Senior Engineer (AI-Assisted Development) - Cloud CPaaS/CCaaS Infrastructure

We build cloud CPaaS/CCaaS infrastructure—the routing, messaging, and real-time layer that contact centers run on. High traffic, event-driven services, and a UI that must 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.

Requirements

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.