About the Role: We are seeking an innovative AI Automation DevOps Engineer to join our team. This role combines traditional DevOps responsibilitiescloud infrastructure, CI/CD pipelines, observability, and databaseswith 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.
Skills: ci,automation,cd,devops,aidevops,pipelines
