Company Overview
Since 2016, we have been working non-stop to create a scientific trading robot (Scientific Algorithmic Trading) based on Artificial Intelligence and trading on the cryptocurrency futures market. The unbeatable power of our trading robot comes from the fact that our AI uses the Gaussian Mixture Model to determine clusters in the crypto market, the Hidden Markov Model to determine regime changes in the cryptomarket, Jonhson Su’s model for the entry point, the Trailing Stop Loss for the exitpoint and more than 100000 explanatory variables (or features) significantly reductible by using stepwise regression. Our AI is coded ”from scratch” entirely with the C++ programming language and performs parallel calculations on 10,000 servers (including 2000 quantum servers) distributed in 120 data centers around the world and the optimal points of the results of parallel calculations are determined by using the ‘Generalized Reduced Gradient (GRG) nonlinear’ method, the ‘ROC Curve’ and the Simplex method. Our Scientific Trading Robot has been generating a monthly profit of about 11% per month since his deployment in production in 2018. For this success, we have decided to open our Scientific Trading Robot to the general public (company and individual) in 2023.
About the job
Program Title : Software Engineering Mastery Training and Internship (M/F)
Location : Remote
Program Type : Training with Practical Internship
Duration : 3 months
Compensation : Unpaid
Job Description:
This DevOps Engineering Trainee role is a structured training and internship program focused on mastering essential DevOps skills. Trainees will receive dedicated mentorship and training in automation, infrastructure management, and cloud technologies. This program offers hands-on experience in building and maintaining CI/CD pipelines, automating workflows, and working in a dynamic DevOps environment.
Key Responsibilities:
- Learn to configure and manage CI/CD pipelines for smooth and secure deployments.
- Develop automation scripts to optimize deployment and testing processes.
- Assist in managing cloud infrastructure and maintaining high-security standards.
Qualifications:
- Current student in Computer Science, Information Systems, or a related technical field.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and CI/CD tools (Jenkins, Docker, Kubernetes).
- Strong analytical skills, a desire to learn, and problem-solving abilities.
Skills Developed:
- Mastery in CI/CD processes, infrastructure automation, and security best practices.
- Hands-on experience with containerization and cloud resource management.
How to Apply:
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