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. Intelligence that works. Results that matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
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.
Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it.
Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI.
We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well.
The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job.
The Role:Make Aura the place where the rest of Neo4j can build.
Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem.
You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved.
You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs.
What You'll Do:Help teams outside Aura develop in Aura:
- Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment.
- Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform.
- Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product.
- Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started.
- Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible.
Contribute to the AI domain for Aura development
- Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans.
- Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time.
- Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack.
Treat DevEx as a product
- Work closely with internal engineers (Aura and non-Aura) to identify pain points.
- Make the experience as positive as possible for someone who does not already know Aura.
- Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence.
- Strong collaboration and communication skills.
- Golang experience
- Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications.
- Some knowledge around the Golang build and packaging system.
- Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services).
- Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either.
- Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment.
- Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow.
- An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points.
- Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption.
- Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents.
- Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows.
- Experience integrating software with Google Cloud Platform, AWS, or Azure.
- Experience with observability: tracing, logging, and metrics — including for AI workflows.
#LI-Hybrid
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. Below are just a few exciting facts about Neo4j.
- Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
- 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.
- 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
- 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.
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 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 privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.
More information at www.neo4j.com.Skills Required
- Strong collaboration and communication skills
- Experience using Golang across multiple software projects, from scripting to larger microservices
- Knowledge of the Golang build and packaging system
- Software engineering experience shipping developer-facing tools, CLIs, libraries, internal platforms, or services
- Kubernetes and container literacy, including Pods, Deployments, Docker images, and cluster deployment
- Experience with modern CI/CD and Git-based workflows
- Clear technical writing for documentation, skills, and instructions
- Interest in developer pain points and ability to design solutions for onboarding and usability
- Experience with platform-as-a-product or developer experience work
- Experience maintaining AI skill files, agent instructions, MCP servers, or similar coding-agent context
- Experience with Kubernetes developer tooling such as Make, Kustomize, or Helm
- Experience integrating software with Google Cloud Platform, AWS, or Azure
- Experience with observability, including tracing, logging, and metrics for AI workflows
Neo4j Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Neo4j and has not been reviewed or approved by Neo4j.
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Healthcare Strength — U.S. medical coverage is characterized as strong with notable company contributions, alongside mental-health support, wellness initiatives, and an EAP.
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Flexible Benefits — Work arrangements are widely described as flexible and largely remote, with support such as internet/phone allowances. This flexibility is positioned as a core part of the global benefits approach.
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Career-Linked Recognition & Rewards — Sales compensation offers attractive earnings potential when targets are met, reflecting pay-for-performance structures. This aligns rewards with measurable outcomes in go-to-market roles.
Neo4j Insights
What We Do
Neo4j is the leading graph database platform that drives innovation and competitive advantage at Airbus, Comcast, eBay, NASA, UBS, Walmart and more. Thousands of community deployments and more than 300 customers harness connected data with Neo4j to reveal how people, processes, locations and systems are interrelated. Using this relationships-first approach, applications built using Neo4j tackle connected data challenges including artificial intelligence, fraud detection, real-time recommendations and master data. Find out more at Neo4j.com.
