Lead AI Platform Engineer

🔥 3 minutes ago

🇩🇪 Germany – Remote

💵 €95k - €110k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Logo of Lease a Bike | Deutschland

Lease a Bike | Deutschland

51 - 200 employees

Founded 2015

📦 Logistics

🏥 Healthcare

💼 Consulting

Logistics • Healthcare • Consulting

Lease a Bike | Deutschland is a German provider of employer-sponsored bike leasing and mobility services. The company operates a digital portal that lets employers register, configure policies, approve employee leases, and manage payroll-related administration for salary-sacrifice bike leasing. Lease a Bike partners with a large network of bicycle retailers, offers all-inclusive service and insurance options, customer support, CO₂ savings tools, and is backed by Volkswagen Financial Services and Pon. Bike.

📋 Description

• 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

• 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

• 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

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