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Senior Backend Engineer - FastAPI
Senior Backend Engineer - FastAPI
LearnTube.ai's logo

Senior Backend Engineer - FastAPI

Soham Purandare's profile picture
Posted by Soham Purandare
3 - 6 yrs
₹18L - ₹32L / yr (ESOP available)
Remote, Mumbai
Skills
FastAPI
skill iconMongoDB
skill iconPython
skill iconDocker
SQL
NOSQL Databases
skill iconRedis
skill iconPostgreSQL
Celery
AWS Simple Queuing Service (SQS)

Required Core Tech Stack:

We're looking for engineers with hands-on experience across most of the following technologies:

  • Python Backend Development (3+ years)
  • FastAPI (2+ years of production experience required)
  • PostgreSQL
  • MongoDB
  • Redis
  • Docker
  • Celery or equivalent async task queues
  • REST APIs & Microservices
  • AWS/GCP
  • GitLab CI/CD


The selected Sr. Backend engineer 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


Why LearnTube?

  • Build AI products at global scale – Your work will power learning experiences for 4M+ learners across 64 countries.
  • Work directly with experienced founders – Collaborate closely with founders who are deeply involved in product and engineering decisions, giving you ownership and a direct impact on the product roadmap.
  • Learn fast – Join a high-performing team where you'll own features end-to-end and solve challenging backend and distributed systems problems.
  • Recognized AI startup – LearnTube is a Google Top 20 AI Startup and part of Google's AI First Startup Accelerator, with access to cutting-edge AI technology and mentorship.


Why Work With Us? 


At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

  • Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
  • Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
  • Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
  • Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
  • Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
  • Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.
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About LearnTube.ai

Founded :
2019
Type :
Product
Size :
20-100
Stage :
Raised funding

About

At LearnTube, we're reimagining how the world learns making education accessible, affordable, and outcome-driven using Generative AI. Our platform turns scattered internet content into structured, personalised learning journeys using:


  • AI-powered tutors that teach live, solve doubts instantly, and give real-time feedback
  • Frictionless delivery via WhatsApp, mobile, and web
  • Trusted by 3.2 million learners across 64 countries


Founded by Shronit Ladhani and Gargi Ruparelia, both second-time entrepreneurs and ed-tech builders:


  • Shronit is a TEDx speaker and an outspoken advocate for disrupting traditional learning systems.
  • Gargi is one of the Top Women in AI in India, recognised by the government, and leads our AI and scalability roadmap.


Together, they bring deep product thinking, bold storytelling, and executional clarity to LearnTube’s vision. LearnTube is proudly backed by Google as part of their 2024 AI First Accelerator, giving us access to cutting-edge tech, mentorship, and cloud credits.

Read more

Tech stack

Generative AI

Candid answers by the company

What does the company do?
What is the location preference of jobs?

At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

  • AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
  • Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.

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