Database and AI Support Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.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

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

• Troubleshoot and diagnose complex database, AI, cloud, infrastructure, and networking issues • Analyze logs, identify root causes, debug issues, and collaborate with Engineering on product defects • Support document, graph, key/value, and vector database environments • Work with Kubernetes clusters and Helm deployments • Collaborate cross-functionally with Product, Engineering, QA, and Customer Success teams • Document solutions and contribute to knowledge bases • Ensure customer issues are understood before troubleshooting begins • Explain technical concepts clearly to technical and non-technical audiences • Help enterprises build and scale AI-powered applications using Arango’s contextual data platform

🎯 Requirements

• Only candidates in India will be considered • 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, including 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 • Understanding of data modeling, query optimization, indexing, clustering, replication, backups, and performance tuning across document, graph, key/value, and vector databases • Understanding of LLMs, embeddings, vector search, retrieval-augmented generation (RAG), prompt engineering, and AI APIs • Experience with Linux, Docker, Kubernetes, networking, and AWS, Azure, or GCP • Familiarity with REST APIs, JSON, authentication mechanisms, and Python or Bash • Ability to document solutions and contribute to knowledge bases • Strong communication, problem-solving, expectation management, and collaboration skills • Ability to explain complex technical concepts to technical and non-technical audiences

🏖️ Benefits

• Contributing to cutting-edge AI and data infrastructure • Collaborating with experienced engineers, marketers, and product leaders • Helping shape how enterprises build AI-powered applications

📊 Check your resume score for this job

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

Upload Resume