Platform Engineer (Kubernetes / Cloud / Distributed Systems)

Core Talent Finder; Berlin; Hybrid; EUR 80.000 - 130.000; Vollzeit

Zusammenfassung

A fast-growing AI infrastructure startup is seeking a Platform Engineer in Berlin to design and build the infrastructure platform for AI agents. The role involves automating provisioning and scaling customer environments, focusing on Kubernetes and distributed systems. Ideal candidates should have strong experience with cloud services and a background in CI/CD practices. The position offers compensation up to €130,000, a hybrid work environment, and opportunities to work on cutting-edge technology.

Leistungen

Compensation up to €130,000 + equity

Hybrid work environment

Company-sponsored meals

Travel opportunities

Work on cutting-edge AI technology

Qualifikationen

• Strong experience with AWS, Azure, or GCP.
• Deep experience with Kubernetes, including Operators and service meshes.
• Experience building single-tenant or multi-tenant SaaS platforms.

Aufgaben

• 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.

Kenntnisse

AWS, Azure, or GCP

Kubernetes

SaaS platforms

Distributed databases

Go, Python, or Rust

REST or GraphQL APIs

CI/CD and infrastructure automation

Security best practices

Jobbeschreibung

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.