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1 день назад

Senior DevOps Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior DevOps Engineer (Infrastructure/Data): Designing and maintaining secure, scalable, and automated infrastructure for a data-intensive, AI-assisted engineering organization with an accent on Kubernetes orchestration, IaC, and high-throughput data systems. Focus on building robust PAAS environments, optimizing CI/CD pipelines, and driving a culture of automation and security.

Location: Utrecht (Onsite)

Company

hirify.global is an organization focused on building data-intensive systems and AI-assisted engineering solutions.

What you will do

  • Architect and maintain scalable, secure, and highly available infrastructure environments.
  • Manage cloud-native and PAAS-based deployments using Kubernetes, PostgreSQL, and Redis.
  • Implement Infrastructure as Code (IaC) practices to ensure consistent provisioning.
  • Build and optimize CI/CD pipelines supporting AI-assisted development workflows.
  • Design and operate Big Data infrastructure including streaming and batch processing.
  • Establish observability best practices and lead incident response processes.

Requirements

  • 10+ years of professional experience in DevOps or infrastructure engineering.
  • Proven track record of setting up infrastructure from scratch.
  • Strong background in security engineering and DevSecOps principles.
  • Expertise with Kubernetes, containerization, and IaC tools like Terraform or Pulumi.
  • Experience with Big Data ecosystems such as Kafka, Spark, Flink, or ClickHouse.
  • Excellent English communication skills (Dutch is a strong plus).

Nice to have

  • Experience with AWS, GCP, or DigitalOcean.
  • Proficiency in Dutch language.

Culture & Benefits

  • Opportunity to define and operate PAAS and data infrastructure from the ground up.
  • Direct collaboration with backend, data, and product teams.
  • Emphasis on automation, ownership, and technical excellence.
  • Focus on continuous improvement through post-mortem reviews and incident response.

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