Senior Backend Engineer - JavaScript

Compensation: ₹20L – ₹32L • 0.01% – 0.2%

In 2024, Google selected LearnTube for its AI First Accelerator, further fueling our growth. Alongside investment from funds of visionaries like Reid Hoffman and Naval Ravikant, we set out on a mission to reimagine how billions will learn and grow.

Want to be the driving force behind our next wave of growth?

As a Senior Backend Engineer - JavaScript at LearnTube. ai you will ship the backbone that powers 4 million learners in 64 countries - owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

What You'll Do:

• Build and scale Node.js (TypeScript) microservices handling ~800 requests/second today, growing to 3x capacity within a year while holding sub-200ms p95 latency
• Power the quiz-scoring and AI-tutor engines that process millions of learning events every day
• Design scalable, secure backend systems using Postgres, MongoDB, Redis, and SQS
• Write efficient, non-blocking async code and profile the event loop, memory, and throughput for low-latency workloads
• Deploy containerized services via NGINX on AWS and GCP Kubernetes infrastructure
• Own GitLab CI/CD pipelines that let us ship to production several times a week
• Drive reliability toward 99.9% uptime with Prometheus and Grafana monitoring
• Build LLM inference, streaming, and vector-search endpoints in collaboration with the AI team
• Take features from design to production within two weeks

Must-Have Requirements:

• 4+ years of backend development in Node.js with TypeScript in production
• Hands-on experience with a production framework such as NestJS, Express, or Fastify
• Deep understanding of the event loop, async patterns, and Node.js performance tuning
• Hands-on experience with Docker and container orchestration
• Production experience with GitLab CI/CD and AWS (EC2, S3, SQS) or GCP (GKE/Compute)
• SQL/NoSQL expertise (Postgres, MongoDB) and solid system design fundamentals
• Experience designing REST/GraphQL APIs and event-driven / message-queue based architectures

Nice-to-Have Skills:

• Kubernetes at scale, Terraform
• Kafka, BullMQ, or other queue/streaming systems
• WebSockets or server-sent events for real-time features
• AI/ML inference services experience (LLMs, vector databases, streaming responses)
• Observability tools (Prometheus, Grafana, OpenTelemetry)

How We Hire No take-home. No whiteboard trivia. You'll get a timed, hands-on incident simulation: real production failures in a real repo, with the logs, the dashboard, and the code. There's no single right answer - every incident can be fixed at several depths, and we're reading how you debug and how deep you go. Here's the link for you to get started on it - https://workat.learntube.ai/tech/javascript

The Team Google's Top 20 Startups to Watch. Google AI First Accelerator '24. Backed by funds of Naval Ravikant, Reid Hoffman, and founders/CXOs from Udemy, Flipkart, Jupiter, PayU, Edmodo & Inflection AI. Featured on CNBC-TV18. 11–50 people building something that changes how people learn, permanently.

Why work with us: state-of-the-art generative AI on a backend you own. Full ownership from ideation to deployment. Direct access to founders and advisors, including the CTO of Inflection AI. Three years of growth packed into one, and Monday morning meetings you actually look forward to.