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Lead the design and development of the ArangoDB Kubernetes Operator to ensure robust lifecycle management, scaling, and replication. Collaborate with engineering teams to define best practices for stateful systems and support enterprise-grade cloud deployments.
Golang/Kubernetes Engineer
About Arango:
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.
Location: Only candidates in the USA will be considered for the role (Remote).
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.
Responsibilities
Key Qualifications
At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.
Working at Arango means:
If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
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