About the role :

Our client is an international company with a concrete, company-wide AI roadmap. Its Database Engineering team is moving from traditional DBA work to an agentic model. By 2027, every engineer is expected to design and run their own autonomous agents that handle routine database operations end-to-end.

Day one is hands-on database operations using AI tooling from the command line. The long-term goal is to automate that work with agents you build yourself. This is a performance expectation, not an optional track.

Key Responsibilities:

- Operate and optimize SQL Server, PostgreSQL, Oracle and Azure SQL environments in AWS and Azure. This covers performance troubleshooting, backups, HA/DR, Always On and replication.

- Execute daily database work through AI tools and MCP connections from the command line, replacing manual processes.

- Design, build and deploy autonomous Python agents that automate DBA workflows end-to-end, with built-in safety controls and human oversight.





- Respond to incidents and support migrations, while shifting your role over time from executing tasks to supervising the agents that perform them.

Requirements:

- 5+ years as a DBA or Database Engineer, with strong SQL Server production experience

- Hands-on experience building LLM or agent-based automation, not just using ChatGPT. Examples include agents with custom tools, RAG, or MCP integrations.

- Cloud databases on AWS and/or Azure.

- Strong Python/scripting skills.

- Solid performance troubleshooting on live systems. You should know to check blocking and active sessions first, then execution plans, then what changed.

- C1 English.

- Nice to have: PostgreSQL or Oracle on RDS, Azure SQL DB, MongoDB. A data engineering background, such as streaming, high-volume ingestion or Airflow.

Job Type: Full-time

Work Location: Remote

📌 Senior Database Engineer, AI & Agentic Automation (México)
🏢 Niuro
📍 México