Chief Full-Stack Architect

Technical Leadership & Team Management:

• Lead and mentor a team of full-stack developers, providing technical guidance and oversight throughout the development lifecycle.
• Drive task estimation and planning, creating detailed work breakdown structures, and ensuring that development tasks are clear, achievable, and on time.
• Conduct peer reviews of code, ensuring high standards for quality, performance, and security before approving work for production.
• Foster a collaborative and innovative team environment, ensuring continuous learning and knowledge sharing.

Hands-On Development:

• Be a hands-on contributor, leading by example with high-quality code. Focus areas include Python for backend development, and expertise in modern front-end frameworks (e.g., React, Angular).
• Build, deploy, and maintain cloud-native applications on platforms such as AWS, Azure, or Google Cloud, using modern development practices and tools (Docker, Kubernetes, etc.).
• Design and implement scalable, maintainable, and secure architectures that ensure the integrity of the web application stack (from database to UI).

Cloud-Native Architecture & Design:

• Lead the design and development of cloud-native architectures, ensuring scalability, security, and performance optimization.
• Integrate cloud-native services into web applications, ensuring efficient use of cloud infrastructure and services such as microservices, serverless computing, and containerized deployments.

POC Development & Innovation:

• Take ownership of small-scale POCs, delivering them in an agile manner to explore new technologies, frameworks, or solutions, and demonstrate feasibility to stakeholders.
• Collaborate with product managers and stakeholders to prototype and validate new ideas, especially in the area of Generative AI and AI-driven applications.

Generative AI Application Development:

• Lead or contribute to the development of web applications that leverage Generative AI, building solutions that integrate AI models and providing expertise in handling AI workflows and deployments.
• Stay updated on the latest AI trends and technologies, and bring innovative AI-driven solutions to web applications to create a competitive advantage.

End-to-End Web Application Ownership:

• Take responsibility for the end-to-end delivery of web applications, from architectural design to final deployment.
• Collaborate with UI/UX designers, backend developers, and DevOps teams to ensure seamless integration and high-quality user experiences.

Agile Process & Continuous Improvement:

• Drive agile development processes, participating in sprint planning, daily standups, and retrospectives, and ensuring smooth and timely delivery of features and fixes.
• Continuously optimize and refactor code to ensure maintainability, scalability, and improved performance.
• Implement best practices in version control, CI/CD pipelines, and testing automation.

Core Skills:

• Experience: 8+ years of experience in full-stack web development, with at least 2 years in a technical lead role, overseeing the development process from concept to deployment.
• Technical Expertise:
• Proficiency in Python and experience in building backend services using frameworks such as Django, Flask, or FastAPI.
• Strong expertise in front-end development with frameworks like React, Angular, or Vue.
• Solid understanding of databases (SQL/NoSQL) and integration of back-end services with front-end interfaces.
• Experience with cloud-native architecture, designing and deploying applications on AWS, Azure, or Google Cloud, including services like Kubernetes, Docker, serverless, and microservices.
• Deep understanding of full-stack web development from front-end to backend, and cloud infrastructure.
• AI/Generative AI: Practical experience in developing applications that leverage Generative AI technologies and AI/ML models.
• Agile: Strong experience in leading teams using Agile methodologies, driving continuous delivery and improvement.
• Leadership: Ability to lead, mentor, and manage developers effectively, with strong communication skills and the ability to translate technical concepts to non-technical stakeholders.
• Problem-Solving: Ability to solve complex problems and implement scalable, reliable, and secure solutions.
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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