Demonstrate accountability by ensuring timely and high-quality project delivery. Be result driven, consistently achieving measurable outcomes and meeting goals. Act as a team player, collaborating effectively with cross-functional teams. Exhibit 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 companys 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.