We are looking for skilled Python Full Stack Tech Lead to join our dynamic engineering team. In this role, you will be responsible for developing robust, scalable, and high-performance applications leveraging cutting-edge technologies, including AI-driven development practices. You will work on primary back-end, secondary front-end and contributing to all phases of the development lifecycle, from system design to deployment and performance tuning Expert knowledge in Python programming language; experience with web/RESTful responses and frameworks (Django or Flask). • Commendable experience in Fast API development. • Experience in AWS cloud services like SQS, Lambda, etc. • Experience in Kafka. • Experience in Prompt engineering (system prompts & user prompts). • Proven experience in AI-driven development using GitHub Co-pilot, Cursor, etc. • Experience with front-end React JS, Angular JS and integration areas / Backend – Mongo / MySQL / Oracle DB. • Good understanding of application performance tuning and resource usage. • Ability to troubleshoot existing scripts and do point bug fixes / application redesign. • In-depth understanding of the entire web development process (Object Oriented programming, design patterns, development, and deployment). • Good knowledge in DevOps practices, CI/CD is required. • Experience in Agile and Scrum methodologies. • Knowledge of project and task tracking tools such as Jira, Git. • Strong communication and teamworking skills. ### Responsibilities • Back-End Development: Design, build, and maintain efficient, reusable, and reliable code for our server-side applications using Python and Fast API. • Fast API & Cloud Integration: Develop high-performance APIs with Fast API, integrating with AWS cloud services such as SQS and Lambda. • Front-End Development: Build engaging and responsive user interfaces using front-end technologies including React JS and Angular JS. • Database Management: Manage and optimize data storage solutions using MongoDB. • AI Integration & Prompt Engineering: Utilize experience in prompt engineering (system prompts & user prompts) and AI-driven development tools like GitHub Co-pilot and Cursor to enhance development efficiency and integrate AI features into applications. • System Architecture & DevOps knowledge: In-depth understanding of the entire web development process (Object Oriented programming, design patterns, development, and deployment) and DevOps practices, including CI/CD pipelines. • Performance & Troubleshooting: Troubleshoot existing scripts, perform point bug fixes, and conduct application performance tuning and resource usage optimization. • Collaboration & Agile Methodologies: Collaborate with cross-functional teams in an Agile and Scrum environment, utilizing tools like Jira and Git for project and task tracking. ### Qualifications • Good exposure to Gen AI tools and Agentic development workflows. • Industry best practices with Security domain knowledge