QA Automation Lead

Description:

Exodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. 

We are experiencing sky-rocketing growth and closed a historically large $105M Series A round in February of 2024.

Exodigo is the new gold standard for non-intrusive discovery. Our subsurface mapping solutions combine advanced sensors, 3D imaging, and AI technologies to provide a clear picture of the underground for customers across transportation, utilities, construction, and more.

"The business case for multi-sensor fusion and AI for subsurface discovery is clear. Our underground utilities account for 50% of all delay-related change order dollars; that's an enormous percentage, it represents savings of millions of dollars a year." -Aaron Chamberlin, Senior Innovation Engineer, Caltrans

As a QA Automation Lead, you’ll join growing R&D team of very strong engineers, using cutting edge technology to solve very complicated challenges. You’ll help design and implement a process that ensures that only software of the highest quality makes it to the field.

Key Responsibilities

• Designing, developing and executing automated tests
• Identifying, analyzing and documenting any defects or irregularities in software performance
• Collaborating with the software development team to ensure smooth deployment of software
• Implementing QA process methodologies to ensure consistent software quality

• At least 3 years of experience in creating automated tests - a must
• At least 2 years as a lead function or similar management position - a must
• A results-oriented individual with ability to balance between quality and speed - a must
• Self-driven with positive attitude
• Can-do mentality
• Resilient in changing situations
• Proficiency in Python

Preferred Skills

• Experience with pyQt
• Knowledge of UI orchestration tools
• Familiarity with AWS or other public cloud platforms
• Experience in handling geographical data