Software Engineer - Software Delivery Job London area,Greater London England UK,Software Development

Location: Greater London

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.

Our Vision:

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.

The Team:

Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re expanding our Software Delivery team and looking for an ambitious Engineer to join us.

Our team combines experience in pure software development and platform engineering so the combination of experience is vital for candidates interested in joining this team.

The Role:

Increase engineering efficiency by building an internal developer platform

The Software Delivery team drives innovation by enhancing the Developer Experience with in Aura. While we collaborate across all Engineering teams at Neo4j, our primary focus is on empowering Aura teams to achieve more with greater efficiency through the practice of Platform Engineering.

We aim to build intuitive self-service tools that eliminate bottlenecks, enabling engineers to focus on what they do best—delivering impactful solutions. By reducing cognitive overhead and streamlining workflows, we accelerate application delivery and amplify the business value our teams create.

This is often referred to as the golden path or the paved road.

Primary responsibilities:

Improve the speed and quality of our build system by improving our CI runners and build machinery.
Work with ArgoCD and build the future of how we deliver software to production.
Work on and improve the Kubernetes as a Control-Plane, to enable engineers to control all of their resources through Kubernetes management life cycles.
Build and improve tooling to enable engineers, for example:
Scaffolding, make it easier to create components
Provide testing frameworks to make it easier to test components
Provide a better Continuous Delivery platform with Argo Rollouts to enable testing in production
Foster a culture of modern software development practices including practices such as
Releasing under feature flags
Testing in production

What you’ll Need:

Knowledge and understanding of the basic builtin resources in Kubernetes such as Pods, Deployments, Stateful Sets.
Knowledge around the operator pattern in Kubernetes and how to extend the K8s api through Custom Resources.
Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications.
Some knowledge around the Golang build and packaging system.
Knowledge around modern continuous integration practices
Experience configuring CI/CD pipelines taking software from a merged PR to running in a production environment (most often K8s cluster).
Experience building and running docker images.
An interest in understanding the pain points of other developers and ability to come up with solutions addressing those pain points.

What’s nice if you have:

Experience with the concept of “platform as a product” where the internal developer platform is treated as any other product but of course built for internal engineers. This involves things like
Working closely with internal engineers to identify pain points
Making sure the product experience is as good as possible
Setting up observability around how the…