Dynamic pricing platform for airlines with real-time schedule and price optimization
Longtail builds an autonomous pricing engine for airlines that ingests and responds to ~150,000 daily schedule changes and 1 billion price updates without human intervention. The stack—Kafka, Databricks, Elasticsearch, Kubernetes across AWS/GCP—reflects a data-heavy, event-driven architecture. Active infrastructure work (cloud migration, observability stack, CI/CD pipeline design) signals the company is moving from on-premise constraints toward multi-region cloud operations, a prerequisite for scaling pricing models across global airline networks.
Longtail is a B2B SaaS company serving airline revenue-management teams with an autonomous pricing platform. Founded in 2021 and based in Palo Alto, the company operates as an 11–50 person team split between engineering, data science, and support roles. The platform dynamically reprices journeys and optimizes offer availability by processing real-time schedule and price feeds, removing the need for daily manual intervention. Current work includes migrating legacy on-premise infrastructure to multi-region cloud, implementing observability systems, and building new product layers—all while expanding into a new Barcelona engineering hub.
Kafka, Databricks, Elasticsearch, Kubernetes, Prometheus, Grafana, Python, Terraform, CloudFormation, and Jenkins. Infrastructure spans AWS and GCP with Hadoop and Iceberg for big-data processing.
Cloud migration from on-premise servers to multi-region deployment, CI/CD pipeline modernization, observability stack implementation, customer onboarding automation, legacy component upgrades, and new product infrastructure layers. A new Barcelona engineering base is underway.
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