Professional Services Deployment Engineer

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

Professional 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 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 & Training

• 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.

Troubleshooting & Optimization

• 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.

Cross‑Team Collaboration

• 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.

Technical Skills

• 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

Soft Skills

• 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

What 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 infrastructure
• Collaborating with experienced engineers, marketers, and product leaders
• Helping shape how enterprises build AI-powered applications

If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.