Remote SaaS Production Support Engineer (SQL/Azure)

Adlatina Group

Buenos Aires

Remote

ARS 92,724,000 - 154,540,000

Full time

4 days ago
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Job summary

Adlatina Group is seeking a Technical Support Specialist (SaaS | SQL) for a remote role based in Buenos Aires. You’ll work in live production environments, performing advanced troubleshooting across database, application, and infrastructure layers while engaging directly with clients.

Expect hands-on work with Azure/SQL Server/.NET/Angular stack, production data analysis, and collaboration with engineering to resolve complex issues. Strong English and a self-start mindset are essential.

Qualifications

  • 3+ years of technical support experience in a SaaS/software environment (non-negotiable)
  • Strong SQL skills (queries, troubleshooting, working with live data)
  • Experience supporting web-based applications in production
  • Ability to troubleshoot across multiple layers (database, application, network)
  • Comfortable working with remote servers / environments (RDP)
  • Strong English communication skills—you’ll interact directly with clients
  • A self-starter mindset—you take initiative, don’t wait for direction

Responsibilities

  • Diagnose and resolve issues across database, application, and infrastructure layers in live production environments
  • Investigate system issues using SQL queries and monitor performance
  • Collaborate with engineering to elevate and resolve complex cases
  • Provide proactive system monitoring and improve internal documentation

Skills

SQL proficiency
SaaS support
English communication
Remote work mindset

Tools

Jira
RDP
Monitoring tools
SQL Profiler

Job description

Adlatina Group is seeking a Technical Support Specialist (SaaS | SQL) for a remote role based in Buenos Aires. You’ll work in live production environments, performing advanced troubleshooting across database, application, and infrastructure layers while engaging directly with clients.

Expect hands-on work with Azure/SQL Server/.NET/Angular stack, production data analysis, and collaboration with engineering to resolve complex issues. Strong English and a self-start mindset are essential.

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