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10 дней назад

Software Engineer - Graph Analytics (Graph Data Science)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Software Engineer - Graph Analytics (Graph Data Science): Improving Neo4j’s Graph Data Science platform and its Neo4j Aura integrations with an accent on cloud systems, data transfer, observability, and scalable backend development. Focus on bridging on-premise and cloud solutions, integrating research into customer-facing capabilities, and ensuring interoperability with the core database.

Location: Malmö, Sweden; hybrid. Other location: London, United Kingdom.

Company

hirify.global develops a graph intelligence platform, including enterprise knowledge graphs, graph data science, and cloud solutions for intelligent applications and AI systems.

What you will do

  • Improve the Graph Data Science platform, focusing on integrations with hirify.global Aura.
  • Develop features that bridge on-premise and cloud solutions.
  • Build Java, Go, and Python functionality focused on usability, efficiency, and scalability.
  • Improve observability, telemetry, and monitoring of cloud systems and job execution.
  • Optimize data ingestion and streaming between client environments and the cloud backend.
  • Collaborate with other software engineering teams to ensure interoperability with the core database and integrate research that addresses complex customer problems.

Requirements

  • Interest in JVM or system programming languages, such as C, C++, or Rust, with willingness to learn Java, Go, and Python.
  • Interest or experience in Kubernetes and cloud computing.
  • Familiarity with graph theory.
  • Master’s degree in Computer Science or a related field, or at least 3 years of professional software engineering experience.
  • Willingness to work in a distributed, remote-first team.
  • Creativity, motivation, and ability to drive independent ideas.

Culture & Benefits

  • Collaborative and friendly environment with skilled and motivated engineers.
  • Opportunity to work across cloud infrastructure, backend services, and user-facing client code.
  • Inclusive, diverse, and equitable workplace focused on relationships, innovation, and customer success.
  • Empowerment to contribute ideas and shape projects.

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