Teams at Telnyx

Design, build, and optimize a multi-region, highly-available Java/Scala microservices data pipeline processing thousands of messages/sec. Improve performance, implement fraud-detection pipelines with ML (Kafka/Kafka Streams), deploy to multi-cloud Kubernetes, and push frequent production releases to maintain five-nines uptime.

Build and operate Telnyx’s AI-enabled FP&A infrastructure with the FP&A Engineer. Develop automated planning, forecasting, reporting, and agent workflows, then own driver-based financial models, budgeting, long-range planning, scenario analysis, sensitivity analysis, and ROI evaluations. Translate incomplete data and urgent business questions into executive-ready recommendations, partnering with Accounting, BI, and business leaders to support decisions involving revenue, expenses, hiring, pricing, investments, and cash.

Build and operate Python-based, multi-agent AI backend systems for go-to-market workflows. Design model-agnostic LLM architectures, tool-use patterns, integrations, observability, evaluation infrastructure, and production services deployed on Kubernetes. Own systems end-to-end, including architecture, deployment, reliability, experimentation, debugging, and incident resolution across CRM, enrichment, outreach, and communication platforms.