At Arango we're on a mission to make working with complex data simple, powerful, and AI-ready. Based in California and in Cologne (with a global team), we’re building a cutting-edge data platform that helps organizations bring all their data together — graph, document, key/value, full-text, and vector search — in one engine.
Why does that matter? Because it means developers and data teams can build next-gen AI applications like RAG, knowledge graphs, and smart agents — without gluing together a bunch of tools that were never meant to work together.
Our platform makes it easy to work with any kind of data-structured, semi-structured, or unstructured, and it gives teams everything they need to build faster, smarter, and with way more context. From our easy-to-learn AQL query language to modern integration tools, we’re here to help teams grow and scale with AI.
Role Overview
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 India will be considered
- Deploy 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.
- Train 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.
- Investigate 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.
- Partner 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.
- 8+ years of deployment engineering experience
- Strong experience with Kubernetes (AKS/EKS/OpenShift) and Helm
- Solid understanding of cloud infrastructure (AWS, Azure) and on‑prem environments
- Familiarity with storage systems (EBS, gp3, MinIO, S3‑compatible storage)
- Ability to debug networking issues: load balancers, timeouts, service endpoints, DNS, and ingress controllers
- Experience with distributed systems or databases (ArangoDB, Neo4j, or similar)
- Comfort with Linux, SSH, jump boxes, and cluster‑admin workflows
- Clear, calm communicator who can translate complex systems into simple explanations
- Patient trainer who enjoys helping teams build confidence and capability
- Strong sense of ownership you bring clarity where there is confusion
- Comfortable working in fast‑moving environments with shifting priorities
Why Join Arango
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 team comes 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.
