Senior Software Architect - Data Platform & AI/ML
Tasks
- Architect scalable AI solutions
- Build API-based integrations
- Build machine learning models
- Build production transformation code
- Conduct code reviews
- Configure automated testing and security scanning
- Create CI/CD pipelines
- Create training materials and documentation
- Define data platform architecture
- Design data transformation pipelines
- Develop AI powered software products
- Develop LLM applications
- Develop MCP servers
- Develop model APIs
- Establish data security architecture
- Implement access controls and retention policies
- Implement authentication and authorization
- Implement backend APIs and services
- Implement caching
- Implement data quality and observability
- Implement incremental loading
- Mentor junior developers
- Optimize performance
- Package models as APIs
- Set up monitoring and alerting
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Agent systems | Agentic Systems | Alerting | Authentication | Authorization | Automated testing | Backward Compatibility | BigQuery | C# | CI/CD | Caching | Data Catalog | Data Lakehouse | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Security | Data Warehousing | Databricks | Deployment Automation | Dimensional Modeling | Drift Detection | ELT | ETL | Feature Engineering | Feature Store | GitHub | Incremental loading | Java | LLM | LLM orchestration | Language Processing | Model Deployment | Monitoring | Multi-Agent | Multi-Agent Systems | Multimodal AI | Natural Language | Natural Language Processing | Performance Tuning | Prompt engineering | Python | Redshift | SQL | Schema drift | Schema drift detection | Schema evolution | Security Scanning | Snowflake | TypeScript | Visual Studio
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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