Full-Stack Software Engineer, Neo4j
GDS
Graph intelligence platform
Open for applications
Graph intelligence platform
501-1000 employees
Open for applications
501-1000 employees
Company mission
To help the world make sense of data.
Role
Who you are
- We’re looking for engineers with experience in both frontend and backend development. You should have experience designing APIs, implementing data persistence, and integrating with third-party services. Familiarity with automated testing approaches, from unit testing to full-stack integration tests, is important. A willingness to learn, grow, and tackle new challenges as part of a distributed and collaborative team is essential
- Experience building and shipping production-quality software
- Strong TypeScript / JavaScript skills and significant frontend experience in production codebases
- Solid experience with React and modern frontend tooling (such as Tailwind)
- Comfort collaborating with designers in Figma (or similar tools) and translating designs into accessible, responsive UI
- A user-centric mindset and a genuine interest in product UX, not just shipping components
- Experience creating API services in Golang, Java or Python
- 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
Desirable
- Experience working with Spotify’s Backstage framework
- Familiarity with graph data, graph algorithms, or data-science workflows
- Experience with Python-based UI tooling such as Streamlit and AnyWidget
- Experience with Snowflake, Snowpark, and building UIs that run inside a Snowflake Native App
What the job involves
- Neo4j is the leader in graph analytics, and our cloud platform is at the heart of powering data-driven innovation for thousands of users worldwide. We are on the lookout for versatile Full-Stack Engineers to help us design and build exceptional features that lower the bar for users to perform graph analytics
- In this role, you will own the user-facing surface of those products. You'll help new users get to value quickly by reducing friction in their first workflows, and make our internal tooling effective enough that the rest of the team can support and operate the service confidently
- You will work closely with our internal design system at neo4j.design, and collaborate across product, design, backend, and SRE to ship cohesive, end-to-end experiences
- This is a mid-to-senior role at the intersection of product UX, graph analytics, and cloud data platforms
- As a Software Engineer, you’ll play a key role in delivering impactful features that enhance how users interact with Neo4j Aura graph analytics. You’ll work on everything from user-friendly interfaces to robust back-end systems, ensuring our solutions are scalable, reliable, and adaptable to diverse user needs
- Build and evolve the Aura Graph Analytics user experience inside the Neo4j Aura console
- Develop and maintain the in-app GUI for the Neo4j Graph Analytics App for Snowflake, an application that guides users through a multi-step workflow: selecting Snowflake data, projecting them as graphs, configuring and running algorithms, and writing back
- Design the graph-projection and algorithm-configuration UX for users who are not graph experts: clear workflow steps, sensible defaults, validation, and interactive previews of sampled graphs
- Improve the internal support tooling used to inspect the state of Aura Graph Analytics deployments and diagnose customer issues
- Use our shared design system (neo4j.design) so our products feel like one family
- Partner closely with product, design, backend, and SRE to ship cohesive end-to-end experiences across team boundaries
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 11 rounds)
Nov 2024
$50m
LATE VC
Nov 2024
$1.7m
GRANT
Total funding: $635.3m
Company benefits
- Competitive health and financial programs tailored to each region
- Work-life balance initiatives
- Cross-functional collaboration opportunities
- Employee Resource Groups (ERGs)
- Mentorship programs
Company HQ
Hayward Park, San Mateo, CA
Leadership
Emil Eifrem
(Co-Founder & 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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