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 130000 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.
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 ...
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 130000 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.
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