DevOps Engineer – Ensure Scalability and Reliability

Madiff

United States

Remote

USD 110,000 - 170,000

Full time

4 days ago
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Benefits offered by this job

Solid, competitive salary
Multinational, multilingual teams on国际
Comprehensive healthcare
Long-term B2B contract with stable项目
Fully remote model

Job summary

Madiff is seeking a DevOps Engineer for a fully remote position in the United States. You’ll be the backbone of our infrastructure, ensuring our AI system is reliable, secure, and scalable.

You’ll set up cloud infrastructure (AWS/GCP/Azure), implement CI/CD pipelines, monitor performance, and ensure data privacy and regulatory compliance. Join a multilingual, multinational team on international projects with a long-term B2B contract and comprehensive healthcare.

Qualifications

  • 3+ years of experience in DevOps or cloud engineering.
  • Experience with AWS, GCP, or Azure and CI/CD pipelines.
  • Familiarity with data privacy and GDPR/compliance considerations.

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.

Skills

Cloud platforms
System monitoring
AI/ML infrastructure
CI/CD practices
Security compliance

Education

Top engineering school from Poland or Europe

Tools

Docker
Kubernetes
Terraform

Job description

Location: United States

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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