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, Transient.AI, 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 arango.ai, LinkedIn, and G2.
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.
