Application Support Engineer

Mia Labs • Austin, TX

1d • Hybrid

About The Position

The Opportunity The $1.2T automotive industry is a pillar of American culture, representing nearly 5% of U.S. GDP and shaping how people live and move every day. At the center of this ecosystem are dealerships—trusted local businesses that help consumers navigate one of the most important purchases they make. Today, the industry is at an inflection point. Consumers expect the same speed, personalization, and convenience they experience in modern digital-first industries. At the same time, tighter margins and rising costs are driving a need for operational efficiency beyond what traditional software can support. Together, these shifts create a powerful opportunity to reimagine how dealerships deliver seamless experiences and build lasting customer relationships. Dealers who modernize how they communicate and operate will unlock efficiency, deepen loyalty, and win long-term relationships. It is time to upgrade automotive retail to the 21st century. About Mia Mia Labs is an investor-backed startup on a mission to modernize dealership operations and transform the automotive consumer experience. Our AI agent, Mia, turns every call or inquiry into an opportunity, improving customer satisfaction and dealership performance through automation that feels human. We are trusted by some of the nation's largest dealership groups and are rapidly scaling our team, product offerings, and customer base. We’re looking for an Application Support Engineer who’s passionate about debugging complex systems, building scalable support processes and ensuring reliability across production environments. At Mia, you’ll help shape the next generation of conversational AI that’s redefining how automotive dealerships engage with customers. Who You Are You’re a technically strong problem solver who thrives on finding root causes and driving lasting fixes. You’re comfortable diving into code, logs and cloud environments, collaborating with product and engineering to improve reliability and performance. You enjoy helping to ensure that our products are more stable, reliable, and supportable every day.

Requirements

• 2+ years of experience in application, technical, or production support.
• Proficiency in Python (scripting, debugging) and SQL for data analysis in relational databases (PostgreSQL preferred).
• Experience with RESTful APIs, Git for source control, and cloud platforms such as Azure, AWS, or GCP.
• Familiarity with observability and log aggregation tools (e.g., Azure Monitor, Sentry, Logtail, New Relic, Splunk, Signoz).
• Strong understanding of microservices architecture, networking, and system performance.
• Skilled in error tracking, incident management, and structured troubleshooting with a methodical, detail-oriented approach.
• Excellent analytical, communication, and multitasking skills with the ability to own issues end-to-end.
• Comfortable navigating ambiguity and iterating quickly in fast-paced environments.

Nice To Haves

• Experience with CI/CD pipelines, SRE/DevOps workflows, or monitoring practices.
• Experience owning production incident management process.
• Experience supporting production software product environments.
• Familiarity with Azure cloud services.
• Prior experience working in a 0 → 1 environment.
• Prior experience supporting AI or voice-based systems, or automotive dealership systems (e.g., service schedulers, inventory tools, CMS, DMS).

Responsibilities

• Ensure the reliability, stability, and supportability of Mia’s production platform used by dealerships nationwide.
• Manage/maintain observability platform metrics and alerts.
• Serve as the primary point of contact for ensuring product related alerts are properly resolved in an appropriate amount of time.
• Diagnose and troubleshoot issues across application, API, and infrastructure layers, including Python services, third party integrations, cloud resources(including Postgres databases).
• Monitor system health to proactively detect, reproduce, and resolve issues
• Develop and maintain Python-based tools, automation scripts and dashboards to streamline operations and improve observability.
• Participate in on-call rotation and provide structured feedback to enhance product reliability and user experience.
• Run as a point person for product related incidents and outages

Benefits

• Equity participation through stock options.
• Fully paid health, vision & dental insurance for employees.
• Flexible PTO and hybrid schedule (3 days / week in downtown Austin).
• Free lunches, paid parking, team events, and a casual, but get things done culture.
• Compensation for this position will be competitive with current market rates and reflective of the candidate's experience, skills and qualifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed