| engineering |
en |
45 |
16 |
Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics... |
| computer engineering |
en |
8 |
5 |
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training |
| software engineering |
en |
6 |
5 |
Degree in a relevant field such as Computer Science, Computer Engineering or Software Engineering |
| prompt engineering |
en |
5 |
4 |
Strong understanding of LLM-based systems, including agent patterns, RAG, tool/function calling, prompt engineering, and evaluation method |
| industrial engineering |
en |
5 |
3 |
University degree in Industrial Engineering, Business, Economics, Sales, or a related field, or an equivalent qualification |
| quality engineering |
en |
2 |
2 |
Experience with cloud modernization, platform engineering, developer experience, quality engineering, or enterprise automation initiatives. |
| including prompt engineering |
en |
2 |
2 |
Hands-on experience with AI/LLM technologies, including prompt engineering, grounding, RAG, AI-powered applications, and responsible AI practices |
| cloud engineering |
en |
2 |
2 |
5+ years of IT experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or similar roles with AWS, CI/CD, IaC, scripting, containers, databases, and operational support. |
| platform engineering |
en |
2 |
2 |
5+ years of IT experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or similar roles with AWS, CI/CD, IaC, scripting, containers, databases, and operational support. |
| data engineering |
en |
2 |
2 |
2+ years Data Engineering experience with focus on quality & automation |