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Cloud Software Engineer - Graph Analytics

Neo4j, Inc.

Camden Town

Remote

GBP 50,000 - 70,000

Full time

Today
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Job summary

A leading graph database company in the United Kingdom seeks a Software Engineer to design and implement cloud architecture for graph data science offerings. The ideal candidate will have strong proficiency in Go and Python, experience with Kubernetes, and a Master's degree in Computer Science or relevant field. The position allows for creative input and collaboration in a friendly team environment.

Qualifications

  • Experience building, deploying, and maintaining highly scalable services.
  • Ability to process business requirements into technical requirements.
  • Experience with developing production-grade software focused on performance.

Responsibilities

  • Design and implement the cloud architecture for GDS offerings.
  • Work on cloud components including API backend services.
  • Develop software primarily in Go and Python.

Skills

Strong proficiency in Go
Strong proficiency in Python
Experience with Kubernetes
Experience with monitoring and alerting tools
Understanding of security best practices
Experience with CI/CD best practices
Creativity and motivation

Education

Master's degree in Computer Science or related field
3+ years of professional experience as a software engineer

Tools

Prometheus
Grafana
Job description

In the graph data science (GDS) team at Neo4j, we are building a comprehensive and high-performance platform for graph algorithms and machine learning methods to help the world make sense of data. One of our key offerings is delivered as a SaaS product called Aura Graph Analytics. We build, monitor, and maintain this distributed compute architecture with multiple on-demand runtimes, deployed in the largest clouds via Neo4j Aura. Our users want to analyze data relationships and structures to develop answers, insights and predictions about their data. As part of the group within GDS responsible for our cloud infrastructure, you will work on products that will go directly into the hands of our customers who are using Neo4j products to identify financial crimes, perform real-time recommendations, and power knowledge graph applications.

Responsibilities
  • Design and implement the cloud architecture that forms the foundation of current and future GDS offerings.
  • Have the opportunity to learn about and enable state-of-the-art graph algorithms and ML features.
  • Work on our cloud components, which include our API backend services and Kubernetes controllers.
  • Develop software primarily in Go and Python.
  • Apply data and benchmark-driven practices to drive decision-making and design.
  • 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 other engineering teams at Neo4j to ensure interoperability with the rest of the Neo4j Aura platform.
Qualifications
  • Strong proficiency in Go and Python.
  • Experience building, deploying, and maintaining highly scalable and available services running in Kubernetes.
  • Experience designing and using monitoring and alerting tools in the cloud (e.g., Prometheus, Grafana).
  • Familiarity with the Operator pattern and Kubernetes-related frameworks such as controller-runtime.
  • Understanding of security best practices in the cloud.
  • Ability to process business requirements and work with product managers and engineering to form clear technical requirements.
  • Experience testing complex cloud microservices, infrastructure as code, and CI/CD best practices.
  • Experience developing production-grade software with a focus on performance and scalability.
  • Creativity and motivation to drive your own ideas.
  • Master's degree in Computer Science or a related field, or 3+ years of professional experience as a software engineer.
Nice to have
  • Experience with GPU programming (e.g., PyTorch), ML infrastructure, and MLOps tooling.
  • Experience with database technology (SQL, NoSQL).
  • Familiarity with graph theory.
  • Experience working in a distributed or remote-friendly team.
  • Experience with using and developing for Snowflake/Databricks.
  • Experience with JVM languages or system programming languages such as C, C++, Rust.
  • Experience with GenAI tools and MCP servers.

Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. We have a vibrant community of more than 250,000 developers, data scientists, and architects worldwide. Our cloud offering, Neo4j Aura, powers breakthrough solutions for customers such as NASA, The ICIJ, and Uber, delivering significant business value through graph technology.

Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience.

Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.

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