Joseph Flaten

I am a Senior Backend Engineer with deep experience designing and operating large-scale, cloud-native backend systems and search services. I architect and implement microservices, streaming pipelines, and relevance models to meet strict latency and throughput goals.

At Elastic I built scalable search and document-intelligence services in Java/Spring Boot serving multi-billion-document Elasticsearch clusters with sub-50ms p95 latency at 50K+ QPS, and implemented observability, security, and CI/CD practices for enterprise deployments.

Previously at Uber and Cognizant I developed high-throughput personalization and financial analytics backends using Go, Java, Python, Spark, and containerized deployments on AWS, Azure, and GCP, integrating Kafka/RabbitMQ, Redis, and Databricks for real-time and offline pipelines.

I prioritize fault-tolerant, observable, and automated systems—delivering end-to-end solutions that include cloud-native orchestration, streaming ETL, RBAC and field-level security, and production-grade monitoring to drive reliability and measurable product improvements.