
// Open Role at UserWise
Lead the backend systems for live games with millions of daily active users. Drive performance, scalability, and reliability, owning everything from database schema to incident response for high-traffic titles.
We're looking for a Principal Server Engineer to own the backend systems powering our live games - services currently supporting 1M+ DAU. You'll be responsible for performance, scalability, and reliability at the core of our infrastructure, working closely with the engineering team on everything from schema design to incident response.
Experience: 8+ years
Nice to Have
Requirements
Crucial
Important
Benefits
Design, build, and maintain Go/Python backend services for live, high-traffic game titles. Own database schema design and query performance across PostgreSQL systems. Drive horizontal scaling strategy, optimizing CPU/memory footprint and reducing lock contention. Profile and resolve memory leaks, CPU spikes, and deadlocks in production. Lead root-cause investigations for performance issues and outages. Architect and maintain in-memory caching/state layers (Redis/KeyDB/Memcached). Design and run load tests to surface breaking points ahead of release. Deep Go & Python expertise – language internals, execution models, and performance tuning (goroutine management, GC tuning, zero-allocation techniques). Strong PostgreSQL fluency – scalable schema design, query plan analysis, index strategy optimization, with real examples of resolving bottlenecks via data layout or query architecture changes. Proven experience scaling systems supporting 350k+ DAU, with a horizontal-scaling-first philosophy (efficient serialization/deserialization via Protobuf/MsgPack, reduced lock contention). Hands-on profiling experience – identifying and resolving memory leaks, CPU spikes, and deadlocks. At least 2 concrete examples of complex production performance issues or outages, including root cause analysis and resolution methodology. At least 2 released production projects as a core backend engineer handling live traffic. Hands-on experience with Redis, KeyDB, or Memcached – caching, rate-limiting, state management, including cache stampede mitigation, serialization overhead, and eviction policy design. Solid TDD/BDD judgment and practical load-testing experience (e.g., Artillery). Practical experience with the Nakama framework – custom Go/Lua modules, matchmakers, storage engine, real-time multiplayer sockets. Practical GCP/Google App Engine experience – deploying, monitoring, and scaling serverless/container services.