Tasks:
- * Architect full stack analytics systems
- * Build backend services microservices and APIs
- * Communicate architecture decisions and tradeoffs
- * Design and optimize SQL and NoSQL data models
- * Develop data visualization interfaces and dashboards
- * Use AI tools to accelerate engineering and analytics
Perks/Benefits:
Skills/Tech stack required:
[Agentic AI] [AI/LLM] [AI/LLM tools] [Angular] [API Development] [AWS] [Azure] [Big Data] [Big data architecture] [Cloud Computing] [Cloud platform] [Data Architecture] [Data Pipelines] [Data Visualization] [Distributed Computing] [DynamoDB] [Google Cloud] [Google Cloud Platform] [Kafka] [LLM integration] [LLM tools] [Microservices] [Microsoft SQL] [Microsoft SQL Server] [MongoDB] [MySQL] [Node.js] [NoSQL] [PostgreSQL] [Python] [RabbitMQ] [React] [Redis] [SQL] [SQL Server] [System design]
Educational requirements:
[Bachelor of Science] [Master's Degree] [PhD]
Role(s):
[Developer] [Full Stack Developer] [Senior Full Stack Developer] [Stack Developer]