Backend Engineer

Why join

• ▹Design, build, optimize and review real production systems, not side projects or outsourced work
• ▹Build the backend for AI products, including LLM inference services, agent workflows and data pipelines
• ▹AI-assisted development across the team, with unlimited Claude and Codex usage
• ▹A flat, young team with mentorship, focused on problem solving and shipping

What you will do

• ▹Design, code and operate backend services across the full lifecycle: requirements review, solution design, development, load testing, release and incident review
• ▹Build core business systems, including APIs, async jobs, message consumers, data services and internal admin platforms
• ▹Contribute to middleware, shared components and platform capabilities that cut duplicate work and speed up development
• ▹Help build monitoring, logging, alerting, rate limiting, degradation and disaster recovery to keep services stable and within SLA
• ▹Work with product, frontend, AI, data and infrastructure teams to turn business needs into stable, scalable, maintainable services

What we look for

• ▹Strong command of at least one of Go, Python, Java, Rust or C++, with solid algorithms and data structures, and comfort with Linux development and network troubleshooting
• ▹Proficiency with common backend components such as MySQL/PostgreSQL, Redis and Kafka/RabbitMQ
• ▹Understanding of RPC, microservices and distributed systems fundamentals, including service decomposition, cache consistency, idempotency, retries and rate limiting
• ▹Cloud-native basics with Docker and Kubernetes, including deployment, scaling, log monitoring and distributed tracing
• ▹Experience diagnosing production incidents, tuning performance or improving stability, using logs, metrics and traces
• ▹You use AI tools to work faster while still judging code quality and system risk for yourself

Nice to have

• ▹Experience building LLM inference services, RAG or agent workflows
• ▹Experience with real-time computing or big data tools such as Flink, Spark, ClickHouse or Doris
• ▹Experience with Kubernetes, CI/CD, observability, reliability engineering or service governance

Growth path

An architect who can own systems end to end

Tech stack

• Go
• Gin
• Python
• MySQL
• PostgreSQL
• Redis
• Kafka
• RabbitMQ
• Docker
• Kubernetes