Platform Engineer (Kubernetes / Cloud / Distributed Systems)

Platform Engineer (Kubernetes / Cloud / Distributed Systems)

Berlin, Germany (Hybrid) | Full-time

We are recruiting on behalf of a fast-growing AI infrastructure startup building a next-generation memory engine and data platform for AI agents used in production by dozens of companies worldwide.

Their open-source SDK is widely adopted and growing rapidly, and the team is now building a single-tenant platform that allows customers to deploy and manage dedicated environments at scale.

About the Role

We are looking for a Platform Engineer to design and build the control plane and infrastructure platform that automates provisioning, isolation, and scaling of customer environments.

This role focuses on Kubernetes, infrastructure automation, distributed databases, and multi-tenant architecture supporting high-performance AI workloads.

You will play a key role in building the infrastructure foundation for a rapidly scaling AI platform.

Responsibilities

Design and build a control plane to provision dedicated customer environments

Implement infrastructure as code using Terraform or Pulumi

Build and maintain Kubernetes-based platforms for isolated workloads

Design high-density isolation strategies to ensure strict data separation

Manage and optimize distributed database stacks including relational, vector, and graph databases

Implement auto-scaling systems for compute-intensive AI workloads

Build APIs and platform tooling for deployment and orchestration

Maintain CI / CD pipelines and automation workflows

Ensure security, compliance, and reliability of infrastructure

Requirements

Strong experience with AWS, Azure, or GCP

Deep experience with Kubernetes (Operators, CRDs, service meshes)

Experience building single-tenant or multi-tenant SaaS platforms

Experience operating distributed databases at scale (PostgreSQL, Vector DB, or Graph DB)

Proficiency in Go, Python, or Rust

Experience designing REST or GraphQL APIs

Strong experience with CI / CD and infrastructure automation

Solid understanding of security best practices and compliance standards

Nice to Have

Experience with vector databases or AI infrastructure

Experience with graph databases such as Neo4j

Experience working in fast-growing startups or open-source environments

Whats Offered

Compensation up to €130,000 + equity

Hybrid work environment in Berlin

Company-sponsored meals

Travel opportunities and team offsites

Opportunity to work on cutting-edge AI infrastructure technology

How to Apply

If youre interested in this opportunity, please apply.