Datacor - Software Engineer
Requirements
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field (or equivalent experience). • 0–2 years of professional software development experience; internships, co-ops, and substantial academic or personal projects count. • Proficiency in at least one object-oriented language, preferably C# (VB.NET, Java, or C++ also welcome). • Solid grounding in computer science fundamentals: object-oriented design, data structures, and algorithms. • Working knowledge of version control, including branching, commits, and merging. • Demonstrated ability to write clean, readable, and maintainable code. • Strong problem-solving and debugging skills, and the judgment to ask for help when stuck. • Excellent communication and collaboration skills. • Experience with the .NET ecosystem and Visual Studio. • Exposure to user interface development, whether desktop (WPF, WinForms) or web. • Experience writing unit tests or working with automated testing. • Familiarity with scripting languages such as Python or PowerShell. • Experience with Git, including pull requests and code reviews. • Familiarity with CI/CD pipelines, Agile practices, or tools such as Jira and Bitbucket. • Familiarity with data serialization (JSON, XML) or multi-threading concepts. • Experience using AI coding assistants thoughtfully, including verifying the code they produce. • Interest in engineering, scientific, or simulation software. • Hybrid in Colorado Springs, CO preferred; exceptional remote candidates will be considered. • EOE Statement:
Responsibilities
• Design, build, and maintain features across all layers of our Windows desktop applications, working from requirements with guidance from senior engineers. • Diagnose and fix defects anywhere in the codebase, including customer-reported issues escalated from our Support team. • Contribute to internal tooling, build automation, CI/CD pipelines, and test infrastructure. • Take part in our ongoing modernization, including new architecture and user interface frameworks. • Write clean, maintainable, well-tested code, and take part in code reviews, both giving and receiving feedback. • Collaborate with engineers, QA, Product Management, and domain experts to deliver solutions that meet user needs. • Stay on top of industry trends, and use modern tools, including AI coding assistants, responsibly to continuously improve your skillset.
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