Graph Engineer

Role & responsibilities

• Lead research initiatives in graph-based ML and algorithms 
• Develop novel approaches for graph-based problem solving 
• Publish research findings in top-tier conferences and journals 
• Transform research prototypes into production-ready solutions 
• Build and optimize graph algorithms for scalable data processing
• Create efficient data models and implement graph database solutions
• Develop APIs and services around graph-based architectures
• Work on proof-of-concepts and prototype new features
• Collaborate with engineering teams on implementation
• Collaborate closely with product and Customer Success teams to understand Business Use Cases and broader product scope
• Contribute to architectural decisions and technology choices

Preferred candidate profile

• B.Tech/M.Tech in Computer Science or related field from top-tier institutions
• 2+ years of Experience on software development using Java programming Language.
• 2-4 years of Experience with graph databases (Neo4j)
• Proficiency in Java.
• Good understanding of distributed systems
• Excellent problem-solving and analytical skills

Preferred Skills:

• Experience with graph query languages (Cypher, Gremlin)
• Knowledge of graph visualization libraries
• Familiarity with cloud platforms (AWS)
• Experience with microservices architecture

Technical Stack:

• Graph Databases: Neo4j
• Languages: Java
• Cloud: AWS/Azure
• Other tools: Git, Docker

What Sets You Apart:

• Ability to work independently and take ownership
• Quick learner who can adapt to new technologies
• Strong bias for action and getting things done
• Passion for building scalable solutions
• Good communication skills in English