Full Stack Software Engineer

About the Role

We are looking for a Full-Stack Software Engineer to join a technology-focused firm that develops proprietary mathematical algorithms and automated software systems for forecasting price movements in global commodity markets. This position is for a software engineer with a Python-first background and an interest in data, with experience building and supporting web applications. The engineering team works with modern, cloud-based technologies and is involved throughout the development process.

Key Responsibilities

• Build and maintain full-stack web applications and backend services using Python.
• Develop software that supports data-driven applications, mathematical models, and forecasting systems.
• Work with AWS and other cloud-native technologies.
• Build and maintain scalable applications and supporting infrastructure.
• Contribute to CI/CD pipelines, automated deployments, and infrastructure-as-code.
• Participate in system design, development, testing, deployment, and ongoing maintenance.
• Work closely with other engineers to solve technical problems and improve existing systems.
• Write clean, maintainable, and well-tested code.

Requirements & Tech Stack

• Python
• Full-stack web development
• AWS
• Kubernetes
• CI/CD: Automated build and deployment pipelines
• Infrastructure-as-code tools
• Data-intensive applications and analytics systems
• Git
• Automated testing

Qualifications

• Strong software engineering fundamentals.
• Professional experience developing software with Python.
• Experience building web applications or full-stack software.
• Understanding of both backend and frontend development.
• Experience working with data-driven applications or systems.
• Familiarity with cloud-based development environments.
• Experience with Git, CI/CD, and automated testing.
• Strong problem-solving and analytical skills.
• Ability to work effectively with a technical team.
• MS in Computer Science or Data Science (for entry-level candidates).

Preferred Qualifications

• Experience with AWS.
• Kubernetes experience.
• Infrastructure-as-code experience.
• Experience working with data-intensive applications.
• Background in quantitative, mathematical, or forecasting systems.
• Experience with automated CI/CD pipelines.
• Experience working across both frontend and backend development.

Working Conditions: Onsite in Wilmington, NC, five days per week.

Salary Range: $80,000–$150,000.