Platform Engineer

Cognee is building the memory engine + data plane for AI agents to plan, reason, and act. Our open-source Python SDK is in production at 70+ companies, hit GitHub Trending, and runs 550 000 times a month . We’ve won early customers (top 10 Pharma etc) and just raised a large Seed.

We are building a next-generation single-tenant platform that allows customers to deploy and manage dedicated Cognee environments at scale. We are looking for a Platform Engineer to design and build the control plane that automates the provisioning, isolation, and scaling of Relational, Graph and Vector database stacks for every new customer.

• Tenant Orchestration: Design a multi-cluster control plane to provision dedicated Cognee deployments within minutes of a user signing up.
• Infrastructure as Code: Maintain and scale global infrastructure using Terraform or Pulumi to manage hundreds of isolated customer environments.
• High-Density Isolation: Implement strict compute and storage isolation using Kubernetes Namespaces, vCluster, or dedicated node pools to ensure zero cross-tenant data leakage.
• AI Stack Management: Optimize the lifecycle of Vector databases (Qdrant) and Graph stores (Neo4j) integrated with the Cognee engine.
• Automated Scaling: Build intelligent auto-scaling policies that respond to heavy LLM-based graph processing workloads.

• Knowledge of AWS, Azure, or GCP services (VPC, IAM, S3, RDS) and multi-region deployment strategies.
• Kubernetes: Deep experience with K8s Operators, Custom Resource Definitions (CRDs), and Service Meshes (Istio/Linkerd) for routing tenant traffic.
• Single-Tenant Architecture: Proven track record of building "SaaS-link" platforms where each user receives an isolated instance of the application.
• Database Ops: Experience managing distributed databases at scale, specifically PostgreSQL, Vector (Qdrant) or Graph (Neo4j). Bonus for FalkorDB and others
• Mastery of Go, Python, or Rust for building platform tools and high-performance microservices.
• API Design: Excellence in REST, GraphQL, and OpenAPI specifications to create intuitive platform interfaces
• Automation: Expert-level proficiency in CI/CD pipelines and infrastructure automation.
• Security Mindset: Knowledge of SOC2/GDPR compliance, specifically regarding data encryption at rest and in transit within isolated environments.

Up to 130 000 EUR + Equity

Company sponsored meals

Trips to San Francisco

Fetch breaks with the office dog