Cloud Engineer - 8+yrs - Cloud-native SaaS applications, Java, Python, Kafka/Flink/Spark/Ice berg
Tasks
- Build APIs and platform services
- Build feature engineering frameworks
- Build feature stores and inference pipelines
- Build real-time and batch data processing systems
- Define data platform architecture standards
- Design scalable secure reliable data capabilities
- Develop AI ready data platform components
- Develop model serving infrastructure
- Develop scalable data pipelines
- Evaluate machine learning frameworks and vector databases
- Implement semantic search and vector retrieval
- Mentor engineers and drive engineering excellence
- Optimize latency throughput scalability reliability
- Participate in architecture design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Apache Flink | Apache Iceberg | Apache Pinot | Apache Spark | Automation | Caching | ClickHouse | Cloud Native | Cloud platform | Data Governance | Data Modeling | Distributed Systems | Docker | Embeddings | Event Driven | Event-driven architecture | Feature Engineering | Feature Stores | Google Cloud | Google Cloud Platform | Inference Pipelines | Java | Kafka | Kubernetes | Machine Learning | Machine Learning Model | Machine Learning Model Monitoring | Microservices | Model Monitoring | Model Serving | Observability | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Testing | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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