Platform Engineer – AI & Analytics Platform

260604-OF-004

Location

Utrecht, Netherlands (Hybrid)

Contract Duration

Until May 2027

Start Date

ASAP

Hours

36 Hours per Week

Experience Required

7+ Years

Education Required

HBO (Bachelor's Degree) or equivalent

Role Overview

We are seeking an experienced Platform Engineer to join a cutting-edge AI and Analytics Platform team responsible for building and maintaining scalable, cloud-native infrastructure that supports advanced analytics, machine learning, and Agentic AI solutions.

The successful candidate will play a key role in designing, developing, and operating modern platform capabilities that enable data scientists, engineers, and AI practitioners to deliver enterprise-scale AI and analytics solutions. This position requires strong expertise in cloud platforms, Kubernetes, containerization, Infrastructure as Code, and modern observability frameworks.

Key Responsibilities

Platform Engineering

• Design, build, and maintain scalable platform infrastructure for AI, analytics, and data-driven applications.
• Develop and operate cloud-native platform services supporting enterprise AI workloads.
• Ensure platform reliability, scalability, security, and performance.
• Implement platform automation and standardization across environments.

Cloud Infrastructure

• Build and manage solutions across cloud environments, including:
  • AWS
  • Microsoft Azure
• Design resilient and highly available cloud architectures.
• Optimize cloud resources for performance and cost efficiency.

Containerization & Orchestration

• Deploy and manage containerized workloads using:
  • Kubernetes
  • Docker
• Support Kubernetes cluster operations, upgrades, and troubleshooting.
• Develop deployment strategies and platform automation for containerized applications.

AI & Agentic Platform Development

• Contribute to the development and evolution of modern AI and Agentic AI platforms.
• Support infrastructure requirements for AI, machine learning, and LLM-based solutions.
• Enable scalable deployment and operation of AI applications and services.
• Collaborate with AI engineers, data scientists, and analytics teams.

Infrastructure as Code & Automation

• Implement and maintain Infrastructure as Code (IaC) solutions using Terraform.
• Automate infrastructure provisioning, configuration, and deployment processes.
• Develop reusable platform components and deployment templates.
• Support CI/CD and DevOps best practices.

Observability & Monitoring

• Implement monitoring, logging, and observability solutions.
• Work with frameworks such as:
  • OpenTelemetry
  • Cloud-native monitoring solutions
• Develop dashboards, alerts, and operational insights.
• Improve platform reliability through proactive monitoring and incident prevention.

Open Source & AI Frameworks

• Support and integrate modern open-source AI technologies.
• Work with frameworks such as:
  • LangChain
  • LangGraph
• Evaluate and adopt emerging technologies that enhance platform capabilities.

Collaboration & Continuous Improvement

• Work closely with platform engineers, developers, data scientists, architects, and stakeholders.
• Drive continuous improvements in platform usability, performance, and security.
• Contribute to architecture discussions, technical documentation, and operational best practices.
• Participate in Agile development processes and ceremonies.

Required Skills

Must-Have

• 7+ years of experience in Platform Engineering, DevOps Engineering, Cloud Engineering, or similar roles.
• Strong hands-on experience with:
  • Kubernetes
  • Docker
  • AWS and/or Azure
  • Terraform
  • Python
• Experience designing and operating cloud-native platforms.
• Strong understanding of infrastructure automation and DevOps practices.
• Experience implementing scalable and resilient enterprise platforms.
• Strong troubleshooting and problem-solving skills.
• Excellent communication and collaboration skills.
• Fluent in English.

Preferred Skills

• Experience with Agentic AI platforms or AI infrastructure environments.
• Hands-on experience with:
  • LangChain
  • LangGraph
• Knowledge of:
  • OpenTelemetry
  • Observability frameworks
  • Distributed systems
  • AI/ML platform architecture
• Experience supporting large-scale data and analytics environments.
• Familiarity with CI/CD pipelines and GitOps methodologies.

Key Competencies

• Platform Engineering
• Kubernetes
• Docker
• AWS
• Microsoft Azure
• Terraform
• Python
• Infrastructure as Code (IaC)
• DevOps
• OpenTelemetry
• AI Platform Engineering
• LangChain
• LangGraph
• Cloud Architecture
• Automation & Orchestration