SD Solutions
USD 120K-184K (estimate) Mid-level Full Time Found 5d ago
Tasks
- Architect and manage data storage solutions
- Build and optimize data pipelines and ETL workflows
- Build backend services supporting AI features
- Collaborate with product, frontend, and AI teams
- Design and develop scalable backend services
- Design and implement REST APIs
- Develop, test, and optimize AI prompts
- Ensure system performance, reliability, and scalability
- Implement monitoring and observability
- Integrate AI systems and LLM APIs
- Participate in system architecture discussions
- Work with GCP services including Cloud Run, Cloud Tasks, Pub/Sub, BigQuery
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | AI systems | Async Processing | Batch and Stream Processing | BigQuery | CI/CD | Cloud Run | Cloud Tasks | Data Modeling | Distributed Systems | Docker | Driven systems | Event Driven | Event Driven Systems | GCP | Kafka | ML pipelines | Message Queues | MySQL | PostgreSQL | Prompt engineering | Pub/Sub | Python | Query Optimization | RESTful APIs | SQL Databases | Scalable Architecture | Stream processing
Education
Roles
Backend | Backend & Data Engineer | Data Engineer | Engineer
Regions
States
Cities
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