Tech Lead (Go)

• 7+ years of software engineering experience.
• Strong commercial experience with Go (Golang).
• Strong backend and software engineering background.
• Experience designing scalable architectures and distributed systems.
• Strong understanding of microservices architecture and asynchronous communication patterns.
• Solid experience with PostgreSQL, Redis, and REST APIs.
• Experience with message brokers such as RabbitMQ, Kafka, or similar.
• Experience with Docker and CI/CD pipelines.
• Experience leading engineers and driving technical and architectural decisions.
• Strong hands-on approach - you are comfortable staying close to the code and contributing to production development.
• Strong understanding of engineering best practices, code quality, testing, and system reliability.

• Experience using AI development tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development.
  
  Nice to Have
• Experience with Kubernetes and GitOps.
• Experience building high-load or high-availability systems.
• Experience with event-driven architectures.
• Experience with Web3, blockchain, fintech, or other transaction-heavy products.
• Experience integrating LLM APIs or AI capabilities into production products.
• Experience with TypeScript / Node.js or other backend technologies.

We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality.

This is a hands-on role - you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges.

You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers.

Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems.

We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity.

• Lead the technical direction of the team and own key architecture decisions.
• Design and develop scalable backend services and APIs using Go.
• Stay hands-on with production code and solve complex technical challenges.
• Design reliable, scalable, and maintainable distributed systems.
• Lead code reviews and maintain high engineering standards across the team.
• Improve system performance, reliability, observability, and scalability.
• Identify technical risks, bottlenecks, and areas for improvement.
• Mentor Software Engineers and support their technical growth.
• Help increase team productivity and improve engineering efficiency.
• Collaborate closely with Product, QA, and other engineering teams.
• Continuously improve development processes, engineering practices, and delivery quality.
• Actively use AI-powered development tools to accelerate engineering workflows and improve code quality.