DevOps Engineer (Microsoft Azure)

Job Summary:

Azure

Key Responsibilities:

• Deploy, scale, and monitor AI applications on Microsoft Azure (AKS, Azure Functions, App Services, etc.).
• Build and optimize AI Agentic systems for robust and efficient performance.
• Implement CI/CD pipelines for seamless updates and deployments.
• Manage containerized services using Docker/Kubernetes.
• Monitor infrastructure cost, performance, and uptime.
• Collaborate with AI engineers to understand application requirements and support smooth deployment.
• Ensure compliance with data security and privacy standards.

Requirements:

• 2+ years of experience in deploying and managing AI/ML applications.
• Proficiency in Azure cloud services and DevOps practices.
• Familiarity with LLM-based systems, LangChain, Vector DBs, and Python.
• Experience with containerization tools (Docker) and orchestration (Kubernetes).
• Understanding of AI system architecture, including Agentic workflows.
• Strong problem-solving and optimization skills.

Preferred Qualifications:

• Knowledge and experience with Microsoft Azure

• Experience with Gemini, OpenAI, Anthropic, or Hugging Face APIs.
• Familiarity with LangChain, LlamaIndex, or ChromaDB.
• Prior experience in managing high-availability, secure, and cost-optimized AI deployments.