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At Enverus , we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
Are you ready to help power the global quality of life? Join Enverus , and be a part of creating a brighter, more sustainable tomorrow.
SBS, an Enverus company, is seeking a Test Automation Engineer to join the Distribution Tools team, reporting to Matthew Rickard, Director of Software Development. This is a dedicated, 100%-automation-focused role: your mandate is to convert our existing manual regression coverage into reliable automated tests, building on our existing investment in T-Plan Robot for image-based desktop and CAD GUI automation.
A core part of this role is applying AI tools to the hardest part of test automation — writing and maintaining the tests themselves — while building in the validation steps needed to keep AI-assisted tests repeatable and trustworthy, not just fast to produce.
This role starts embedded in Distribution Tools, but it is designed to grow: the frameworks, practices, and tooling you build are expected to extend across SBS's broader desktop application portfolio (AUD, ABD, DDS, P4A/P4I, and the SDS suite) as the practice matures, and your remit will expand accordingly over time.
What you will do
Test Automation & Coverage
Own automation of existing manual regression test suites for Distribution Tools products, using T-Plan Robot as the primary automation engine for CAD-based desktop GUI testing.
Design and implement automated test frameworks and reusable patterns for desktop and Revit-integrated applications.
Execute automated test suites, analyze failures, and document defects with clear reproduction steps.
Maintain and continuously improve test automation infrastructure and its integration with CI/CD pipelines (GitHub Actions / Azure DevOps).
AI-Assisted Test Authoring Evaluate and apply AI/LLM tools to accelerate the authoring and maintenance of GUI test scripts.
Build generate-then-validate workflows so AI-assisted test creation produces repeatable, trustworthy regression coverage rather than brittle, one-off scripts.
Document what works, and what doesn't, so the approach can be adopted by other teams.
Collaboration & Process Partner with developers and product owners across Distribution Tools to prioritize the highest-value regression scenarios to automate first.
Participate in Agile ceremonies (sprint planning, reviews, retrospectives) as an embedded member of the Distribution Tools team.
Provide feedback on code quality and testability during code reviews.
Reporting & Growth
Track and report on automation coverage, defect trends, and time saved to build the business case for expanding the practice.
As the practice matures, extend frameworks and mentorship to test engineers on other desktop product teams (Substation Tools, GTI).
What skills you should have
5+ years of combined experience in manual and automated testing of desktop or engineering software
Hands-on experience with T-Plan Robot or a comparable image/OCR-based GUI automation tool for desktop applications
Practical, applied experience using AI and LLM tools in a development or QA workflow, able to speak to both productivity gains and repeatability risks
Proficiency in at least one general-purpose test automation framework, such as NUnit, Selenium, or WinAppDriver
Experience with CI/CD pipelines, such as GitHub Actions or Azure DevOps
Skills that stand out
Familiarity with Autodesk Revit, AutoCAD, or Inventor and their automation APIs
Experience standing up a test automation practice from a limited existing base, rather than extending a mature one
Background in utility, energy, or infrastructure engineering software
