Senior Full Stack Engineer, AI-First (Go / React)

We build cloud CPaaS/CCaaS infrastructure - the routing, messaging and real-time layer that contact centres run on. High traffic, event-driven services, and a UI that has to stay correct while thousands of live conversations move through it.

We're hiring a senior engineer for a team where AI agents are part of the normal development loop, not a pilot. You'll own features end-to-end across a Go backend and a React/TypeScript frontend, and you'll be accountable for everything you ship — including the parts an agent wrote.

This is not a prompt-engineering role. It's a senior engineering role where AI-assisted delivery is the default working method.

RequirementsWhat will you do at MMDSmart?

• Own features end-to-end across Go backend and React/TypeScript frontend;
• Design and develop solutions for high-load and distributed production systems;
• Use AI coding agents as an integral part of your everyday development workflow;
• Guide AI agents, review and verify their output, and take ownership of the final result;
• Build and evolve backend services, APIs, frontend functionality, and external integrations;
• Investigate complex production issues and drive them to resolution;
• Contribute to architecture decisions, technical discussions, and system improvements;
• Help improve our codebase and development practices to make AI-assisted engineering more effective.

You are a perfect match if you have:

• 5+ years of professional software engineering experience and strong Senior-level engineering fundamentals;
• Strong hands-on production experience with Go - 4 years of experience;
• Practical experience with React and/or TypeScript; you don’t need to be a frontend expert, but you should be comfortable working with frontend code;
• Hands-on experience with high-load and distributed production systems;
• Experience designing, building, and debugging production services and APIs;
• Hands-on experience with AI coding tools such as Claude Code, Cursor, Windsurf, Copilot, or similar - beyond simple autocomplete;
• Ability to use AI to work effectively across different parts of the stack while critically reviewing and verifying its output;
• Strong engineering judgement, ownership, and ability to make technical decisions independently.

Our Tech Stack:

• Backend: Go, microservices, REST APIs, GraphQL
• Frontend: React, TypeScript, Zustand / Redux Toolkit, WebSocket / SSE
• Event-driven: Kafka, NATS / JetStream, RabbitMQ, event-driven architecture
• Data: PostgreSQL, Redis, MongoDB
• Infrastructure: GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code
• Observability & Performance: structured logging, metrics, tracing, profiling, high-load and concurrency tooling