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Neo4j is seeking a Software Engineer to join the Aura Infrastructure team, responsible for designing, building, and maintaining the core cloud and Kubernetes infrastructure powering Neo4j's managed graph database platform. The role combines software development and infrastructure engineering, requiring expertise in cloud infrastructure, Kubernetes, and infrastructure-as-code tooling.
Key responsibilities include designing and implementing processes and tools to improve core cloud infrastructure across multiple cloud service providers (GCP, AWS, Azure); collaborating with teammates and product managers to prioritize and build features; handling day-to-day infrastructure operations; building resilient, high-availability cloud infrastructure; investigating operational issues and developing automated solutions; and supporting a 24/7/365 service environment.
You will work with managed Kubernetes platforms (GKE, EKS, AKS), compute orchestration tools (Cluster Autoscaler, Karpenter), cloud networking and storage solutions (CSI drivers), logging infrastructure (FluentBit, Google Cloud Logging), and security systems. The team currently manages over 800 Kubernetes clusters in production and uses custom Kubernetes operators, open-source tooling, and infrastructure-as-code daily.
Required qualifications include expertise in one or more cloud service providers (AWS, GCP, or Azure); production software development experience in Go or similar languages; hands-on Kubernetes production experience including understanding of core resources (Pods, Deployments, DaemonSets, StatefulSets, PVCs, PVs) and the operator pattern; infrastructure-as-code experience with tools like Terraform, Crossplane, or cloud-native operators; and foundational knowledge of VMs, Linux, networking, and storage systems.
This is an opportunity to shape the infrastructure supporting a leading graph intelligence platform trusted by 84 Fortune 100 companies and used by the world's largest graph community.
