Tech Lead – Frontend Platform Team

Xsolla – User-Facing Experience Platform

Role Overview:

The Tech Lead for the Frontend Platform Team provides technical leadership for Xsolla’s core platform responsible for powering all user-facing experiences. This role combines deep engineering expertise with people leadership, guiding a team of approximately eight developers. The Tech Lead shapes the platform’s architecture, improves developer workflows, and ensures high-quality, scalable solutions that support storefronts, widgets, and other monetization-focused experiences used across the Xsolla

ecosystem. This position requires strong frontend and platform-level experience, the ability to lead complex technical initiatives, and the capability to support predictable, reliable

delivery.

Responsibilities:

Provide technical leadership for the Xsolla frontend platform, defining architecture, coding standards, and long-term technical direction.

Coach, mentor, and manage a team of ~8 developers, supporting professional growth and maintaining a strong engineering culture.

Partner closely with the other Tech Leads working on the same platform to ensure architectural alignment, consistent standards, and unified decision-making.

Oversee planning and execution of platform features and improvements, ensuring smooth delivery and high-quality outcomes.

Drive modernization, refactoring, and performance enhancements to keep the platform scalable, maintainable, and aligned with product goals.

Establish and enforce engineering best practices across coding, documentation, testing, and review processes.

Collaborate with product managers, designers, backend engineers, and platform teams to deliver cohesive partner-facing experiences.

Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability.

Leverage automation and AI-assisted tooling to accelerate development, improve consistency, and increase developer velocity.

Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements.

Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling.

Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders.

Foster alignment with other engineering teams on shared services, APIs, rendering pipelines, and platform interfaces.

Requirements:

8+ years of software development experience with strong expertise in modern frontend engineering at scale. At least 3 years in a similar tech lead

role.

Deep hands-on knowledge of React including component architecture, SSR patterns, RSC, and complex UI data

flows.

Proficiency with

Node.js and MongoDB for server-side functionalityStrong understanding of modern styling systems and theming approaches (vanilla-extract, styled-components, design tokens).

Solid TypeScript practices, including strict typing, shared contracts, and schema validation (Zod or equivalent).

Experience with Module FederationGood understanding of bundling and compilation, experience with webpack/rollup/vite/esbuildExperience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress).

Good understanding of backend integration patterns (REST, GraphQL, RPC-style APIs).

Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling.

Proven ability to lead engineers, own architectural decisions, and manage delivery for complex platform projects.

Nice to Have:

Experience building platforms or tooling used across multiple frontend teams (design systems, template engines, configuration frameworks).Experience with react-native/mobile experience

Knowledge of performance optimization strategies for client-side and server-side rendering.

Understanding of accessibility, internationalization, and semantic UI design best practices.

Experience developing SDKs, CLI tools, or developer-facing automation.

Familiarity with event-driven UI flows, real-time interfaces, or edge-rendering strategies.

Background improving developer platforms, observability stacks, or performance monitoring systems.

Comfort with UI-as-data approaches and leveraging AI-assisted/no-code tooling to accelerate feature delivery.

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