Lead Client Engineer

Stavtar•Southlake, TX

About The Position

The Lead Client Engineer within the Technical Support team of the Client Services organization at Stavtar is a hands-on technical expert. This individual contributor role combines a true engineering mindset with a client-first approach to deliver proactive, high-quality support for our application stack and Azure infrastructure. The ideal candidate thrives on solving complex problems, building monitoring solutions, fostering AI adoption, and setting the standard for excellence in client experience.

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
7+ years in technical support or engineering roles, with strong exposure to public cloud infrastructure and SaaS applications.
Proven ability to design monitoring dashboards and implement proactive support measures.
AngularJS and similar web UI technologies.
C# and .NET application development/support.
SQL (queries, optimization, troubleshooting).
Azure Cloud Engineering (VMs, Networking, Storage, Monitoring, Security).
PowerShell scripting for automation and monitoring.
Working knowledge in IaaS and IaaC
Exceptional problem-solving and analytical skills.
Strong communication and client engagement abilities.

Responsibilities

Act as the primary escalation point for complex applications and Azure infrastructure issues.
Diagnose root causes and implement sustainable fixes across web applications, APIs, and cloud environments.
Design and implement real-time monitoring dashboards for application and Azure infrastructure using Azure Monitor, Application Insights, Log Analytics, and custom solutions.
Develop proactive support strategies to detect and resolve issues before clients report them.
Collaborate with engineering and product teams to improve system reliability and performance.
Provide deep technical support for AngularJS and similar web UI frameworks, C# backend services, and SQL databases.
Troubleshoot application performance, integration issues, and deployment challenges.
Maintain and optimize application environments hosted on Azure Cloud.
Foster AI adoption and implementation to enhance efficiency and scalability in client support.
Identify opportunities to leverage AI for predictive monitoring, automated issue detection, and intelligent ticket triage.
Collaborate with internal teams to integrate AI tools into support workflows for proactive client engagement.
Act as a trusted technical advisor during critical incidents, ensuring clear and empathetic communication with clients.
Drive continuous improvement in client experience through rapid resolution and transparent updates.
Create and maintain technical documentation, runbooks, and knowledge base articles.
Set the example for other support engineers through technical excellence and client-first behavior.