Data-Driven Systems Architect
2 semanas atrás
We are seeking an experienced Platform Development Engineer to join our team in developing a cutting-edge, modular platform. The ideal candidate will have expertise in designing, deploying, and scaling data-intensive systems.
Key Responsibilities:- Design and implement core modules for end-to-end data ingestion, contextualization, and visualization.
- Develop sensor collection agents across heterogeneous systems.
- Implement real-time ingestion pipelines using technologies like Apache Kafka, NiFi, or Redis Streams.
- Persist and query multi-modal data across time-series, graph, and vector databases.
- Build secure, scalable RESTful and GraphQL APIs for exposing platform data models, sensor configuration, and reporting.
- Implement a unified Database Access Layer (DBAL) to abstract query logic across multiple databases.
- Experiment with standardized data interchange protocols for cross-database access.
- Develop low-latency data pipelines for transporting and transforming event streams.
- Collaborate with frontend engineers to connect visual mapping UI with back-end pipelines.
- Optimize database query performance using down-sampling, partitioning, and caching techniques.
- Design solutions for horizontal scaling and containerized deployment.
- Apply a creative problem-solving approach for rapid prototyping and iterative refinement.
- Strong proficiency in Node.js and Python programming languages.
- Hands-on experience with streaming technologies like Kafka, NiFi, or Redis Streams.
- Expertise in time-series, graph, and vector databases.
- Experience with agentic AI frameworks and multi-agent orchestration.
- Knowledge of cloud infrastructure, containerization, and DevOps practices.
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