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DataSnipper

Excel-based AI-driven audit automation platform

Senior Site Reliability Engineer

Site Reliability EngineeringUpdated on Nov 7
Full-timeAmsterdam, Netherlands

About the Job

Requirements

  • A minimum of 5 years of experience in a DevOps or infrastructure engineering role.
  • Expertise in cloud computing platforms, ideally Microsoft Azure.
  • Expertise designing, implementing, and maintaining CI/CD pipelines using Azure DevOps for automated build, test, and deployment processes.
  • Experience setting up modern cloud environments using Docker and Kubernetes.
  • Ability to troubleshoot complex technical issues in Azure DevOps pipelines, infrastructure deployments, and application environments.
  • Strong coding skills in a modern object-oriented programming language.
  • Proficiency with AI-assisted development environments such as Cursor, GitHub Copilot, or similar.
  • Strong problem-solving skills, teamwork, and communication skills.

Responsibilities

  • 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 monitoring and alerting solutions using tools such as Prometheus and Grafana.
  • Orchestrate containerized workloads using Kubernetes for resource utilization and scalability.
  • Develop infrastructure-as-code templates using Terraform to provision and manage cloud resources.

About the Company

DataSnipper

Excel-based AI-driven audit automation platform

DataSnipper provides a subscription-based automation platform that runs inside Microsoft Excel to automate audit and finance tasks. Its Excel add-in uses AI and OCR to extract data from PDFs and documents, reconcile items, and create auditable links back to source documents; features include Table Snip, Document Matching, Financial Statement Check, and DocuMine for in-Excel document querying. DataSnipper serves large professional firms, Fortune 500s, and government agencies across 175 countries, with tiered seat-based pricing. Its goal is to cut manual data work, speed verification, and allow audit and finance professionals to focus on higher-value analysis while scaling to enterprise customers.

Company size
201-500
Company stage
Series B
Total funding
$100M
Headquarters
Amsterdam, Netherlands
Founded
2017

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