Cloud Software Engineer, Neo4j

• We are seeking engineers with experience in building production-grade cloud data systems
• 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

Desirable

• 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
• 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