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Golang/Kubernetes Engineer

Job not on LinkedIn

🕒 Yesterday

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

Where this job comes from

Posted on ArangoDB's careers page, not through a job board

First seen by Remote Rocketship Yesterday

Still open on ArangoDB's site. Checked 27 minutes ago.

Logo of ArangoDB

ArangoDB

51 - 200 employees

Founded 2015

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $27.8M Series B on 2021-10

Healthcare • Logistics • Consulting

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

📋 Description

• Lead the design and development of the ArangoDB Kubernetes Operator • Own core operator architecture and implement lifecycle management, scaling, backup, and replication features • Ensure high availability, performance, and stability of ArangoDB on Kubernetes • Define best practices for running stateful systems on Kubernetes • Collaborate with engineering teams to align operator capabilities with enterprise and cloud requirements • Troubleshoot complex issues across Kubernetes and distributed systems • Support a U.S. Air Force project • Extend the solution into AWS GovCloud

🎯 Requirements

• 4+ years of programming and cloud experience • Deep expertise in Kubernetes, CRDs, and operators • Strong experience in Go • Solid understanding of concurrency, storage, and distributed systems • Strong experience with cloud solutions, especially AWS • AWS GovCloud experience is an additional point • Background designing and managing production-grade distributed databases or stateful systems • Familiarity with PersistentVolumes, PVCs, local storage, volume resizing, and storage performance tuning • Ability to ensure stability, handle upgrades and migrations, observability/metrics, and manage cluster lifecycle through automation and best practices • Strong communication and leadership skills • U.S. citizenship required • Active security clearance preferred

🏖️ Benefits

• Contributing to cutting-edge AI and data infrastructure • Collaborating with experienced engineers, marketers, and product leaders • Helping shape how enterprises build AI-powered applications

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