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Full Stack Engineer
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3 months ago
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Important information
Contract type:
Permanent
Salary:
₹1,500,000 – ₹3,500,000 / year
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
12 October 2026
What they need
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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