Senior Back-End Developer (Django & AWS) — UniCloud Unitronics

About UniCloud

UniCloud is Unitronics’ cloud-native Industrial IoT platform that powers real-time device connectivity, data analytics, and remote operations for customers worldwide. We process high-volume telemetry at scale and turn it into actionable insights for manufacturers and machine builders. If you love building reliable, high-performance services that run at scale in AWS, this is for you.

What you’ll do

• Build features end-to-end with Django and Django REST Framework: design APIs, data models, and services that are secure, scalable, and maintainable.
• Write clean, well-tested Python, following best practices for readability, reliability, and performance.
• Optimize data access via Django ORM and (when needed) raw SQL; tune queries and schema for performance.
• Own cloud delivery on AWS (EC2, S3, RDS, ElastiCache, Lambda, Kinesis, SQS, SNS, CloudWatch, and more): deploy, manage, and continuously improve our cloud footprint.
• Harden reliability & security while keeping cost-effectiveness in mind.
• Troubleshoot production: diagnose complex issues across services, infrastructure, and data layers; implement permanent fixes.
• Monitor & improve performance: establish metrics, dashboards, and alerts; proactively identify bottlenecks and optimize systems.
• Collaborate in a microservices & Kubernetes environment: contribute to architecture discussions, code reviews, and technical roadmaps.
• Mentor & elevate standards: share knowledge, champion best practices, and help the team level up.

Must-have skills & experience

• 3+ years building highly scalable SaaS / complex applications.
• 5+ years in back-end development with Python (Django) (Java experience is an advantage).
• 3+ years of hands-on AWS experience (EC2, S3, RDS, ElastiCache, Lambda, Kinesis, SQS/SNS, CloudWatch, etc.).
• Experience with microservice architecture managed by Kubernetes.
• Strong with PostgreSQL and Redis; ClickHouse is a significant plus.
• Comfortable working with AI capabilities (integrations, services, workflows).
• Proven track record of deep-diving into complex areas, analyzing systems, proposing solutions, and shipping changes.
• Bachelor’s in CS/Engineering (or equivalent); alumni of elite tech units with relevant experience welcome.
• Passion for clean architecture, high-quality code, and automated testing.
• Proactive, ownership-driven, and goal-oriented; excellent communication skills.
• Autodidact who loves learning and sharing with the team.

Nice to have

• Experience with EKS, Docker, Jenkins, and modern observability stacks (e.g., CloudWatch, DataDog).
• Familiarity with streaming/analytics stacks (e.g., Kinesis, Flink) and cost optimization practices in AWS.
• Exposure to industrial/edge/IIoT domains is a bonus.

How we work

• Pragmatic engineering culture: ship value safely, measure impact, iterate.
• High responsibility, strong collaboration, and room to lead initiatives.
• Real scale, real customers, real-world impact.