Cloud Native Observability Management Platform Engineer - Data Infrastructure
Summary
Build and optimize cloud-native observability and data infrastructure services using AWS, C++, and stream/data processing tools like Flink, Kafka, Spark, and ClickHouse, with exposure to AI/ML workloads including LLM inference.
SGD 143K-152K (estimate) Mid-level Full Time
- Deliver and optimize operations products
- Drive quality engineering for observability services
AWS | AWS Lambda | Agents SDK | Amazon Bedrock | Amazon DynamoDB
Flexible work schedule | In person collaboration days per week | Mentorship and career growth | Work from home flexibility
Mentorship opportunity | Professional development
Alerting | Automated rollback | C++ | CI/CD | Canary Deployment
Algorithms | C# | C++ | ClickHouse | Data Structures
Deep learning | Java | Knowledge graphs | LLM | Language Processing
Batch Processing | C# | C++ | Data Architecture | Distributed Consensus
Batch Processing | C++ | Columnar Storage | Data Warehousing | DeltaLake
Algorithms | C++ | Computer Vision | Data Structures | Generative Models
Algorithms | C++ | Data Structures | Information Retrieval | Java
C++ | CUDA | CUDNN | Data Processing | Debugging
C++ | CUDA | CUDNN | Computer Architecture | Data Processing
Apache Spark | C++ | Data Mining | Data Modeling | Data Visualization
C++ | Data Mining | Data Modeling | Data Warehousing | Distributed Systems
C++ | Data Mining | Data Modeling | Elasticsearch | Flink
C++ | CUDA | Concurrency systems | Go | High Performance
Billing | C++ | CUDA | Cloud Computing | Database systems
C++ | CUDA | Collective communication | Disaggregated inference | Distributed KV Cache
Algorithms | Apache Flink | ClickHouse | Data Structures | Data integration
Apache Flink | Apache Kafka | Apache Spark | Data Warehousing | ETL