Full Stack Engineer

Videocites is a novel AI-based video tracking and analytics company. Comprising state-of-the-art Machine Learning and Computer Vision technologies, our cloud-based SaaS platform is used by global companies in multiple industries: Media and Entertainment, Advertising, Sports, and Homeland Security. Videocites was established by several serial entrepreneurs and three renowned Computer Science professors.

We are seeking an exceptional, highly skilled, and driven software engineer to join our R&D team. If you are passionate about tackling complex challenges through innovative thinking and leveraging the latest in cutting-edge technology, we want you on our team.

Responsibilities:

• Actively contribute to the entire software development lifecycle, with a focus on system design and implementation.
• Build and enhance key product features that shape the future of our product.
• Develop and deploy end-to-end features from concept to delivery.
• Design, implement, and maintain robust CI/CD pipelines to streamline development workflows.
• Collaborate with team members and cross-functional departments through effective written and verbal communication.

Qualifications:

• BSc in Computer Science (or equivalent) from the leading universities - A Must-Have.
• Proficiency in software development, with demonstrated experience in writing clean, efficient, and maintainable code.
• Proficiency in modern system architecture with large-scale and high performance.
• A proactive attitude and eagerness to learn and adapt to new technologies.
• Strong team player with the ability to collaborate and contribute effectively in a group setting.
• Excellent communication skills, both written and verbal.

Advantages:

• 2-3 years of professional experience in software engineering.
• Proficiency in Python.
• Experience working with both relational and non-relational databases.
• Solid understanding of web technologies and frameworks.
• Strong knowledge of Linux environments.
• Experience working with cloud platforms, particularly AWS.
• Hands-on experience with 3rd-party APIs.
• Experience using Docker for containerization.
• Familiarity with GraphQL.