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Full-time   /   Others/Any
Job Location
Noida, Uttar Pradesh, India
Salary Range
INR 1,500,000 - INR 3,500,000 (Annually)
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Company: Convegenius

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product

Business Model: B2G

Funding Stage: Series C

Industry: EdTech

Salary Range: ₹ 15-35 Lacs PA

Job Description

Experience: 4 - 7 Years

Location: Noida - 5 Days WFO

Skills: Python, Django, React, Open edX XBlocks, Microservices, System Architecture, API’s, WCAG accessibility, ORM, Middleware, DevOps, CI/CD and Learning Analytics: xAPI / IMS Caliper.

EdTech standards: xAPI, SCORM, LTI 1.3

Role Overview

As the Fullstack Engineering Lead (Python/Django + React) at ConveGenius, you will lead the development,

customisation, and maintenance of the Open edX-based learning platform that serves millions of learners across

India. The core tech stack is Python with Django (backend) and React (frontend). You will ensure the platform is

scalable, secure, and reliable while guiding engineering teams, managing deployments, and delivering

high-quality accessible learning solutions.

Key Responsibilities

  • Lead fullstack development, customisation, and maintenance of the Open edX-based platform using

Python (Django) on the backend and React on the frontend, serving millions of learners across India.

  • Own backend development using Django and Python: models, APIs, celery tasks, middleware, and

edx-platform core components.

  • Build and maintain React-based frontend components and UI features; customise and extend Open edX

using XBlocks, plugins, and platform APIs to meet product and government requirements.

  • Design and maintain system architecture: APIs, microservices, and service integrations within the Open

edX ecosystem.

  • Establish and manage DevOps practices: CI/CD pipelines, containerised deployments

(Docker/Kubernetes), and cloud infrastructure.

  • Define and enforce code quality standards, test automation, and system reliability benchmarks across the

engineering team.

  • Lead technical teams: sprint planning, code reviews, architecture decisions, and cross-functional

stakeholder management.

  • Manage platform deployments and cloud infrastructure: scalability planning, performance tuning, and

incident response.

  • Integrate Open edX with identity, assessment, and AI systems including SSO, verifiable credentials, and

LTI providers.

  • Drive platform scalability and reliability to support high-concurrency usage from learners across diverse

devices and networks.

  • Deliver high-quality learning solutions aligned with EdTech standards: xAPI, SCORM, LTI 1.3, and

accessibility requirements.

Must-have Skills

  • Strong experience in fullstack development with Python (Django) and React as the primary tech stack

— these are mandatory requirements

  • Hands-on experience with Open edX platform implementation, customisation, and maintenance
  • Strong knowledge of system architecture, APIs, and microservices
  • Experience with DevOps practices, CI/CD pipelines, and cloud deployments
  • Knowledge of test automation, code quality, and system reliability
  • Experience leading technical teams and driving project delivery
  • Strong problem-solving, stakeholder management, and communication skills
  • Experience with scalable learning platforms and EdTech solutions is preferred

Preferred Skills

  • Open edX XBlocks: custom block development, plugin architecture, and platform extension patterns
  • LTI 1.3 and SCORM: learning tool interoperability and content packaging standards
  • Tutor deployment: containerised Open edX deployment and management at scale
  • Django at depth: ORM, middleware, REST framework, and celery task queues
  • Indic language content delivery: multilingual LMS configuration and Unicode handling
  • WCAG accessibility: implementing accessible learning interfaces for diverse learners
  • Cloud deployments on NIC/SDC: government infrastructure constraints and compliance
  • xAPI / IMS Caliper: learner analytics event standards and data streaming pipelines

Qualifications

  • B.Tech / B.E. / MCA / MSc Computer Science or equivalent.
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