数据库和 AI 支持工程师
Database and AI Support Engineer
数据库与AI支持工程师
关于 Arango：
Arango 提供一个统一的、原生多模型上下文数据平台，为 AI 代理、助手和应用程序提供统一、实时且可信的业务上下文，以实现大规模推理、决策和行动。
Arango 上下文数据平台通过简化架构将分散的企业数据与 LLM、copilots 和 AI 代理连接起来。通过在一个平台上结合图、向量、文档、键值和搜索功能，Arango 消除了许多组织为实现企业 AI 而构建的复杂堆栈。
Arango 被包括 NVIDIA、HPE、伦敦证券交易所、PSI CRO、美国空军、NIH、西门子、Matpriskollen 和 Articul8 在内的组织所信赖。Arango 帮助企业更快地从 AI 试点转向可靠的生产系统，同时降低基础设施复杂性和总体拥有成本。Arango 是 NVIDIA Inception 计划和 AWS ISV Accelerate 计划的成员。了解更多信息，请访问 LinkedIn 和 G2。
地点：仅考虑印度的候选人（远程）
核心能力
- 数据库基础：在文档、图、键值和向量数据库中，具备数据建模、查询优化、索引、集群、复制、备份和性能调优的经验。
- AI 与 RAG 知识：了解 LLM、嵌入、向量搜索、检索增强生成（RAG）、提示工程和 AI API。
- 云与基础设施：具备 Linux、Docker、Kubernetes、网络和云平台（AWS、Azure 或 GCP）的经验。
- 排错与诊断：能够分析日志、识别根本原因、调试复杂问题，并与工程团队合作处理产品缺陷。
- APIs 与脚本：熟悉 REST API、JSON、认证机制以及 Python 或 Bash 等脚本语言。
- 客户卓越：具备良好的沟通能力、解决问题能力、期望管理能力，能够向技术或非技术人员解释复杂的技术概念。
- 协作与文档：具备编写解决方案文档、贡献知识库，并与产品、工程和客户成功团队跨职能协作的能力。
技术技能
- 5 年以上支持工程经验
- 3 年以上使用数据库（ArangoDB、Neo4j 或类似）的经验
- 熟练掌握 Kubernetes（AKS/EKS/OpenShift）和 Helm
- 对云基础设施有扎实的理解
查看英文原文
Database and AI Support Engineer
About Arango:
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 Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens,, Matpriskollen, 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. Learn more at,LinkedIn, andG2.
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
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.
Originally posted on Himalayas