Professional Services Deployment Engineer (New Delhi)

Professional Services Deployment Engineer (New Delhi)

16 Aug
|
Arango
|
New Delhi

16 Aug

Arango

New Delhi

About ArangoDB

Arango makes your business data AI-ready, giving agents, apps, and assistants trusted context at scale. Every answer is traceable. Every decision is governed. No more stitching together a vector store, a graph database, a search index, and a governance layer added as an afterthought. Arango’s Contextual Data Platform has it all built in, not bolted on.
Trusted by organizations including NVIDIA, HPE, Zscaler, the London Stock Exchange, the U.S. Air Force, NIH, Siemens, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program.
Stop building Frankenstacks. Start building with Arango. Learn more at arango.ai
We believe great innovation happens when curious, driven people collaborate. We are committed to building a diverse and inclusive team and supporting our employees and interns as they learn, grow, and contribute to shaping the future of enterprise 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

Skilled Services Deployment Engineer
- 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 per

📌 Professional Services Deployment Engineer (New Delhi)
🏢 Arango
📍 New Delhi

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