Technical Lead (Full Stack + AI + Google)

Role : Technical Lead (Full Stack + AI + Google) Requirements Experience Minimum 8 years of hands-on experience in full-stack software engineering, system integration, or solution delivery, with at least 3 years in a technical lead or principal engineer capacity. Minimum 3 years of demonstrated experience leading technical teams in medium to large projects involving cloud and AI technologies. Experience in SI or consulting environments is highly preferred. Full-Stack Development Capability (Mandatory) Backend Development: Strong programming experience in Python, Java, Golang, or Node.js. Expertise in API design and development (REST / Graph QL). Solid understanding of microservices architecture and middleware integration. Experience with message queues, event-driven architectures, and asynchronous processing. Knowledge of backend frameworks and design patterns. Frontend Development: Hands-on experience with modern frontend frameworks such as React, Angular, or Vue. Strong understanding of frontend architecture, component design, and state management. Experience with responsive design, cross-browser compatibility, and API integration. Familiarity with UI/UX best practices, performance optimization, and accessibility standards. Knowledge of modern frontend tooling (Webpack, Vite, etc.) AI-Assisted Development (Vibe Coding) : Must have hands-on experience with AI-assisted coding tools and practices. Proficiency with tools such as:- GitHub Copilot or similar AI pair programming assistants Cursor IDE or AI-enhanced development environments ChatGPT/Claude for code generation and problem-solving Google Cloud Code Assist (Gemini, Anti-gravity etc.,) Experience with:- Rapid prototyping using AI-generated code Prompt engineering for code generation Code review and refinement of AI-generated solutions Accelerated development workflows using AI assistance Understanding of best practices for:- Validating and testing AI-generated code Maintaining code quality while using AI tools Balancing speed with security and maintainability Effective prompt crafting for development tasks Google Cloud Platform Strong understanding and experience using coreGCP services:- Compute: Compute Engine, Cloud Run, Cloud Functions, GKE (GoogleKubernetes Engine) Storage: Cloud Storage, Filestore Databases: Cloud SQL, Firestore, Bigtable Data & Analytics: BigQuery, Dataflow,Pub/Sub Networking: VPC, Cloud Load Balancing, Cloud CDN Security & IAM: Identity and AccessManagement, Secret Manager, Cloud Armor Experience with CI/CD pipelines on GCP (CloudBuild, Artifact Registry). Hands-on experience with containers (Docker) and orchestration (Kubernetes/GKE). Infrastructure as Code experience (Terraform, Cloud Deployment Manager) is a plus. Data & Analytics Strongexperience with BigQuery for data warehousing, analytics, and ML featureengineering. Understandingof data pipelines, ETL/ELT processes, and data integration patterns. Experience with both SQL and NoSQL databases. Familiarity with data streaming (Pub/Sub, Dataflow). Understanding of data governance, privacy, and security best practices.