Django Backend Developer (RARR Job 6291)

We are building an intelligent, IoT and solar-based analytics and asset management application. We are looking for a sharp Django backend developer to build and maintain robust RESTful APIs, integrate with high-throughput IoT data pipelines, and help architect a highly scalable backend infrastructure. If you are eager to work on real-time hardware data streams and production machine learning pipelines, this role is for you. Bonus: experience with Go and/or AWS DevOps will significantly strengthen your candidacy.

What You'll Build

• Design and build RESTful APIs in Django REST Framework for the mobile and web platforms
• Integrate with the MQTT broker and Kafka consumers to handle real-time inverter data streams
• Write clean, tested Python services for device onboarding, alert management, and performance analytics reporting
• Maintain PostgreSQL schema - device registry, user management, alert history, ML metadata
• Build and maintain API endpoints consumed by Flutter (mobile) and Next.js (web) front-ends
• Write async Celery tasks for scheduled jobs - PR computation, daily report generation, data syncs
• Work with the ML engineer to expose model inference via FastAPI endpoints
• Document APIs using OpenAPI/Swagger and maintain developer-facing documentation

Required Skills

• Python 3.10+ - strong fundamentals, clean code, testing with pytest
• Django 4.x + Django REST Framework - models, serializers, viewsets, permissions, throttling
• PostgreSQL - query optimisation, indexing, migrations with Django ORM
• REST API design - versioning, authentication (JWT/OAuth2), pagination, error handling
• Git - branching, pull requests, code review workflows
• Basic Linux command line - deployment, log inspection, SSH
• Familiarity with Docker - containerised local development

Bonus Skills (Good to Have)

• Go (Golang) - even basic familiarity or self-taught side projects. We run Go for high-throughput stream consumers.
• AWS basics - EC2, RDS, S3, IAM, or experience with any cloud provider
• DevOps awareness - CI/CD pipelines, GitHub Actions, Dockerfile authoring
• MQTT / messaging systems - basic understanding of pub/sub, queues
• Redis - caching, rate limiting, session management
• ClickHouse or any time-series database - querying, data modelling

You'll Thrive Here If You

• Are comfortable reading documentation and figuring things out - we move fast
• Care about code quality and want to learn proper API design, not just 'make it work'
• Are curious about IoT, ML systems, or energy tech - this is a mission-driven product
• Communicate clearly in English and Hindi - async-friendly team
• Can own a feature end-to-end: spec → build → test → deploy

What You Get

• Direct mentorship from senior engineers working on production ML + IoT systems
• Exposure to Go, Kafka, ClickHouse, Kubernetes - rare at this experience level
• Flat team structure - your code ships to production, not to a review backlog
• Opportunity to grow into a senior or tech-lead role as the platform scales