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EPAM Systems

Lead DevOps Engineer (Azure AI / GenAI Solutions)

Posted Updated
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We are seeking a Lead DevOps Engineer to support AI platforms and applications running on Azure while operating within enterprise processes, security requirements, and operational constraints. This role goes beyond traditional infrastructure-focused DevOps work, combining hands-on engagement with Azure-based services and platforms, operational ownership, and cross-team coordination. The successful candidate will work closely with the development team rather than the infrastructure team, operating with limited access to Azure resources. A significant part of the work involves ticket-driven processes, coordination with other teams, follow-ups, and ensuring tasks are completed end-to-end. The ideal candidate understands how Azure-based services work, can operate effectively in a secure and highly controlled environment, and is comfortable taking ownership of operational activities, dependencies, and delivery outcomes.

Responsibilities

  • Support DevOps activities for Azure-based AI and GenAI solutions
  • Maintain Azure Kubernetes Service (AKS) environments
  • Manage Azure DevOps pipelines, release processes, and deployment activities
  • Troubleshoot Azure AI Search and AI Services (Foundry)
  • Maintain operational workflows involving n8n and LangSmith
  • Coordinate activities related to WAFs, firewalls, private networking, and secure connectivity
  • Monitor, investigate, and resolve operational and deployment-related issues
  • Track tickets, service requests, approvals, and dependencies across multiple teams
  • Collaborate with development, QA, infrastructure, security, and platform teams to deliver changes and resolve issues
  • Drive DevOps-related activities from initiation to completion and ensure timely follow-up on open actions
  • Contribute to secure, reliable, and efficient operation of cloud-based solutions

Requirements

  • 5+ years of hands-on production experience with Azure, Azure DevOps, and Azure Kubernetes Service (AKS)
  • Proficiency in Azure AI Search, AI Services (Foundry), and secure connectivity components such as WAFs, firewalls, and Private Links
  • Hands-on production experience with n8n and LangSmith
  • Experience working in secure enterprise environments with restricted access and governance controls
  • Experience supporting production systems through ticket-driven operational processes
  • Ability to coordinate activities across multiple teams and stakeholders
  • Strong ownership mindset and ability to drive tasks to completion
  • Strong organizational, communication, and follow-through skills
  • Ability to work independently with minimal supervision
  • English proficiency at B2 level or higher

Nice to have

  • Experience with Dataiku or similar data science platforms
  • Familiarity with OpenWebUI
  • Experience supporting R&D initiatives, proofs of concept, and rapid prototyping environments
  • Experience with monitoring, logging, and observability tools

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers

CORPORATE BENEFITS

  • Extra leave days
  • Referral bonuses

COMPENSATION PACKAGE

  • Competitive compensation paid in USD
  • Regular salary and performance reviews

MEDICAL & HEALTHCARE

  • Private health insurance
  • Well-being events

WORKING ENVIRONMENT

  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Skills

See also

AI Engineering jobs by country — openings, pay and top skills →

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