At a Glance
- Tasks: Design and implement cloud architecture for cutting-edge graph analytics solutions.
- Company: Join Neo4j, the leader in Graph Database & Analytics with a vibrant community.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of data analytics while working on impactful projects.
- Qualifications: Proficiency in Go and Python, experience with cloud services and Kubernetes.
- Other info: Dynamic team environment with a strong focus on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
LondonAbout 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 its 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.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 doWe 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.
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 Neo4jNeo4j is, without question, the most popular graph database 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. Below are just a few exciting facts about Neo4j.
Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
A recent Forrester Total Economic Impact Study cited Neo4j as delivering 417% ROI to customers.
Neo4j was named as a Visionary in the 2023 Gartner Magic Quadrant for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave: Vector Databases, Q3 2024.
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 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:orward}), we -[:WELCOME]->(:Discussions {nature: \’IntellectuallyHonest\’}), we -[:DELIVER_ON]->(ourCommitments)
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Cloud Software Engineer - Graph Analytics employer: Neo4j Inc
Contact Detail:
Neo4j Inc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Software Engineer - Graph Analytics
✨Tip Number 1
Network like a pro! Reach out to current employees at Neo4j on LinkedIn, ask them about their experiences, and get the inside scoop. This can give you valuable insights and might even lead to a referral!
✨Tip Number 2
Prepare for technical interviews by brushing up on your Go and Python skills. Practice coding challenges and be ready to discuss your past projects, especially those involving cloud infrastructure and Kubernetes.
✨Tip Number 3
Showcase your passion for graph databases! During interviews, share your thoughts on how graph analytics can solve real-world problems. This will demonstrate your enthusiasm and understanding of Neo4j's mission.
✨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 team.
We think you need these skills to ace Cloud Software Engineer - Graph Analytics
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.
Showcase Your Projects: Don’t just list your skills; show us how you’ve used them! Include examples of projects where you’ve built scalable services or worked with Kubernetes. This helps us see your practical experience in action.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point!
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 Inc
✨Know Your Graphs
Make sure you brush up on graph theory and how it applies to data analytics. Neo4j is all about uncovering relationships in data, so be prepared to discuss how you've used graph databases in your previous work or projects.
✨Showcase Your Coding Skills
Since the role requires proficiency in Go and Python, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges in these languages beforehand.
✨Understand Cloud Infrastructure
Familiarise yourself with cloud services and Kubernetes, as these are crucial for the position. Be prepared to discuss your experience with deploying and maintaining scalable services, and any monitoring tools you've used like Prometheus or Grafana.
✨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, especially in a remote or distributed setting.