Cloud Software Engineer - Graph Analytics
Neo4jSweden6 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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About Neo4j
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.
Our Vision
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
The Role
In the graph data science (GDS) team at Neo4j, we’re 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. 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.
What You'll Do
We are seeking engineers with experience in building production-grade cloud data systems. As part of the group within GDS responsible for our cloud infrastructure, you will:
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.
At Neo4j, we’re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it’s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j’s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.
Our Vision
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
The Role
In the graph data science (GDS) team at Neo4j, we’re 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. 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.
What You'll Do
We are seeking engineers with experience in building production-grade cloud data systems. As part of the group within GDS responsible for our cloud infrastructure, you will:
- 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.
- A strong proficiency in writing Go and experience with Python.
- Experience in building, deploying, and maintaining highly scalable and available services running in Kubernetes.
- Experience in designing and using monitoring and alerting tools in the cloud (e.g. Prometheus, Grafana).
- Familiarity with Operator Pattern and Kubernetes-related frameworks like controller-runtime.
- An understanding of security best practices in the cloud.
- Processing business requirements and working with PM and the Engineering team to form clear technical requirements.
- Testing complex cloud microservices, infrastructure as code and CI/CD best practices.
- Experience in 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 another related field, or 3+ years of professional experience as a software engineer.
- 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 / remote-friendly team.
- Experience with using and developing for Snowflake/Databricks.
- Experience with JVM languages or with system programming languages, such as C, C++, Rust.
- Experience with GenAI tools and MCP servers.
Key Skills
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