Senior Software Engineer - Data Platform, AI Infrastructure
Redmond, WA, US; Mountain View, CA, US
USD 119K-261K Senior-level Full Time
Tasks
- Build backend services and APIs
- Build orchestration systems
- Define standardized infrastructure deployment and observability patterns
- Design distributed data platform components
- Diagnose and resolve distributed systems issues
- Enable data processing workflows with data engineering teams
- Ensure availability performance and data reliability
- Implement infrastructure as code and deployment systems
- Implement monitoring alerting and reliability systems
- Improve robustness cost efficiency and operational clarity
- Own platform lifecycle from design to deployment
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | ARM | Airflow | Alerting | Apache Spark | Availability | Azure | Azure Data | Azure Data Explorer | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Synapse | Backend Development | Bicep | C# | C++ | Compliance | Data Explorer | Data Lake Storage Gen2 | Data Pipelines | Data Privacy | Data Quality | Distributed Systems | FastAPI | Flask | Infrastructure as Code | Java | JavaScript | Logging | Metrics | Monitoring | Observability | Performance Tuning | Python | Reliability Engineering | Scalability | Schema evolution | Security screening | Terraform | “as-code”
Education
Regions
Countries
States
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