AI Automation DevOps Engineer

About the Role: We are seeking an innovative AI Automation DevOps Engineer to join our team. This role combines traditional DevOps responsibilities—cloud infrastructure, CI/CD pipelines, observability, and databases—with designing AI agents to automate routine operational tasks. You will identify automation opportunities, build intelligent agents, and reduce manual toil across our infrastructure operations.

Key Responsibilities:
•Design, develop, and deploy AI agents to automate routine DevOps tasks.
•Integrate AI agents with platforms like Azure, Datadog, MongoDB Atlas, and Azure DevOps.
•Manage Azure cloud infrastructure and implement Infrastructure as Code (Terraform).
•Troubleshoot CI/CD pipelines and maintain build/deployment processes.
•Configure monitoring platforms (Datadog) and optimize resource usage.
•Support database operations (MongoDB, PostgreSQL, SQL Server).

Required Qualifications:
•5+ years in DevOps, SRE, or Infrastructure Engineering.
•Strong Python programming skills for AI agent development.
•Experience with Azure cloud, CI/CD pipelines, and Infrastructure as Code (Terraform).
•Familiarity with monitoring platforms and database systems.
•Experience building AI agents or intelligent automation systems (LLMs, OpenAI API, LangChain, etc.).

Preferred:
•Multi-agent systems, MLOps, workflow automation tools (n8n, Zapier).
•Responsible AI practices, cloud AI/ML certifications, internal tool development.