Technical Lead (Full Stack + AI + Google)

BASIL TECHNOLOGIES PTE. LTD.; Singapore; Sur place; SGD 150 000 - 200 000; Plein temps

Résumé du poste

Basil Technologies Pte. Ltd. is seeking a Technical Lead (Full Stack + AI + Google) in Singapore. You will drive delivery of end-to-end solutions, combining strong backend with modern frontend and AI-assisted development practices.

You will lead technical teams across cloud, AI services, and data platforms, mentoring engineers while shaping architecture and coding standards. This role emphasizes secure, scalable systems and close collaboration with clients.

Qualifications

• 8+ years in full-stack software engineering with 3+ years in lead roles.
• 3+ years leading technical teams on cloud and AI projects.
• SI/consulting experience preferred.
• Hands-on with AI-assisted coding tools and practices.

Responsabilités

• Lead delivery of full-stack solutions with AI components.
• Architect and implement microservices and cloud integrations.
• Mentor teams; ensure code quality and scalable architecture.
• Collaborate with SI/consulting clients on solution delivery.

Connaissances

Full stack leadership

Python

Java

Golang

Node.js

React

Angular

Vue

API design REST GraphQL

Microservices

Event-driven

AI-assisted coding

GitHub Copilot

Google Cloud Platform

BigQuery

Dataflow

Pub/Sub

Docker

Kubernetes

Terraform

CI/CD on GCP

Security IAM

Outils

Docker

Kubernetes

Terraform

Cloud Build

Artifact Registry

AI tooling (Gemini, Copilot, etc.)

Description du poste

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.