Software Engineer, Neo4j
Enablement
Graph intelligence platform
Job no longer available
Graph intelligence platform
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To help the world make sense of data.
Role
Who you are
- The Aura Enablement team drives innovation by enhancing the Developer Experience within 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
- Strong Kubernetes experience
- Knowledge and understanding of the basic builtin resources in Kubernetes such as Pods, Deployments, StatefulSets
- Knowledge around the operator pattern in Kubernetes and how to extend the K8s api through Custom Resources
- Strong 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
- 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
Desirable
- 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 platform is performing but also how users are interacting with the platform
- Experience installing and running open source k8s operators such as cert-manager and aws-controllers-k8s
- Experience creating abstractions to simplify the local developer workflow via tooling like Make. Experience with k8s-related build tooling like kustomize or helm is also meriting
- Experience integrating software with Google Cloud Platform, AWS and Azure
- Some experience in common software observability practices such as tracing, logging and metrics exporting
What the job involves
- 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 lifecycles
- 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
- Continuous delivery
- Releasing under feature flags
- Testing in production
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 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.
Share this job
View 19 more jobs at Neo4j