Senior Full Stack Developer (Python | AI Tools | Automation)

Full Description

Design, architect, and maintain scalable, high-performance full-stack web applications and websites using Python-based frameworks, modern front-end technologies, and robust data architectures.

Architect, build, and maintain RESTful APIs and backend services, ensuring seamless communication between frontend, backend, and distributed services.

Lead application architecture and system design, focusing on scalability, performance, security, and long-term maintainability.

Develop, integrate, and deploy AI-driven features and intelligent tools, including the integration of machine learning models into existing platforms and workflows.

Manage and optimize end-to-end CI/CD pipelines, enabling automated testing, continuous integration, and reliable production deployments.

Monitor, optimize, and improve application performance, proactively troubleshooting issues and identifying opportunities for system enhancement.

Build and manage full-stack applications using Python and data-driven architectures, ensuring reliability and robustness in production environments.

Write clean, well-documented, testable code following established coding standards and best practices to support maintainability and team collaboration.

Collaborate with cross-functional teams to translate business requirements into technical architectures and scalable solutions.

Take ownership of systems post-deployment, ensuring ongoing stability, improvements, and technical excellence.

Bachelor’s or Master’s degree in Computer Science or a related technical field, demonstrating a strong foundation in core computer science principles.

7+ years of hands-on experience in full-stack development, with deep expertise in Python-based backend development and extensive experience building web applications, websites, dashboards, and scalable platforms.

Strong practical experience with Python frameworks (Django, Flask), modern front-end frameworks (React, Angular, Vue.js), RESTful APIs, and SQL/NoSQL databases.

Proven experience working with AI/ML tools, AI integrations, and automation frameworks, including designing systems that automate workflows and optimize operational efficiency.

Solid exposure to cloud platforms (AWS, Azure, GCP) and modern DevOps practices; relevant certifications in Python, cloud, or AI/ML are a strong advantage.

Demonstrated ability to deliver and scale solutions in fast-paced, Agile environments, with experience following Agile methodologies and DevOps best practices.

Strong analytical and problem-solving skills, with a proven track record of working on diverse technical projects and adapting to evolving requirements.

Excellent English communication skills (written and spoken), enabling effective collaboration with cross-functional and international teams.

Strong professional and soft skills, including communication, teamwork, ownership, and leadership, with the ability to drive projects independently.

Proactive, technology-driven mindset with a passion for innovation, automation, and continuous learning.