DevOps/MLOps Engineer
As a DevOps/MLOps Engineer, you will bridge the gap between software engineering, data science, and operations.
You will design, implement, and maintain CI/CD pipelines and scalable Azure-based infrastructures to ensure seamless deployment of AI/ML models and enterprise applications.
Key Responsibilities:
• Design and maintain CI/CD pipelines for both application and machine learning workloads.
• Manage containerized environments with Kubernetes and Docker.
• Provision and manage Azure resources using Terraform or Bicep.
• Implement monitoring and logging solutions (Azure Monitor, Prometheus, Grafana).
• Collaborate with Data Science teams to operationalize AI models.
• Ensure compliance, security, and high availability.
• Lead and mentor junior DevOps engineers.
• Actively participate in Agile ceremonies: sprint planning, daily stand-ups, sprint reviews, and retrospectives.
Mandatory Skills:
• 5+ years of experience in DevOps or MLOps roles.
• Strong experience with Azure DevOps, Kubernetes, Docker, and Infrastructure-as-Code.
• Proficiency in Python and scripting (Bash, PowerShell).
• Familiarity with MLflow, Kubeflow, or equivalent.
• Strong communication skills in English for cross-cultural collaboration.
• Proven experience working in Agile/Scrum environments.
• Microsoft Certified: Azure DevOps Engineer Expert
• Certified Kubernetes Administrator (CKA)
• Microsoft Certified: Azure AI Engineer Associate
• Professional Scrum Master (PSM)
• ITIL Foundation or PMP
What we offer:
Competitive salary
Flexible hours
Hybrid
Monthly entertainment gatherings
Free Coffee
An amazing rooftop at our office
