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LocationOnly candidates in the USA with U.S. Citizenship will be considered for the role.About the RoleWe 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.ResponsibilitiesLead the design and development of the ArangoDB Kubernetes Operator.Own core operator architecture and implement features for lifecycle management, scaling, backup, and replication.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.This role supports a U.S. Air Force project and requires U.S. citizenship.Key QualificationsDeep expertise in Kubernetes, CRDs and operators (deployments, custom resources like ArangoDeployment, ArangoBackup, ArangoLocalStorage, replication, etc.) Strong experience in Go (the operator is written in Go) plus solid understanding of concurrency, storage, and distributed system concerns. Proven background in designing and managing production-grade distributed databases or stateful systems, including storage management and data replication. (e.g., persistent volumes, snapshot/backup, failover, cluster scaling) Familiarity with storage concepts in Kubernetes: PersistentVolumes, PVCs, local storage, volume resizing, storage performance tuning. Operational mindset: ability to ensure stability, handle upgrades/migrations, observability/metrics, and manage cluster lifecycle through automation and best practices. Strong communication and leadership skills: able to drive technical discussions, review code, mentor contributors, write clear design documents and documentation for both internal and external users.U.S. citizenship is required.Active security clearance is preferred.Why Join UsYou have the chance to play a key role in building the next great enterprise data and AI company! You'll be selling our category-defining technology, already trusted by innovative global brands, while partnering closely with an elite team of Sales, Product, and Engineering leaders. If you thrive in a culture that prizes excellence, autonomy, and accountability, you'll fit right in. We back up that culture with a competitive compensation plan that includes uncapped variable earnings and meaningful career growth opportunities.Our headquarters is in San Francisco (US) and we have an office in Cologne (Germany), but most of our diverse team works remotely worldwide. So, do you prefer your desk at home or do you want to join us at one of our locations? Your choice.The global minds of Arango come from 5 different continents and more than 20 countries. Diverse backgrounds enable us to see new solutions. We invite people from every culture, national origin, religion, sexual orientation, gender identity or expression, and of every age to apply to our positions. All employment decisions are based on business needs, job requirements, and individual qualifications. Arango is committed to a workplace free of discrimination and harassment based on any of these characteristics. We love this diversity and encourage everyone curious and visionary to join the multi-model movement.
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