Software Engineer, Neo4j
Self Managed Cloud
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 looking for a code-centric candidate with a background in infrastructure-as-code and an interest in systems and container technologies; you might have worked as a DevOps engineer with a strong interest in software development, Golang is the primary language in this team
- Must have experience with container and orchestration technologies (Docker, Kubernetes, Helm). In addition, any experience in the following areas is also very welcome:
- Cloud infrastructure (AWS, Azure, GCP, OpenShift)
- Operating / maintain databases in the cloud, bonus for Neo4j experience
- Infrastructure as a code
- Programming and scripting in multiple languages (Golang, Python, Bash)
- Continuous integration (we use TeamCity and Github Actions)
- Version control systems (Git)
- Configuration management tools (e.g. Ansible)
- Automated testing
What the job involves
- We are looking for a Software Engineer to join the Self-Managed Cloud team who create sthe software infrastructure customers require to install and run Neo4j in their own managed public cloud on AWS, Azure, GCP, etc
- In your daily work, you will be creating the best deployment and management experience for Neo4j to run on Kubernetes through self-service Cloud Marketplaces
- Our solutions are used by some of the worlds' largest enterprise businesses
- This role requires work across a wide range of different technologies and programming languages
- You should be comfortable working with this variety, disciplined about choosing the right technology for each situation, and interested in learning unfamiliar technologies
- Due to the close collaboration with our core database engineering teams, this role provides the opportunity to build your knowledge of low-level systems programming and database design
- Develop and maintain Helm Charts
- Package Helm charts and publish them to repositories
- Develop and update GO-based test suites to verify the functionality and reliability of Helm charts and Kubernetes configurations
- Integrate tests into the CI/CD pipeline to ensure that changes are validated before deployment
- Design, implement, and maintain GitHub Actions workflows to automate build, test, and release processes
- Implement security best practices such as managing secrets, enforcing access controls, and scanning for vulnerabilities
- Maintain comprehensive documentation for Helm charts, CI/CD pipelines, testing procedures, and infrastructure configurations
- Create and maintain templates for AWS CloudFormation, Azure Resource Manager (ARM), and Google Cloud Deployment Manager to deploy the product on each cloud platform
- Run regular tests to validate the templates across all supported platforms, ensuring that deployments are successful and free from errors
- Submit the product for publication to AWS, Azure, and GCP marketplaces, adhering to the specific requirements for each 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: $632.9m
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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