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Application Support Engineer (L3)

Posted July 08, 2026
Full-time Mid-Senior Level

Job Overview

About You

You are an Application Support Engineer with a passion for solving complex production issues and ensuring the stability of business-critical applications. You thrive in fast-paced environments where analytical thinking, ownership, and effective troubleshooting are essential to maintaining high service availability.

You enjoy investigating production incidents, identifying root causes, and collaborating with cross-functional teams to deliver timely and sustainable solutions. You are comfortable working across distributed systems, understanding existing codebases, and communicating technical findings clearly to both technical and non-technical stakeholders.

You bring a proactive mindset, strong problem-solving skills, and a continuous improvement mentality to enhance application reliability and operational excellence.

Note: This opportunity is currently open only to candidates residing in El Salvador, Mexico, or Colombia.

You Bring to Applaudo the Following Competencies:

  • Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related field is desired, or equivalent professional experience.
  • 4+ years of experience in Application Support, Production Support, Software Engineering, or similar technical roles.
  • Experience investigating and troubleshooting production incidents across distributed or microservices-based applications.
  • Strong knowledge of Node.js and TypeScript, with the ability to read, debug, and implement small code fixes.
  • Solid experience working with REST APIs, HTTP protocols, and API debugging tools such as Postman.
  • Advanced SQL knowledge, including data validation, JOINs, stored procedures, execution analysis, and production troubleshooting.
  • Experience working with Git, GitFlow, pull requests, merge conflict resolution, and hotfix workflows.
  • Understanding of microservices architectures, asynchronous communication, and message-based integrations.
  • Experience performing Root Cause Analysis (RCA) and documenting technical findings.
  • Familiarity with Azure DevOps, repositories, deployment pipelines, and release management.
  • Experience working with Azure services such as App Services, Azure Monitor, and Azure Service Bus.
  • Understanding of CI/CD processes and deployment validation.
  • Knowledge of authentication, authorization, and basic secrets management concepts.
  • Experience using browser developer tools to troubleshoot frontend issues is a plus.
  • Strong analytical, troubleshooting, communication, and problem-solving skills.
  • Advanced English proficiency (B2+ or higher).

You Will Be Accountable for the Following Responsibilities:

  • Investigate and resolve complex production incidents across distributed applications and microservices.
  • Analyze application logs, APIs, SQL data, and system integrations to identify root causes of production issues.
  • Perform structured Root Cause Analysis (RCA) and document findings, corrective actions, and preventive recommendations.
  • Debug backend services developed primarily in Node.js and TypeScript, implementing small code fixes when required.
  • Validate production fixes through API testing, SQL validation, and regression verification before deployment.
  • Collaborate closely with Development, QA, Infrastructure, and third-party vendors to coordinate incident resolution.
  • Differentiate issues originating from internally managed applications versus external platforms and coordinate the appropriate resolution path.
  • Monitor production environments and proactively identify potential risks before they impact business operations.
  • Communicate investigation progress, technical findings, and recommendations to both technical teams and business stakeholders.
  • Support deployment validation and investigate issues related to releases, configuration changes, or infrastructure updates.
  • Contribute to the continuous improvement of support processes, documentation, and operational best practices.
  • Prioritize multiple production incidents based on business impact while maintaining high-quality communication throughout the resolution process.

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