Golang/Kubernetes Engineer

Arango

37d

About The Position

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.

Requirements

• 4+ years of programming and Cloud experience
• Deep 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.

Nice To Haves

• Active security clearance is preferred.

Responsibilities

• Lead 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees