Database Administrator — High Availability (Remote/Flex)

AgileEngine, LLC.; Buenos Aires; Hybrid; ARS 92,983,000 - 185,966,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime: remote & office options

Job summary

AgileEngine, LLC. is seeking a hands-on Database Administrator to manage, secure, and tune high-availability production databases across engineering teams.

This is a practical DBA role focused on database administration, performance, security, and reliability—not data engineering. The role requires 3–4 years of hands-on DBA experience with Microsoft SQL Server and Aurora PostgreSQL, plus AWS RDS/Aurora, Terraform, Kafka (Confluent), and scripting in PowerShell or Python.

Qualifications

• 3–4 years of hands-on DBA experience.
• Microsoft SQL Server and Aurora PostgreSQL.
• AWS RDS and Aurora.
• PowerShell or Python.
• Terraform.
• Confluent Kafka.
• Security, high availability, and disaster recovery.
• Upper-intermediate English.

Responsibilities

• Maintain high availability of production database systems.
• Plan and execute disaster recovery with zero data loss.
• Ensure security and access control in database environments.
• Analyze and tune database performance and diagnose issues.
• Collaborate with engineers on design reviews and support.
• Operate hands-on in a highly technical environment.
• Manage data systems that support the website.

Skills

Database administration

Performance tuning

Security best practices

Disaster recovery planning

English communication

Tools

Microsoft SQL Server

Aurora PostgreSQL

AWS RDS/Aurora

PowerShell

Python

Terraform

Confluent Kafka

Job description

AgileEngine, LLC. is seeking a hands-on Database Administrator to manage, secure, and tune high-availability production databases across engineering teams.

This is a practical DBA role focused on database administration, performance, security, and reliability—not data engineering. The role requires 3–4 years of hands-on DBA experience with Microsoft SQL Server and Aurora PostgreSQL, plus AWS RDS/Aurora, Terraform, Kafka (Confluent), and scripting in PowerShell or Python.