DevOps Engineer - Agentic AI

DevOps Engineer with Agentic AI experience
Core must-haves (screen for these explicitly)

• Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
• Modern multi-agent architecture experience: hands-on designing/implementing systems where multiple AI Agents collaborate.
• Strong understanding of agentic frameworks/tools: candidates must be able to name the frameworks used, explain why chosen, and describe components.
• Protocols knowledge with practical relevance: working knowledge (preferably applied) of MCP, A2A, ACP—and ability to explain how they're used in real-world AI Agent systems.
• Architecture & design contribution capability: candidate should be able to contribute to solution architecture, discuss trade-offs/pros-cons, and guide design decisions for agentic systems.
• Strong proficiency in devops practices and tools.
• Proficient in python programming language.
• Experience with kubernetes and containerization technologies.
• Knowledge of ci/cd pipelines and automation tools.
• Ability to lead and motivate a technical team effectively.
• Excellent problem-solving and communication skills.
• Strong analytical and decision-making abilities.

Certifications: Relevant certifications in DevOps, python, or Kubernetes are a plus.