Lead the Platform Engineering function responsible for development, operation, modernization, and continuous improvement of enterprise platforms and engineering practices.
Responsibilities
Define and execute Platform Engineering strategy and roadmap
Oversee Kubernetes and Red Hat OpenShift platforms
Lead DevOps, DevSecOps, CI/CD, GitOps, Infrastructure as Code initiatives
Enhance developer experience and self‑service capabilities
Lead performance engineering and testing practices
Requirements
Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, Information Systems, or a related discipline
Design and develop secure, scalable cloud platforms to support Lely’s international operations
Compensation
A salary within the scale of € 5.015,- to € 7.163,- gross per month
Responsibilities
Design, implement, and continuously improve secure and scalable cloud platforms, with a strong focus on Microsoft Azure
Translate business and technical requirements into cloud solutions that are reliable, manageable, and ready to support Lely's international growth
Automate infrastructure and deployment processes using Infrastructure as Code and modern DevOps practices
Support development and DevOps teams in successfully adopting and operationalizing cloud solutions
Safeguard the security, compliance, availability, performance, and continuity of cloud environments while continuously identifying opportunities for improvement
Requirements
HBO working and thinking level
Nice to have: Azure Solutions Architect Expert (AZ-305)
Nice to have: DevOps Engineer Expert (AZ-400)
Nice to have: Azure Security Engineer Associate (AZ-500)
Design and deliver enterprise-scale data platforms on Microsoft Azure and Databricks, including data lake, warehouse, and lakehouse architectures, governance, security, and technical leadership.
Responsibilities
Design scalable data lake, data warehouse, and lakehouse architectures on Azure and Databricks
Define Databricks architecture covering Unity Catalog, Delta Lake, Workflows, SQL Warehouses, Lakeflow, notebooks, AI/ML and model serving
Design networking, identity and access management, security, governance, monitoring, and environment strategies
Define data integration patterns for batch, streaming, APIs, messaging, and data virtualization
Establish infrastructure automation, deployment standards, performance optimization, and cost management
Build and operate a secure, scalable, and automated Google Cloud Platform ecosystem to enable rapid deployment of AI and Generative AI solutions into production.
Compensation
The annual salary for this position is $62,500 - $99,000 USD, depending on experience, qualifications, geographic location, and other job-related factors.
Responsibilities
Build and maintain CI/CD pipelines supporting AI applications, APIs, cloud services, and model deployment workflows within Google Cloud Platform.
Design, implement, and manage Infrastructure as Code (IaC) solutions using Terraform.
Establish deployment pipelines and environment management processes across development, QA, staging, and production environments.
Support the deployment and operationalization of AI and Generative AI solutions by leveraging Vertex AI and Gemini services.
Implement monitoring, observability, logging, alerting, and operational dashboards utilizing GCP-native and industry-standard tools.
Requirements
Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.
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