At Arango, we believe the first generation of enterprise AI missed something essential: context. LLM models are powerful, but they don't understand the context needed to deliver accurate answers. Arango provides a trusted data foundation for the next wave of Enterprise AI with graph-based Contextual AI — transforming enterprise data into a System of Context that truly represents the business, so LLMs can deliver better outcomes with unlimited scale and cost efficiency. The Arango AI Data Platform gives developers a single, integrated environment to build and scale AI-powered applications without the complexity of stitching together multiple databases and tools. At its core is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector search — creating the System of Context, the bridge between enterprise data and LLMs. We’re a global team based in California and Cologne, united by curiosity, collaboration, and a passion for helping developers, data engineers, and technology leaders innovate faster and smarter with AI. Trusted by NVIDIA, HPE, the London Stock Exchange, the U.S. Air Force, NIH, and Articul8, Arango powers enterprise AI with context, confidence, and scale. We are a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. If you’re excited about shaping the future of Contextual AI, come build with us. Location: Only candidates in the USA with U.S. Citizenship will be considered for the role. About the Role We are seeking a Senior Engineer to lead development of the ArangoDB operator, responsible for ensuring robust lifecycle management, scaling, back-up, and replication capabilities for ArangoDB running on Kubernetes. You will shape the architecture of core operator components, design and implement new features, influence best practices for deploying stateful systems on Kubernetes, and ensure that ArangoDB continues to meet enterprise-grade expectations for performance, consistency, and stability. This is an opportunity to own a critical part of our ecosystem and directly impact how modern AI-driven applications run in production. This role supports a U.S. Air Force project and requires U.S. citizenship.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees