πSerbia
Software Engineering Intern

Cargill
πRemote - Worldwide
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Summary
Join Key Capture Energy as a Software Engineering Intern and contribute to a team focused on optimizing battery energy storage systems. This paid internship offers the opportunity to work on real-world problems, building reports, APIs, web services, and more using Python and/or C#. You will collaborate with experienced engineers, participate in design discussions, and contribute to production code. The ideal candidate possesses some programming experience, understands object-oriented concepts, and has an interest in clean energy. The internship is located in Brooklyn, NY, Houston, TX, or remotely with 10% travel.
Requirements
- Undergraduate and/or post-graduate degree in electrical engineering or similar background
- Pursuing a degree in Software Engineering, Information Technology, Computer Science, Computer Engineering, or related field
- Experience with python and/or C#, .Net, HTML, CSS
- Visual Studio Code / Visual Studio, Github, Azure
- Knowledge of Client-Server concepts & Webservices
- General knowledge on Cloud Infrastructure (Virtual Machines, Docker Containers)
- Exposure to Object Oriented Design principles, data structures and design patterns
- Excellent communication skills
- Excellent analytical and problem-solving skills
- Interest in clean energy and power markets
- Strong organizational and time-management skills
Responsibilities
- Work with the software engineering director or engineering mentor on assignments furthering the teamβs objectives
- Assignments can include contributing to production code, developing test applications, or building out test frameworks
- Create relevant documentation (reports, presentations, or similar) for tracking project progress or technical review
- Develop new features and functionalities in our existing codebase
- Populate, Analyze and manipulate databases in MS SQL Server
- Participate in design discussions and code reviews
- All other duties as required
Preferred Qualifications
Experience with SQL and large data sets
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