Software Engineer - Ag & Trading

bit a can-do mentality, tackling challenges with a proactive and positive approach.
• Apply software engineering patterns and principles to design, develop, test, integrate, maintain, troubleshoot and document complex software solutions and incorporate security practices in newly developed and maintained applications.
• Participate in peer code review sessions both as a submitter and as a reviewer to ensure code quality.
• Incorporate the company's engineering and development practices within software development life cycle processes.
• Apply development and operation engineering principles to continuously integrate, test and deploy developed code.
• Participate in the engineering community by maintaining and sharing relevant technical approaches and modern skills.
• Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.
• Other duties as assigned.

Qualifications

Minimum Qualifications:

• Bachelor's degree in computer science or equivalent experience,
• Confirmed experience building back end applications based on popular design patterns.
• Proficiency in .NET Core.
• Experience with DevOps practices and tools such as Docker and CI/CD pipelines.
• Knowledge of SQL Server and / or PostgreSQL for database design and management.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Minimum of two years experience in software development using .NET technologies.

Preferred Qualifications:

• Familiarity with front-end technologies like HTML, CSS, JavaScript, and frameworks such as Angular, React, or Vue.js.
• Experience in trading and commodity business
• Hands-on experience with Kubernetes for container orchestration and management.
• Understanding of microservices architecture and deployment strategies using Kubernetes.
• Proficiency in .NET Framework.
• Proficiency in Windows Presentation Foundation (WPF).
• Experience in integrating and utilizing AI models (e.g. in software solutions).
• Understanding of ethical considerations and best practices in AI development.

Short Description

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