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

MMDSmart Ltd Bulgaria • Georgia


No Relocation

Posted: September 11, 2026

Job Description

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.

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 h...

What 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
  • AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools
  • Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations

Will be a plus:

  • CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging.
  • Voice stack: WebRTC, SIP, media servers, or CPaaS APIs 
  • API gateway and microservices integration; GraphQL federation.
  • Kubernetes, Docker, CI/CD ownership, infrastructure-as-code.
  • Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations.
  • Internal tooling, evals or automation built on LLM APIs.
  • Open-source contributions, especially in Go.


What you get:

  • An AI-first engineering environment where AI is part of real production development;
  • The opportunity to use AI to work across the full stack and expand beyond your primary expertise;
  • Work on high-load communication products with real business impact;
  • A team where Senior Engineers influence technical decisions and architecture;
  • Remote work.

Additional Content

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.

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 h...

What 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
  • AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools
  • Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations

Will be a plus:

  • CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging.
  • Voice stack: WebRTC, SIP, media servers, or CPaaS APIs 
  • API gateway and microservices integration; GraphQL federation.
  • Kubernetes, Docker, CI/CD ownership, infrastructure-as-code.
  • Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations.
  • Internal tooling, evals or automation built on LLM APIs.
  • Open-source contributions, especially in Go.


What you get:

  • An AI-first engineering environment where AI is part of real production development;
  • The opportunity to use AI to work across the full stack and expand beyond your primary expertise;
  • Work on high-load communication products with real business impact;
  • A team where Senior Engineers influence technical decisions and architecture;
  • Remote work.