Posted today · be early
Database and AI Support Engineer
ArangoDB
IndiaremotePosted 1 day ago
Skill Required
Support-EngineerDatabase-EngineerTechnical-Support-EngineerAI-Support-EngineerSystems-EngineerDatabase-Support-EngineerAI-ML-Support-EngineerPostgreSQL-Support-EngineerAI EngineerandAIQuery OptimizationGenerative AItroubleshootingEngineeringKubernetesnetworkingsimilar)AzurePythonDockerNeo4jLinuxCloudDesign PatternsjQueryRustHelmAPIsShell ScriptingRAGAWSGCPDNSFulltime
Key highlights
- Location: India (Remote)
- 5+ years of Support Engineering experience
- 3+ years of Database experience
- Strong Kubernetes and Helm experience required
Role overview
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale. The platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture, combining graph, vector, document, key-value, and search capabilities to help enterprises move from AI pilots to reliable production systems.
Responsibilities
- Analyze logs, identify root causes, debug complex issues, and collaborate with Engineering on product defects
- Document solutions and contribute to knowledge bases
- Work cross-functionally with Product, Engineering, QA, and Customer Success teams
- Explain complex technical concepts to both technical and non-technical audiences
- Acknowledge the customer's situation and concerns to build trust
- Ensure the real issue is understood before troubleshooting begins
- Break down complex issues into manageable steps and identify root causes
- Evaluate evidence objectively
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 and 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, networking, and cloud platforms (AWS, Azure, or GCP)
- Familiarity with REST APIs, JSON, authentication mechanisms, and scripting languages such as Python or Bash
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
Additional details
- Location: Only candidates in India will be considered (Remote)
- Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Matpriskollen, and Articul8
- Proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program
- Learn more at LinkedIn and G2
- Originally posted on Himalayas