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Job Description

About Cubelearn

Cubelearn is a fast-growing compliance education startup using AI and modern technology to solve real problems in regulated learning. In the last three years, we've helped over 30,000 learners across India build and maintain compliance-ready skills. We're building systems that are reliable, scalable, and practical, and we're looking for engineers who want real ownership and visible impact, not just tickets and stand-ups.


Senior Backend Engineer

What You'll Do

  • Build and operate distributed backend systems in Go that support high-scale, time-critical learning and communication workflows
  • Take ownership of services end to end, architecture, data models, APIs, testing, deployments, and production reliability
  • Work closely with product and frontend teams to debug issues quickly and ship meaningful improvements
  • Make pragmatic technical decisions in a startup environment where speed and clarity matter
  • Use AI tools to prototype, automate repetitive work, and move faster without cutting corners


What We're Looking For

  • 7+ years of backend engineering experience, ideally in Go or another statically typed language
  • Experience building and running systems in cloud environments like AWS or GCP
  • Strong fundamentals in relational databases (MySQL preferred), including performance and schema design
  • Comfort owning production systems, monitoring them, and responding when things break
  • A startup mindset: bias for action, comfort with ambiguity, and pride in shipping things that work


Why Cubelearn

  • Real ownership and influence over technical decisions
  • Small, focused team with minimal process overhead
  • Problems that matter, used by thousands of real learners
  • Opportunity to help shape the backend foundations as we scale

Bachelor Of Technology (B.Tech/B.E), Master in Computer Application (M.C.A), Bachelor Of Computer Application (B.C.A), Post Graduate Diploma in Computer Applications (PGDCA)

More Info

Job Type:
Function:
Employment Type:
Open to candidates from:
Indian

Job ID: 143733967

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