Software Engineer, Neo4j
Site Reliability Engineering
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
- We're interested in hearing from Engineers with deep experience in some of the following areas
- Writing backend tools and automation in Go—our primary language—with an emphasis on sound architecture, testing, and maintainability. Strong software skills in other languages, like Python, are also welcome
- Applying SRE practices in real-world environments: defining SLIs and SLOs, reducing toil through automation, and driving reliability through engineering
- Collaborating with other teams to promote SRE thinking—educating on principles like observability, ownership, and service level objectives
- Troubleshooting large-scale, cloud-based systems with confidence and curiosity
- Monitoring distributed systems and understanding their performance characteristics
- Designing systems with reliability, safety, and debug-ability as first-class concerns
- Working with observability tools like OTel Collector, Prometheus, Grafana, and Google Cloud’s operations suite
- Deploying and managing applications on Kubernetes; cluster-level administration is a plus
- Managing infrastructure with Kustomize and Terraform—keeping it clear, modular, and easy to evolve
- Building and maintaining CI/CD workflows—ours run on GitHub Actions
- Participating in on-call rotations and incident response with a focus on improvement, not blame
- Writing and contributing to postmortems that lead to meaningful, lasting changes
What the job involves
- The Site Reliability Engineering team’s mission is to improve the reliability of Neo4j’s DBaaS product: Neo4j Aura. Operating at global scale across all three major cloud providers, Aura runs hundreds of Kubernetes clusters and hosts thousands of Neo4j instances in production at any given time
- You’ll be joining a team focused on long-term resilience, engineering excellence, and meaningful collaboration with product teams
- Automate for insight and scale: Build systems that make troubleshooting fast, safe, and scalable across thousands of Neo4j instances. From internal tools that surface clear insights to canaries that support safe rollouts, you’ll focus on automation that elevates reliability engineering
- Treat operations as a software problem: Replace tribal knowledge and ad-hoc scripts with tools and systems that codify best practices—making operations predictable, scalable, and repeatable
- Design for resilience, learn from failure: Own and evolve the tooling and processes behind incident response. From clear alerts to blameless reviews, you’ll help ensure teams respond with confidence and learn with clarity
- Champion reliability as a product feature: Help teams define and act on SLIs and SLOs, turning reliability into a shared, data-driven priority across engineering
- Create signals, not noise: Shape an observability stack that tells us what matters, when it matters—so we can detect issues early and resolve them quickly
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: $633.7m
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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