Principle Software Engineer
Tasks
- Apply AI ML techniques for anomaly detection and data enrichment
- Architect and maintain event driven distributed systems
- Build data pipelines for feature computation data quality validation and filtering
- Build high throughput event ingestion transformation and enrichment pipelines
- Conduct design and code reviews and mentor engineers
- Define schemas telemetry models KPIs and AI enriched data signals
- Design real time analytics systems from streaming data
- Drive architecture and implementation across web stack and distributed systems
- Drive technical strategy across multiple teams
- Ensure performance, accessibility, and security best practices
- Implement modular UI components and backend services
- Improve coding standards and pipeline patterns
- Operationalize lightweight ML models in production
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS Lambda | Amazon API | Amazon API Gateway | Amazon EKS | Anomaly Detection | Apache Kafka | Automated testing | CI/CD | CloudWatch | Clustering | Data Enrichment | Docker | Grafana | GraphQL | Integration Testing | JavaScript | Kubernetes | Machine Learning | Microservices | Node.js | PostgreSQL | Prometheus | Python | REST API | React | Real Time | Real-time analytics | Serverless architecture | TypeScript | Unit Testing
Education
N/A
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