Cloud Software Engineer, Neo4j
Graph Analytics
Graph-based data analysis
Be an early applicant
Graph-based data analysis
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To help the world make sense of big data by enabling businesses and organizations to harness the power of connections and relationships in data.
Role
Who you are
- 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
- 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
What the job involves
- 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
Salary benchmarks
Our take
Innovation in database models has developed gradually over the past decade, from scale-out SQL, to key-value stores. Every now and again, something comes along to change the game, and such is the case with Neo4j.
Offered as either a self-hosted database or cloud service, Neo4j is a graph database development platform that focuses on the connections between individual data entities. This offers insights into how systems, people, locations, and seemingly unrelated data points are related so that users can address complex data questions, such as business recommendations, AI, fraud detection, and more. The company is seen as a leader in graph technology with unlimited scaling, which was demonstrated when, in 2021, it produced a record-breaking graph database with over a trillion relationships.
Graph-based data models are now crucial components for AI and machine learning applications, and Neo4j has achieved an impressive number of funding rounds and amassed hundreds of enterprise customers using its product. These include Airbnb, eBay, Lyft, and NASA, the latter of which used graph database technology from Neo4j during the development of the Orion spacecraft.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Nov 2024
$50m
LATE VC
Nov 2021
$66m
SERIES F
Total funding: $633.9m
Company HQ
Downtown, San Mateo, CA
Leadership
Emil Eifrem
(CEO)Having studied at Linköping University, they spent over 3 years as Chief Architect at Windh AB, before working as CTO for almost 5 years. They left this position in January 2007 to found Neo4j, where have worked since as CEO.
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