About The Position

SBS, an Enverus company, is seeking a Test Automation Engineer to join the Distribution Tools team. This is a dedicated, 100%-automation-focused role with the mandate to convert existing manual regression coverage into reliable automated tests, building on the 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. This role starts embedded in Distribution Tools but is designed to grow, with the frameworks, practices, and tooling expected to extend across SBS's broader desktop application portfolio as the practice matures.

Requirements

  • 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

Nice To Haves

  • 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

Responsibilities

  • 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).
  • 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.
  • 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.
  • 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).

Benefits

  • Empowering the global quality of life by helping customers make energy affordable and accessible
  • Reshaping the way energy is consumed and managed
  • Offering anytime, anywhere access to analytics and insights
  • Helping customers make better decisions that help provide communities around the world with clean, affordable energy
  • Leading the way in energy technology
  • Creating intelligent connections across the entire energy ecosystem
  • Creating more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing
  • Reducing costs by automating crucial business operations
  • Building a team of individuals from a diverse range of backgrounds
  • Powering the global quality of life
  • Creating a brighter, more sustainable tomorrow
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