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Neo4j

ACID graph database for connected data

Full-stack Software Engineer - Graph Engine

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeMalmö, SwedenNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of practical experience in front-end development with React, including the ability to drive technical decisions and front-end architecture and mentor others.
  • At least 5 years of practical experience building complex, data-rich web applications.
  • At least 5 years of practical experience working beyond the front end, with willingness to learn new languages, backend systems, and cloud technologies.

Responsibilities

  • Work on the Graph Engine team, building Virtual Graph across its query engine, database connectivity, cloud infrastructure, and user interface in the Aura console.
  • Guide the user interface's technical direction and collaborate with team members.
  • Contribute across the rest of the product stack.

Desired Qualifications

  • Experience with or interest in backend development in Java, Scala, or Go; JVM experience is a plus but not required.
  • Experience with or interest in cloud-native development and container orchestration, such as Kubernetes.
  • Experience with or interest in cloud data platforms such as Snowflake, Databricks, or BigQuery.
  • Experience with or interest in distributed databases or database internals.
  • Experience with or interest in database drivers and connectivity, such as JDBC or HTTP-based drivers.
  • Experience with or interest in software architecture and maintaining systems as they scale.

About the Company

Neo4j

ACID graph database for connected data

Neo4j provides a graph database that helps organizations model and analyze highly connected data. It stores data as nodes and relationships and uses the Cypher query language to traverse the graph, with ACID compliance and options like AuraDB cloud hosting, Graph Data Science, and Bloom for visualization. Unlike relational databases, its graph-first design enables fast traversals and graph analytics for enterprise use cases, offered through a freemium Community Edition and paid enterprise plans across major clouds. Its goal is to turn complex connected data into actionable insights and support scalable analytics, with broader adoption and potential IPO readiness.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$633M
Headquarters
San Mateo, CA
Founded
2007

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