Software Developer
Tasks
- Apply GenAI and LLM techniques to improve data quality and relevance
- Build and optimize cloud ETL pipelines
- Build and optimize streaming pipelines
- Build attribute heavy search models
- Build vector based search systems
- Collaborate with product and data teams to translate requirements
- Create observability dashboards and alerts
- Deploy and manage services on Kubernetes
- Design and implement high performance product search systems
- Develop fitment resolution logic
- Implement AI assisted product matching
- Implement SLO based monitoring
- Implement event driven horizontally scalable systems
- Implement rag pipelines
- Integrate distributed tracing metrics and logging
- Integrate with Vertex AI Retail Search API
- Manage CI/CD pipelines and infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Beam | Apache Flink | Apache Kafka | Apache Kafka Streams | Apache Spark | Back pressure | BigQuery | Caching | Circuit Breakers | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud Storage | Distributed tracing | Docker | Elasticsearch | Eventual Consistency | GCP Dataflow | GKE | Gatling | Grafana | Idempotency | Java | K6 | Kafka | Kafka Streams | Kubernetes | LLM integration | Load Testing | Metrics | NATS | PagerDuty | Prompt engineering | PubSub | RAG | Rate Limiting | Retail search | Retries | SLO monitoring | ServiceNow | Spring Boot | Structured Logging | Terraform | Vector Databases | Vector Search | Vertex AI | Vertex AI Retail Search
Education
N/A
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