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DevOps Engineer – Ensure Scalability and Reliability

Madiff

Role overview

Qualifications

  • 3+ years of experience in DevOps or cloud engineering
  • Proficiency in tools like Docker, Kubernetes, and Terraform
  • Strong knowledge of cloud platforms and system monitoring tools
  • Experience with AI/ML infrastructure is a plus

Responsibilities

  • Set up and manage cloud infrastructure (AWS, GCP, or Azure)
  • Implement CI/CD pipelines for rapid development and deployment
  • Monitor system performance and troubleshoot issues
  • Ensure data privacy and compliance with regulations (e.g., GDPR)

Key facts

Hard skills

About the company

Madiff logo

Madiff

Artificial Intelligence & Machine Learning Services

We are an international Innovation, IT and high-tech engineering consulting company that delivers unique value in a wide variety of industries. Our mission is to add value to our customers businesses by providing digital and technological innovation services, delivering disruptive results and making our clients stand out in their market. We are driven by a creative and innovative consulting approach strongly oriented to getting results. We MAKE THE DIFFERENCE. Poland | UK | Switzerland | USA | Norway | Portugal | Spain | France | Singapore Warsaw Prosta 20 Wrocław Rybacka 7 Lublin Grottgera 2

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

This is a remote position.

As our DevOps Engineer, you’ll be the backbone of our infrastructure, ensuring our AI system is reliable, secure, and scalable. You’ll set up cloud infrastructure, implement CI/CD pipelines, and monitor system performance to deliver a seamless experience for the customers of the AI system.

Responsibilities:
​
  • Set up and manage cloud infrastructure (AWS, GCP, or Azure).
  • Implement CI/CD pipelines for rapid development and deployment.
  • Monitor system performance and troubleshoot issues.
  • Ensure data privacy and compliance with regulations (e.g., GDPR).
  • Collaborate with the engineering team to optimize infrastructure for AI workloads.


Requirements

  • 3+ years of experience in DevOps or cloud engineering.
  • Proficiency in tools like Docker, Kubernetes, and Terraform.
  • Strong knowledge of cloud platforms and system monitoring tools.
  • Experience with AI/ML infrastructure is a plus.
  • Top engineering school from Poland or Europe


Benefits

  • Solid, competitive salary
  • Work in multilingual, multinational and multicultural environment on international projects
  • Comprehensive healthcare
  • Long-term B2B contract with stable project pipeline
  • Fully remote model

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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