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Responsibilities
We’re looking for a Deployment & Training Engineer who can bridge the gap between platform engineering, DevOps, and customer enablement. You’ll be the person who ensures our customers can deploy, operate, and scale ArangoDB‑based AI systems with confidence whether on AKS, EKS, OpenShift, or fully on‑prem environments.This role is hands‑on, collaborative, and deeply technical. You’ll work directly with customer teams to diagnose issues, streamline deployments, build repeatable workflows, and train internal and external teams to own their environments long‑term.Location Only candidates in the US (Remote)Professional Services Deployment EngineerDeploy ArangoDB and ArangoAI components across AKS, EKS, OpenShift, and on‑prem clusters.Build and maintain Helm‑based deployment bundles, including combined stacks Troubleshoot Kubernetes‑level issues: PVC/PV mapping, storage performance, pod scheduling, cluster access, and network policies.Diagnose and resolve load balancer issues (ALB/NLB), connection timeouts, and service routing problems.Validate cluster health, storage provisioning, and performance baselines.Customer Enablement & TrainingTrain customer teams to become self‑sufficient in cluster operations, monitoring, and upgrades.Create clear, human‑friendly documentation, training, and deployment guides.Lead hands‑on workshops covering technology and hands-on labs Provide one‑time setup support while coaching teams toward long‑term ownership.Troubleshooting & OptimizationInvestigate performance issues across compute, storage, and query layers.Work with DBAs and ML engineers to review query plans, vector index usage, and full‑scan patterns.Help customers navigate platform constraints (e.g., lost SSH access, misconfigured jump boxes, degraded cluster states).Collaborate with internal engineering to surface recurring issues and improve deployment automation.Cross‑Team CollaborationPartner with platform teams to align deployment patterns.Work with product engineering to validate new features in real‑world environments.Coordinate with customer project leads to ensure smooth onboarding and predictable delivery.Technical Skills4+ years of deployment engineering experienceStrong experience with Kubernetes (AKS/EKS/OpenShift) and HelmSolid understanding of cloud infrastructure (AWS, Azure) and on‑prem environmentsFamiliarity with storage systems (EBS, gp3, MinIO, S3‑compatible storage)Ability to debug networking issues: load balancers, timeouts, service endpoints, DNS, and ingress controllersExperience with distributed systems or databases (ArangoDB, Neo4j, or similar)Comfort with Linux, SSH, jump boxes, and cluster‑admin workflowsSoft SkillsClear, calm communicator who can translate complex systems into simple explanationsPatient trainer who enjoys helping teams build confidence and capabilityStrong sense of ownership you bring clarity where there is confusionComfortable working in fast‑moving environments with shifting prioritiesWhat Makes Arango Special?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:Contributing to cutting-edge AI and data infrastructureCollaborating with experienced engineers, marketers, and product leadersHelping shape how enterprises build AI-powered applicationsIf you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
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