Senior Backend Engineer - FastAPI

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 Backend Developer 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:
At LearnTube, we’re pushing the boundaries to revolutionize how the world learns. As a Senior Backend Engineer, your roles and responsibilities will include:

• Shipping Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves (Applicants without these skills are unlikely to move forward):

• 3+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Observability: 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

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.