Principal Software Engineer – Physical AI, Autonomy & Data Platform Engineering
Chicago, Illinois, United States
USD 159K-258K Senior-level Full Time
Tasks
- Architect streaming and batch data processing systems
- Conduct technical design reviews and engineering governance
- Design scalable cloud native ingestion pipelines
- Drive CI CD and automated testing for platform components
- Ensure data pipelines are fault tolerant observable secure and cost optimized
- Establish data lineage metadata governance standards
- Implement microservices and event-driven systems
- Lead engineering practices across distributed scrum teams
- Lead technical strategy for data ingestion and processing platforms
- Optimize distributed compute and storage for scalability and latency
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated testing | Azure | Batch Processing | CI/CD | Code Quality | Computer Vision | Computer Vision Pipelines | Cost Optimization | Data Governance | Data Lineage | Data Processing | Distributed Systems | Event Driven | Event-driven architecture | Flink | GCP | Infrastructure as Code | Java | Kafka | Kinesis | Machine Learning | Metadata Management | Microservices | Observability | Python | Release Management | Security | Spark Streaming | Streaming Data | Streaming data processing | Vision Pipelines | “as-code”
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