DevOps EngineerDevOps 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.