Irth Solutions, a software company that helps manage critical infrastructure, is looking to hire a Senior Software Engineer for a full-time remote position. The role is part of the company's Asset Integrity for Pipelines (AIP) development team, which works on technology that combines machine learning and data analytics.
The successful candidate will work directly with customers and colleagues to prototype and experiment with new technology. According to the job description from Indeed, the role involves building cloud-based solutions for pipeline operators across North America. The engineer will help transform how pipeline operators manage integrity data by using machine learning, advanced data science, GIS integration, and enterprise analytics.
Irth Solutions is a market-leading SaaS technology company. It delivers cloud-based critical infrastructure management solutions to energy, utility, and telecom operators across North America. The company's Asset Integrity for Pipelines (AIP) platform is designed to drive safer, smarter decision-making across the full pipeline lifecycle.
Senior Software Engineer positions in the United States offer competitive pay. According to job listings on ZipRecruiter, a remote senior software engineer can earn $100,000 or more annually by gaining specialized skills in high-demand areas like cloud computing. In Minneapolis, MN, where Irth Solutions is based, Indeed lists 446 Senior Software Engineer jobs with salaries ranging from $91,700 to $208,300 a year.
Industry discussions on platforms like Reddit describe senior engineers as professionals who actively take ownership, question assumptions, and deliver top quality. They are more likely to work outside their immediate responsibilities and drive projects forward. This aligns with the expectations for the Irth Solutions role, which involves prototyping and experimenting with cutting-edge technology.
In our view, this job opening reflects a growing trend in the energy and utility sector. Companies are investing heavily in software that uses machine learning to make pipelines safer and more efficient. The remote nature of the role also shows that tech talent is no longer tied to a single location. For senior engineers looking to work on meaningful problems — like preventing pipeline failures — this is a strong opportunity. The combination of cloud computing, data science, and critical infrastructure makes this role both technically challenging and socially important.
