Platform Engineering - Intern
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Skills you'll use
What you'll do
- Build working product capabilities across Vector's experience, platform, data, and intelligence layers.
- Translate real enterprise use cases into clear user experiences, reliable services, usable data, and evaluated AI capabilities.
- Create test cases, evaluate results, analyze failures and edge cases, and improve the quality, reliability, and performance of your work.
- Engineering practices: use Git, write documentation and tests, debug issues, participate in code reviews, and build maintainable software with the wider product and engineering team.
Who can apply
- Knowledge of at least one programming language, such as JavaScript/TypeScript, Python, C#, Java, or a similar language.
- Basic understanding of programming fundamentals, problem-solving, and software development.
- Familiarity with at least one relevant area: frontend development, REST APIs, SQL/data, or AI/ML concepts.
- Basic familiarity with Git and the willingness to write, test, debug, and improve code.
- Interest in AI-native products, cloud platforms, enterprise software, and modern application development.
- Strong analytical ability, curiosity, ownership, communication, and willingness to experiment and learn.
- Nice to have: React, Next.js, TypeScript, Azure, Microsoft Graph, Cosmos DB, Microsoft Fabric, Spark, OpenAI APIs, LangChain/LangGraph or similar frameworks, vector databases, charting libraries, or Microsoft Teams development.
- You do not need to know all of these technologies. We are looking for strong fundamentals, curiosity, problem-solving ability, and the hunger to learn.
- What We're Looking For:
- We value curiosity, ownership, learning ability, problem-solving, and the hunger to contribute more than prior experience. Candidates should be comfortable learning quickly, asking questions, experimenting, collaborating across engineering areas, and taking responsibility for their work.
Perks & benefits
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