- Design, develop, and deploy new features across front-end (React/Next.js) and back-end (Django, Python) systems.
- Improve system scalability, performance, and resilience within a Kubernetes-based cloud environment.
- Collaborate with data scientists and DevOps engineers to implement algorithms and integrate third-party services (e.g., DroneDeploy).
- Develop and manage PostgreSQL-backed data layers and Azure-based file/media storage systems.
- Build and maintain async workflows using Redis, Prefect, and task queues.
- Contribute to architecture decisions and CI/CD processes for feature delivery and monitoring.
- Proficiency in Python (Django) and JavaScript/React (or similar frontend framework).
- Experience with REST APIs, NGINX, and PostgreSQL.
- Familiarity with Kubernetes, Redis, cloud platforms (preferably Microsoft Azure), and containerized deployments.
- Understanding of asynchronous task systems (e.g., Celery or Prefect).
- Strong grasp of software architecture principles and performance optimization.
- Experience with IoT data systems.
- Prior work with GIS/mapping interfaces or real-time dashboards.
- Background in environmental tech or industrial monitoring platforms