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.