Job Description

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

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