FULL STACK - TEAM LEAD Our client is looking for an experienced Tech Lead to guide a team of 3-4 programmers in designing, developing, and deploying cutting-edge software solutions. The ideal candidate will have full-stack expertise, strong DevOps & AWS Cloud experience, and a background in AI/ML (Python). You will be responsible for driving technical decisions, ensuring best practices in CI/CD, and leading projects involving React Native (frontend), Node.js (backend), and Neo4j (graph database). Key Responsibilities: Technical Leadership: Lead a team of 3-4 developers in delivering high-quality software solutions. Define architecture, design patterns, and coding standards. Act as a Solution Architect, ensuring scalability, security, and performance. Full-Stack Development: Frontend: Develop and optimize applications using React Native, JavaScript. Backend: Build robust APIs and services using Node.js, Python (AI/ML). Database: Work with Neo4j (graph database) and other data storage solutions. DevOps & Cloud Infrastructure: Manage CI/CD pipelines for automated deployments. Oversee AWS Cloud infrastructure (EC2, Lambda, S3, RDS, etc.). Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. AI & Machine Learning: Lead AI-driven projects (NLP, predictive modeling, etc.) using Python. Integrate AI/ML models into applications and optimize performance. Project & Team Management: Mentor junior developers and conduct code reviews. Collaborate with stakeholders to align technical solutions with business goals. Requirements: Minimum 2 years of experience leading a team of 3-4 developers. Full-stack expertise: Frontend: React Native, JavaScript Backend: Node.js, Python (AI/ML) Cloud & DevOps: Hands-on with AWS, CI/CD, Docker, Kubernetes. AI Experience: At least 1 year working on AI/ML projects (Python). Database: Experience with Neo4j (graph database) is a plus. Strong problem-solving skills and ability to make high-level technical decisions. Nice to Have: Certifications in AWS, DevOps, or AI/ML. Experience with microservices architecture. Knowledge of Agile/Scrum methodologies. Show more Show less