Graph Analytics Engineer - Cloud and Remote-First

Neo4j

London (KY)

Remote

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Neo4j, Inc. is seeking a software developer to join our high-performance cloud platform team. You will work at the intersection of our graph analytics stack and cloud infrastructure, delivering scalable backend services and robust developer experiences.

You’ll contribute to Graph Data Science integrations, write Java, Go and Python, and help improve observability and performance across distributed systems in a remote-first, collaborative environment.

Qualifications

  • Interest in JVM languages or system programming languages, such as C, C++, Rust and willingness to learn Java, Go, Python.
  • Interest or Experience in Kubernetes and cloud computing
  • Familiarity with graph theory
  • Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer

Responsibilities

  • Improve Neo4j’s Graph Data Science platform, focusing on its integrations in Neo4j Aura
  • Write new features that bridge the gap between on‑premise and cloud solutions
  • Write Java, Go and Python code with a strong focus on usability, efficiency, and scalability
  • Work on and improve the observability of our cloud systems
  • Work in a highly collaborative and friendly team of skilled and motivated engineers
  • Identify and integrate new areas of research that can solve our customers’ most difficult problems
  • Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database

Skills

JVM languages
Kubernetes & cloud computing
Graph theory
Creative thinking
Distributed/remote‑first

Education

Master's degree in Computer Science or related field

Job description

Neo4j, Inc. is seeking a software developer to join our high-performance cloud platform team. You will work at the intersection of our graph analytics stack and cloud infrastructure, delivering scalable backend services and robust developer experiences.

You’ll contribute to Graph Data Science integrations, write Java, Go and Python, and help improve observability and performance across distributed systems in a remote-first, collaborative environment.

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