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.