Graph Database Engineer – Index & Query Optimisation (Core Database)

Position Summary:

We are looking for a Kernel Engineer with a focus on Indexing and Query Optimisation to join our Index team. You will work on designing and evolving the indexing and schema subsystem of our graph database. Do you have a strong interest in database indexes, query performance, and algorithm design? Are you excited by building indexing systems that support complex graph queries, similarity search, and emerging GenAI workloads then this role shall excite you.

You'll be part of a highly skilled engineering team that values technical rigor, clean design, and honest engineering discussions. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, AI and Data Scientist, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What You Will Do:

• Build and ship features related to:
  • Indexes
  • Constraints
  • Schema evolution
• Design and optimise indexing subsystems for graph workloads
• Work on:
  • Property and composite indexes
  • Graph-aware query optimisation
  • Vector and similarity search capabilities
• Support complex workloads across large-scale graph datasets
• Write high-quality, testable, and efficient code
• Profile and optimise indexing and query execution performance
• Collaborate with product managers to define the index roadmap
• Explore and integrate new indexing techniques and research ideas
• Use innovation time to experiment with new index designs

You'll Thrive in This Role If You Have:

• Strong interest in how database indexes work internally
• Proficiency in algorithm and data structure design
• Proficiency in C++ and/or Scala
• Experience working with graph databases or query engines
• Understanding of multi-threaded systems
• Strong analytical and problem-solving skills
• A collaborative and humble engineering mindset

Nice to Have

• Experience with Lucene or search/index engines
• Knowledge of B-Trees, LSM trees, inverted or vector indexes, Various Search Algorithms
• JVM performance tuning experience
• Experience working on large-scale database systems
• 4+ years of experience

Tech Stack

• Languages: C++, Scala
• Graph Stack: JanusGraph, TinkerPop
• Focus Areas: Kernel systems, indexing, transactions, schema, query execution
• Engineering Values: Performance, correctness, simplicity, and long-term maintainability

**A PLUS if you provide the link to your GitHub Website