Full stack Lead Developer

A Python Full Stack Lead Developer with hands-on experience in GCP & AWS AI services is a senior-level engineer who manages the entire software development life cycle, from front-end user interfaces to back-end logic and databases, with a specific focus on integrating AI and machine learning solutions from Google Cloud and Amazon Web Services
This role requires both technical leadership and a deep understanding of cloud-based AI ecosystems Experience: A minimum of 5-8 years in full stack development, with at least 2-3 years in a lead or senior role Python Expertise: Deep proficiency in Python is a must, including experience with frameworks like Django or Flask Front-end Skills: Strong command of JavaScript, HTML, and CSS, with hands-on experience in at least one modern framework like React, Angular, or Vue js Cloud Platforms: AWS: Proven experience with AWS services, including EC2, Lambda, S3, IAM, and AI services (SageMaker, Rekognition) GCP: Proven experience with GCP services, including Compute Engine, Cloud Functions, Cloud Storage, and AI services (Vertex AI, Vision AI) Technical Leadership & Mentoring: Lead a team of developers, providing guidance, conducting code reviews, and ensuring the adoption of best practices Youll be the technical authority, making key decisions on architecture and implementation Full Stack Development: Architect, design, and build scalable web applications using Python for the back end and modern JavaScript frameworks for the front end This includes hands-on coding to develop new features, troubleshoot complex issues, and optimize application performance Cloud AI Integration: Integrate and manage AI/ML services from both Google Cloud Platform (GCP) and Amazon Web Services (AWS) This includes leveraging services like AWS SageMaker, Rekognition, and Polly, as well as GCP Vertex AI, Vision AI, and Natural Language AI Architectural Design: Design and implement robust software architectures, including serverless functions, microservices, and containerized applications using technologies like Docker and Kubernetes Data & Database Management: Work with both relational (eg PostgreSQL) and NoSQL (eg MongoDB) databases, ensuring data integrity and optimizing database performance Youll also manage data pipelines for the AI services DevOps & Deployment: Oversee the entire DevOps pipeline, from continuous integration/continuous delivery (CI/CD) to monitoring and logging Youll be responsible for deploying and managing applications on both AWS and GCP