BACKEND HEAVY -PLATFORM ENGINEER

Engineering · Platform

📍 Noida 🕐 Full-Time 🧭 2-3 Years 🧩 Backend 60-70% / DevOps 30-40%

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.

Build the backend systems and platform services — in Go — that power an AI-native platform, and own how they scale, deploy, and stay reliable.

🚀 1. Backend Engineering (65%)

– Build custom platform services, tooling, and automation in Go — real solutions, not config or glue scripts.

– Design event-driven systems with Kafka, Redis, and MySQL.

– Develop and own APIs and service-layer logic end to end.

– Solve logical and automation problems by writing code, not wiring up off-the-shelf tools.

⚙️ 2. Infrastructure & DevOps (25%)

– Deploy and operate services on AWS and Kubernetes.

– Own service scaling, traffic management, and deployment pipelines.

– Handle AWS-level networking and platform performance.

🧠 3. Reliability & Incident Management (10%)

– Instrument services with APM and observability (New Relic, Sumo Logic, or similar).

– Lead incident response with strong SRE principles and resolve production issues swiftly.

– Build safeguards and strategies to prevent recurrence.

– You must be strong in Go (mandatory). Rust or Java is acceptable if you don't know Go; Python/JS only as a last resort.

– You must have real, production-grade coding ability — you build custom solutions, not just configure or script existing tools.

– You must know Kafka, Redis, and MySQL.

– You must have hands-on AWS and Kubernetes — service scaling, traffic management, deployment, and AWS-level networking.

– You must have observability/APM experience (New Relic, Sumo Logic, or similar) and reliability/SRE thinking.

– You must be able to explain service-layer architecture and reason through trade-offs effectively.

Backend Building: Built custom platform services or tooling in Go (or Rust/Java) that other engineers rely on.

Event-Driven Systems: Designed and shipped systems using Kafka, Redis, and MySQL at real scale.

Cloud & Scale: Deployed, scaled, and managed traffic for services on AWS and Kubernetes.

Incident Management: Led resolution of critical production incidents and instrumented services with APM.

Architecture Understanding: Explained complex service-layer architecture and defended design trade-offs.