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Senior Platform Engineer (Cloud & DevOps) – Berlin, Germany

clera United State
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AI Summary

Join a seed-stage AI platform startup in Berlin as a Senior Platform Engineer to design, deploy, and maintain scalable, secure cloud infrastructure across AWS, Azure, GCP, and OpenShift. You’ll optimize CI/CD pipelines, automate deployments, and collaborate with product teams and enterprise clients to ensure compliant AI platform operations. Requires 3+ years of hands-on platform engineering experience and native-level German for client interactions.

Key Highlights
Build and maintain cloud-native platform infrastructure across AWS, Azure, GCP, and OpenShift
Lead CI/CD pipelines, automation, and secure operations for enterprise AI deployments
Collaborate with product engineers and customer IT teams to enable scalable, compliant AI integrations
Key Responsibilities
Manage and optimize CI/CD pipelines for automated testing, building, and deployment across cloud environments
Deploy and maintain the platform infrastructure on AWS, Azure, GCP, and OpenShift using Infrastructure as Code (Terraform/Bicep)
Automate infrastructure provisioning, monitor application performance, and ensure cost optimization and security compliance
Technical Skills Required
Amazon Web Services Kubernetes Terraform
Benefits & Perks
$75,000 – $120,000 USD annual salary (or local equivalent)
Visa sponsorship available
On-site role in Berlin, Germany
Nice to Have
Security best practices implementation
Strong collaboration with customer IT teams and cross-functional stakeholders
Solid computer science fundamentals

Job Description


About The Role

A fast-growing, seed-stage enterprise AI platform startup based in Berlin is looking for a Platform Engineer to help build and maintain the backbone of their platform. This is a full-time, on-site role in Berlin where you'll drive deployment, automation, and secure operations across customer cloud environments. You'll work closely with both internal product engineers and customer IT teams to enable scalable, compliant AI deployments for enterprise clients.

The company operates in the B2B AI/SaaS space, delivering a security-first, model-agnostic platform that helps large organizations adopt and integrate generative AI across their operations. They are backed by well-known institutional investors and have grown to serve thousands of enterprise customers.

Note: Visa sponsorship is available for this role.

What You'll Do

  • Manage and continuously improve CI/CD pipelines for automated testing, building, and deployment
  • Deploy and maintain the platform across multiple customer cloud environments (GCP, AWS, Azure, OpenShift)
  • Automate infrastructure provisioning using Infrastructure as Code tools (Terraform, Bicep)
  • Monitor and optimize application performance and infrastructure costs
  • Ensure security and compliance across different cloud environments
  • Collaborate with Product Engineers to support new feature deployments
  • Troubleshoot and resolve infrastructure and deployment issues
  • Document deployment processes and maintain runbooks for different environments

What We're Looking For

Must-haves:

  • 3+ years of software engineering experience, with hands-on platform or infrastructure engineering responsibilities
  • Native-level German or B2 proficiency — required for customer communications with enterprise IT teams
  • Experience deploying and operating an enterprise platform across major cloud providers (Azure, AWS, GCP) and OpenShift
  • Hands-on experience with Kubernetes, Docker, Terraform, Azure Container Apps, and GitHub Actions
  • Experience with PostgreSQL and Redis in production environments

Nice to have / strongly valued:

  • Ability to implement security best practices and ensure platform reliability in cloud deployments
  • Strong collaboration and communication skills with customer IT teams and cross-functional stakeholders
  • Solid computer science fundamentals

Compensation & Benefits

  • Salary: $75,000 – $120,000 USD per year (or local equivalent)
  • Visa sponsorship available

Location

  • Berlin, Germany — on-site
  • This is not a remote role; regular in-office presence in Berlin is expected


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