Tech Lead - App Development

The Technical Lead will oversee all aspects of application development at TinyPal. This position involves both managing the development team and actively contributing to the coding and architecture, particularly in the backend development using Python. The ideal candidate will bring a strategic perspective to the development process, ensuring that our solutions are robust, scalable, and aligned with our business goals.

Key Responsibilities:

• Lead and manage the application development team across all areas, including backend, frontend, and mobile app development.
• Hands-on development and oversight of backend systems using Python, ensuring high performance, scalability, and integration with frontend services.
• Architect and design innovative solutions that meet market needs and are aligned with the company’s technology strategy, with a strong focus on embedding AI technologies to enhance app functionalities.
• Coordinate with product managers and other stakeholders to translate business needs into technical strategies, particularly in leveraging AI to solve complex problems and improve user experiences.
• Maintain high standards of software quality by establishing good practices and habits within the development team.
• Evaluate and incorporate new technologies and tools to improve application development processes, with a particular emphasis on AI and machine learning technologies.
• Mentor and support team members to foster a collaborative and productive environment.
• Lead the deployment and continuous integration of applications across various platforms, ensuring AI components are well integrated and perform optimally.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Minimum of 7 years of experience in software development, with at least 1 year in a leadership role.
• Expert proficiency in Python and experience with frameworks like Django or Flask.
• Broad experience in full lifecycle development of large-scale applications.
• Strong architectural understanding of both frontend and backend technologies, with a specific capability in integrating AI into complex systems.
• Experience with cloud platforms (AWS, Azure, Google Cloud), and understanding of DevOps and CI/CD processes.
• Demonstrated ability to think strategically about business, product, and technical challenges, including the adoption and implementation of AI solutions.
• Excellent team management, communication, and interpersonal skills.