Senior Engineer (AI-Assisted Development) - Cloud CPaaS/CCaaS Infrastructure
Job Description
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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.
You’ll join 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 AI 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 judgment, 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-center 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 judgment 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.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card.
Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development: Benefit from free educational events & courses, and English classes with native speakers.
Your Career: Focus on your professional development in a supportive environment.
Work-Life Balance: Choose your working format—remote, office-based, or hybrid—and engage in team-building activities.
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MMSmart
View Company ProfileMMSmart (operating at mmdsmart.com) is a technology platform focused on smart mobility solutions, specializing in the development of advanced traffic management and intelligent transportation systems. While specific details about its founding or core technology remain undisclosed, the platform appears to target urban and transportation sectors by leveraging data-driven approaches to optimize traffic flow, enhance road safety, and improve overall mobility infrastructure. The underlying technology likely integrates IoT sensors, AI-driven analytics, and real-time data processing to deliver actionable insights for city planners, traffic authorities, and transportation stakeholders. This enables municipalities and logistics providers to streamline operations, reduce congestion, and minimize environmental impact. Though no explicit funding or investor details are available, the company’s focus on smart city technologies suggests a growing emphasis on scalable, data-centric solutions within urban development.
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