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- Tasks: Design and implement cloud architecture for cutting-edge graph analytics products.
- Company: Join Neo4j, the leading graph intelligence platform transforming data into knowledge.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact by working on innovative projects that solve complex data challenges.
- Qualifications: Proficiency in Go and Python, with experience in cloud systems and Kubernetes.
- Other info: Be part of a dynamic team in a fast-scaling tech company with a strong community.
The predicted salary is between 36000 - 60000 £ per year.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community.
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.
What you'll do:
- 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.
What you'll bring:
- 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.
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 / 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.
Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics.
Neo4j is committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.
Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:
- (we)-(:VALUE)->(relationships)
- (we)-(:FOCUS_ON)->(userSuccess)
- (we)-(:THRIVE_IN)->(:Culture {type: (‘Open’, ‘Inclusive’)})
- (we)-(:ASSUME)->(:Intent {direction:’Positive’})
- (we)-(:WELCOME)->(:Discussions {nature: ‘IntellectuallyHonest’})
- (we)-(:DELIVER_ON)->(ourCommitments)
Neo4j is committed to protecting and respecting your privacy. Please read the to understand how we will handle the personal data that you provide.
Cloud Software Engineer - Graph Analytics in London employer: Neo4j
Contact Detail:
Neo4j Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Software Engineer - Graph Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Neo4j on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the GDS team. Personal connections can make a huge difference!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your projects, make sure to highlight that when you apply. Demonstrating your experience with Go, Python, or cloud systems can really set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on graph theory and cloud architecture concepts. Be ready to discuss how you’ve tackled challenges in previous roles, especially those related to scalability and performance. We love hearing about real-world problem-solving!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Neo4j family. Let’s get you on board!
We think you need these skills to ace Cloud Software Engineer - Graph Analytics in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Cloud Software Engineer role. Highlight your experience with Go, Python, and cloud infrastructure, as these are key to what we’re looking for at Neo4j.
Show Off Your Projects: If you've worked on any relevant projects, especially those involving graph algorithms or cloud services, don’t hold back! Share them in your application to give us a taste of your skills and creativity.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your technical skills and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows your enthusiasm for joining the Neo4j team!
How to prepare for a job interview at Neo4j
✨Know Your Graphs
Make sure you brush up on graph theory and how Neo4j leverages it. Be ready to discuss how graph algorithms can solve real-world problems, especially in areas like financial crime detection or real-time recommendations.
✨Showcase Your Coding Skills
Since you'll be working with Go and Python, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process.
✨Understand Cloud Infrastructure
Familiarise yourself with cloud architecture, particularly Kubernetes and monitoring tools like Prometheus and Grafana. Be prepared to discuss your experience in building and maintaining scalable services in a cloud environment.
✨Emphasise Collaboration
Neo4j values teamwork, so highlight your experience working in collaborative environments. Share examples of how you've partnered with other teams to achieve common goals, and be ready to discuss how you handle feedback and contribute to a positive team culture.
