Senior Platform Engineer, Machine Learning
Tasks
- Apply engineering best practices for system design code quality testing and observability
- Collaborate with machine learning engineers on technical designs
- Design build and operate scalable fault tolerant backend services
- Identify and resolve performance bottlenecks and reliability risks
- Lead recommendations pipeline architecture modernization
- Mentor engineers and drive continuous improvement
- Own system components end to end from deployment to monitoring and incident response
Perks/Benefits
Skills/Tech-stack
AWS | Apache Beam | Apache Flink | Apache Spark | Automated Deployment | Azure | CI/CD | Cloud platform | Code review | Continuous Delivery | Continuous integration | Distributed Systems | Docker | Fault Tolerance | GRPC | GitHub Actions | Google Cloud | Google Cloud Platform | High Availability | Idempotency | Kafka | Kubernetes | Observability | Python | System design | Unit Testing
Education
N/A
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