Backend & Platform Engineer

We aren't automating scripts; we're deprecating the era of manual-heavy testing entirely. TestMu AI is building the world's first AI-native platform where agentic intelligence autonomously plans, authors, and self-heals the entire quality engineering lifecycle. This is a backend-first role. You'll spend most of your time building the real backend systems, services, APIs, and distributed infrastructure that power an AI-native platform, and you'll own how they deploy, scale, and stay reliable.

The core responsibilities for the job include the following:

Backend Development (70%):

• Design and build scalable backend services and APIs (REST / gRPC) for AI and agentic workflows.
• Architect distributed, event-driven systems: microservices, queues, and async processing at scale.
• Model data well: schema design, indexing, query optimization, transactions, and caching.
• Write clean, well-tested, high-performance software in Golang, Python, or Node.js .
• Own features end-to-end
• from design and trade-offs to correctness, performance, and reliability.

Infrastructure and Deployment / DevOps (30%):

• Containerise and deploy your own services with Docker, Kubernetes, and CI/CD.
• Operate in the cloud (AWS, Azure, or GCP).
• You ship, monitor, and scale what you build.
• Own reliability: observability, alerting, and safe rollouts/rollbacks for your services.

Requirements:

• You must have 3-4 years of backend or software engineering experience.
• You must have strong programming skills in Golang, Python, or Node.js real software, not just scripts.
• You must have hands-on experience with distributed systems, microservices, and API design (REST / gRPC).
• You must have solid database skills: data modeling, query optimization, SQL, and NoSQL.
• You must have working DevOps depth in Docker, Kubernetes, CI/CD, and a cloud platform, enough to deploy and operate your own services.

Skills

Golang, Java