Senior DevOps Engineer (Azure AI / GenAI Solutions)

New
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EPAM SystemsAI cloud solutions
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English proficiency at B2 level or higher
Experience
3+ years of hands-on production experience with Azure, Azure DevOps, and Azure Kubernetes Service (AKS)
Required Skills
Microsoft AzureAzure DevOps

Requirements

  • Have 3+ years of hands-on production experience with Azure, Azure DevOps, and Azure Kubernetes Service (AKS).
  • Demonstrate proficiency in Azure AI Search and AI Services (Foundry).
  • Have experience with n8n and LangSmith.
  • Know WAFs, firewalls, and Private Links.
  • Have experience working in secure enterprise environments with restricted access and governance controls.
  • Have experience supporting production systems through ticket-driven operational processes.
  • Be able to coordinate activities across multiple teams and stakeholders.
  • Be able to work independently with minimal supervision and drive tasks to completion.
  • Have English proficiency at B2 level or higher.
  • Experience with Dataiku or similar data science platforms is a plus.
  • Familiarity with OpenWebUI is a plus.
  • Experience supporting R&D initiatives, proofs of concept, and rapid prototyping environments is a plus.
  • Experience with monitoring, logging, and observability tools is a plus.

Responsibilities

  • Support DevOps activities for Azure-based AI and GenAI solutions.
  • Support and maintain Azure Kubernetes Service (AKS) environments.
  • Work with Azure DevOps pipelines, release processes, and deployment activities.
  • Support and troubleshoot Azure AI Search and AI Services (Foundry).
  • Support and maintain operational workflows involving n8n and LangSmith.
  • Coordinate activities related to WAFs, firewalls, private networking, and secure connectivity.
  • Monitor, investigate, and help resolve operational and deployment-related issues.
  • Manage tickets, service requests, approvals, and dependencies across teams.
  • Collaborate with development, QA, infrastructure, security, and platform teams to deliver changes and resolve issues.
  • Drive DevOps activities through completion and follow up on open actions.
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