Database and AI Support Engineer

Database and AI Support 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 Database and AI Support Engineer who can help our customers install, maintain and grow their AI solution built on ArangoDB and our AI suite. You’ll be the person who will help our customers 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 customers to diagnose issues, build and configure deployments, help them with writing queries and improving performance, and train internal and external teams where and when required.

Location: Only candidates in India will be considered (Remote)

Core Competencies

• Database Fundamentals: Data modeling, query optimization, indexing, clustering, replication, backups, and performance tuning across document, graph, key/value, and vector databases.
• AI & RAG Knowledge: Understanding of LLMs, embeddings, vector search, retrieval-augmented generation (RAG), prompt engineering, and AI APIs.
• Cloud & Infrastructure: Experience with Linux, Docker, Kubernetes, networking, and cloud platforms (AWS, Azure, or GCP).
• Troubleshooting & Diagnostics: Ability to analyze logs, identify root causes, debug complex issues, and collaborate with Engineering on product defects.
• APIs & Scripting: Familiarity with REST APIs, JSON, authentication mechanisms, and scripting languages such as Python or Bash.
• Customer Excellence: Strong communication, problem-solving, expectation management, and the ability to explain complex technical concepts to both technical and non-technical audiences.
• Collaboration & Documentation: Proven ability to document solutions, contribute to knowledge bases, and work cross-functionally with Product, Engineering, and Customer Success teams.

Technical Skills

• 5+ years of Support Engineering experience
• 3+ years of experience working with Databases (ArangoDB, Neo4j, or similar)
• 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
• Comfort with Linux, SSH, jump boxes, and cluster‑admin workflows
• Basic scripting skills
• Ability to read and understand code 

Soft Skills

• Communication
  • Ability to explain technical concepts clearly to both technical and non-technical audiences.
  • Builds trust by acknowledging the customer's situation and concerns.
  • Ability to  ensure the real issue is understood before troubleshooting begins.
• Problem solving and critical thinking
  • Ability to break down complex issues into manageable steps and identify root causes.
  • Ability to evaluate evidence objectively 
• Collaboration
  • Ability to work collaboratively with Engineering, Product, QA, and other teams.
  • A great team player

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.