSO and federated identity.
• Experience designing multi-tenant identity systems with isolation and configurability.
• Experience delivering developer-friendly APIs, SDKs and integration docs.
• Experience with OpenTelemetry, SLOs and error budgets.
• Experience with B2B platforms, partner portals or marketplaces.
• Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.