Backend Heavy - Platform Engineer

BACKEND HEAVY -PLATFORM ENGINEER Engineering

• Platform 📍 Noida 🕐 Full-Time 🧭 2-3 Years 🧩 Backend 60-70% / DevOps 30-40% THE MISSION 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. THE PILLARS OF IMPACT 🚀

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. MUST-HAVES — DO NOT APPLY UNLESS YOU HAVE THESE – 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. THE BAR — WHAT YOU MUST PROVE 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.