Nexla
This role focuses on building and maintaining backend systems that move data through Nexla's enterprise AI platform, including JVM services, Kafka streaming runtime, and distributed processing. The engineer will own core framework features, production streaming workloads, and complex debugging across distributed systems. The position requires strong Java expertise, experience with modern data stack technologies, and a hands-on approach to shipping and operating production code.
Headquarters
San Mateo, California, United States
Company Size
51-200 employees
Founded
2016
Nexla is an enterprise-grade data platform built for the agentic AI era, enabling organizations to connect 600+ data sources and deliver governed, context-aware data as MCP-ready tools for AI agents. The platform is built around data products (Nexsets) that provide semantic abstraction, metadata, quality checks, and zero-trust security, ensuring AI agents receive the right data with the right permissions in real time. Nexla supports the full data loop — from ingestion and transformation to bidirectional agentic actions — spanning structured and unstructured, batch and streaming, cloud and on-premises data sources.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Nexla.
Nexla didn’t post a salary, so this is our estimate from similar listings.
Nexla has defied startup conventional wisdom with slow and steady growth
Jul 25, 2023