Datasnipper

Senior Site Reliability Engineer

Amsterdam. Posted 19 days ago

The role

You will architect and maintain scalable infrastructure on Azure. You will automate CI/CD pipelines, coach teams on reliability, and manage containerized workloads.

What you will do

  • Lead the design, implementation, and maintenance of highly available and scalable infrastructure on Azure
  • Architect and automate CI/CD pipelines to enable rapid and reliable software delivery
  • Coach teams on reliability best practices
  • Implement advanced monitoring and alerting solutions using tools such as Prometheus and Grafana
  • Orchestrate containerized workloads using Kubernetes for optimal resource utilization and scalability
  • Develop IAC templates using Terraform to provision and manage cloud resources

Required qualifications

  • Minimum of 5 years of experience in a DevOps or infrastructure engineering role
  • Expertise in designing, implementing, and maintaining CI/CD pipelines using Azure DevOps for automated build, test, and deployment processes
  • Experience setting up modern cloud environments (Docker, Kubernetes)
  • Strong problem-solving skills and ability to troubleshoot complex technical issues in Azure DevOps pipelines, infrastructure deployments, and application environments
  • Strong coding skills in any of the modern object-oriented programming languages
  • Proficient with using AI-assisted development environment (Cursor, GitHub CoPilot or similar)
  • Excellent teamwork and communication skills

Nice to have

  • experience with Microsoft Azure is idea

Benefits

  • Equity (Stock Appreciation Rights)
  • Excellent salary package
  • Pension plan with a 6% contribution on top of your base salary
  • 28 vacation days per year
  • Daily, freshly prepared lunches by our in-house chef
  • NS business card for easy commuting to the office
  • Access to continuous learning and development initiatives
  • Company-wide events like DataSnipper GO
  • Access to OpenUp, a mental health and wellness platform
  • Friday drinks and various social activities

Before you apply

  • Chat with the recruiter - 30 minutes
  • Call with the Hiring Manager - 45 minutes
  • Online live-troubleshooting - 1 hour
  • System design - 1 hour
  • Final interview

About the company

DataSnipper builds AI solutions that empower audit and finance professionals. The company provides AI tools that make evidence easier to trace and verify.