Application Support Engineer

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.

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 making systems more stable, scalable, and supportable every day.

What You'll Do

• Ensure the reliability, stability, and supportability of Mia’s production platform used by dealerships nationwide.

• Manage technical support operations — triaging, tracking and resolving issues

• Serve as the Tier 2/3 escalation point for complex incidents.

• Collaborate with Engineering, Product and Customer Success to drive timely fixes, root cause analysis and continuous improvement.

• Diagnose and troubleshoot issues across application, API, and infrastructure layers, including Python services, integrations, and Postgres databases.

• Monitor system health to proactively detect, reproduce, and resolve performance anomalies.

• Partner with engineers on long term solutions and feature enhancements.

• Develop and maintain Python-based tools, automation scripts and dashboards to streamline operations and improve observability.

• Support new dealership onboarding, document resolutions and contribute to internal knowledge sharing.

• Participate in on-call rotation and provide structured feedback to enhance product reliability and user experience.

What We're Looking For

• 4+ 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).

• 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.

What makes you stand out (Nice to Haves)

• Experience with CI/CD pipelines, SRE/DevOps workflows, or monitoring practices.

• Experience owning a technical support or triage 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).

Why Mia

• 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

• Compensation for this position will be competitive with current market rates and reflective of the candidate's experience, skills and qualifications.

Our Commitment

At Mia, we’re committed to a workplace where everyone is valued, included, and empowered to do their best work. Our strength comes from diverse experiences, perspectives, and skills, and we’re proud to be an equal opportunity employer.

Passionate about the role but don’t tick every box? We’d still love to hear from you, you might be exactly who we need.

Mia is an EVerify employer.