Backend Engineer
Role details
Job location
Tech stack
Job description
You'll own the backend for a live mobile F2P game and the AI agentic platform that powers how we operate it. Feature releases, live ops, monetization, analytics pipeline, reliability. Senior IC with real ownership from day one and a path to platform / tech lead as we scale. You work with our production systems serving real players and real revenue. The primary stack is TypeScript/Node.js (Fastify) with MongoDB, ClickHouse, Redis, and RabbitMQ. The AI tooling layer is Go. We use AI heavily as part of how we work. Claude agents write production code alongside us. If you're a strong backend engineer who's comfortable with that mode, you'll fit right in., * Game backend: API server, realtime (Socket.io), analytics ingestion, cron jobs - all in one TypeScript monorepo
- AI agent platform: MCP server in Go bridging LLMs with our databases and third-party APIs
- External integrations: Slack, Discord, GitLab, Meta Ads, Google Ads, AppLovin, Apple App Store
- LLM routing: Anthropic, OpenAI, DashScope
- Production support for our live PvP mobile game, * Update your CV if needed, proofread, and fix any errors.
- Make sure your CV reflects and highlights the main skills required for the job.
- Take some time to research the company, try to understand their kind of games and work culture.
- Write a cover letter. This is your chance to draw their attention. Show why you're a good candidate, and you can show you have researched their company and why you're interested in applying.
- Make sure to include your portfolio link if you have one. Any open source projects might be of great value as well. If you don't have a portfolio, you should consider making one in the future.
Requirements
- 5+ years backend engineering
- TypeScript/Node.js at production scale. you've shipped & operated production services at scale
- MongoDB in production: replica sets, aggregation pipelines, transaction patterns
- ClickHouse: analytical queries, materialized views, joins at scale
- Kubernetes in production (we run k3s on GCP, deploy via Helmfile + GitLab CI)
Strongly preferred
- Go: comfortable reading and extending stdlib net/http services. Our MCP server is Go
- LLM API integrations (Anthropic, OpenAI)
- Mobile gaming backend: live ops, A/B test infrastructure, IAP validation
- RabbitMQ or similar async messaging
- OAuth/JWT/RBAC
Nice to have
- MCP (Model Context Protocol) - we use mark3labs/mcp-go
- F2P economy design / monetization backend experience
- Apple/Google Play Store API
- Agent systems or autonomous workflow background