Lead AI Platform Engineer

Lease a Bike | Deutschland

. Co-own the AI platform with the Head of Data & AI .

Posted 10/26/2026full-timeRemote • GermanySenior💰 €95,000 - €110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in platform engineering and cloud architecture, with a strong focus on AWS, Terraform, and CI/CD practices. Capable of mentoring teams, implementing security standards, and ensuring responsible AI usage while managing production workloads.

Highest-signal resume keywords

AWS ExpertiseTerraform ExperienceCI/CD ImplementationPlatform EngineeringMLOps Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Platform EngineeringDevOpsCloud EngineeringMLOpsTerraformAWS CDKCI/CDDockerWorkflow OrchestrationModel Access Management

Soft Skills

MentoringCommunicationDecision-MakingCollaboration

Tools & Technologies

AWS BedrockGitLabSnowflakeAirflowKubernetes

Industry Keywords

GDPREU AI ActAccess ControlAudit LoggingCost Control

Tech Stack

Tools & technologies

AirflowAWSCloudDockerKubernetesTerraform

About the role

Key responsibilities & impact

Co-own the AI platform with the Head of Data & AI
Define the platform architecture, roadmap, and build-versus-buy decisions
Set infrastructure, access, and deployment standards with IT, security, and ML/AI engineers
Build AI platform components with Terraform on AWS and the cloud engineering team's GitLab setup
Operate AWS Bedrock as the model gateway, including access, guardrails, quotas, and cost per team
Scale SageMaker and GPU workloads
Decide when managed APIs are sufficient
Provide orchestration and CI/CD integrated with Snowflake
Build reusable components and self-service deployment capabilities
Provide tracing, evaluation, monitoring, and cost visibility for models and agents
Implement least-privilege access, audit trails, and technical guardrails for responsible AI
Help non-technical colleagues use approved AI tools safely
Mentor junior colleagues and establish engineering standards as the AI team grows

Requirements

What you’ll need

6+ years of experience in platform engineering, DevOps, cloud engineering, or MLOps
Experience designing and running platforms in production
Strong AWS skills
Hands-on Terraform or AWS CDK experience
Experience with access control, secrets, and audit logging
Experience with CI/CD, such as GitLab CI
Docker experience
Workflow orchestration experience, such as Airflow
Snowflake or comparable cloud data platform experience
Experience running ML and LLM workloads in production
Experience with managed model access, such as AWS Bedrock or comparable platforms
Experience with guardrails, evaluation, and cost control
Ability to make and defend architecture decisions
Ability to guide other engineers
Daily use of AI coding tools
Ability to explain trade-offs to non-technical colleagues
Fluent English
Conversational German or Dutch is a nice-to-have
Experience with MCP servers or other AI agent infrastructure is a nice-to-have
Experience with Kubernetes and self-hosted model serving, such as vLLM, is a nice-to-have
Working knowledge of GDPR and the EU AI Act is a nice-to-have

Benefits

Comp & perks

Bike lease and bike purchase subsidy
Home office equipment
Learning budget
Conference days
100% remote work from anywhere in the EU
Regular team meetings in one of the operating countries