Database and AI Support Engineer

Job not on LinkedIn

🕒 July 14

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ArangoDB

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🏥 Healthcare

📦 Logistics

💼 Consulting

💰 $27.8M Series B on 2021-10

Healthcare • Logistics • Consulting

ArangoDB is a flexible and scalable graph database platform designed for a variety of applications, particularly in a data-intensive environment like Generative AI. It supports multiple data models including graph, vector, document, full-text search, and geospatial databases, all within a single unified system. This allows developers to efficiently navigate complex data interactions and perform advanced analytics, making it ideal for sectors such as healthcare, finance, telecommunications, and more.

📋 Description

• Help customers install, maintain and grow their AI solution built on ArangoDB and our AI suite • Assist customers in deploying, operating, and scaling ArangoDB‑based AI systems with confidence • Diagnose issues and build and configure deployments • Help customers with writing queries and improving performance • Train internal and external teams when required

🎯 Requirements

• 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

🏖️ Benefits

• Competitive salary • Remote work options • Professional development opportunities