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Full Time Technical Lead – Full Stack AI - Google Cloud Jobs, in Elliott Moss Consulting - Maukerja

Technical Lead – Full Stack AI - Google Cloud

Elliott Moss Consulting

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

We are seeking an experienced Technical Lead with 8+ years of full-stack software engineering experience and 3+ years leading technical teams to drive the design and delivery of AI-powered, cloud-native solutions. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), Vertex AI, Generative AI, modern full-stack development, and cloud architecture.

Key Responsibilities:

  • Lead end-to-end technical design, architecture, and delivery of AI-powered applications.
  • Design scalable, secure, and cloud-native solutions using GCP services and modern architectures.
  • Build and integrate Generative AI solutions using Vertex AI, Gemini, RAG, vector search, and LLMs.
  • Provide technical leadership, mentor engineering teams, and conduct architecture and code reviews.
  • Collaborate with clients and cross-functional teams to translate business requirements into technical solutions.
  • Drive DevOps, CI/CD, security, governance, and AI best practices throughout the SDLC.

Required Skills:

  • 8+ years of experience in Full Stack Development and Technical Leadership.
  • Strong backend expertise in Python, Java, Golang, or Node.js with REST/GraphQL APIs and microservices.
  • Hands-on frontend experience with React, Angular, or Vue.js.
  • Strong experience with Google Cloud Platform (GCP) including Cloud Run, GKE, BigQuery, Pub/Sub, Cloud SQL, IAM, and Cloud Build.
  • Hands-on experience with Vertex AI, Gemini, Prompt Engineering, RAG, Vector Search, and Generative AI.
  • Experience with Docker, Kubernetes, CI/CD, Git, Terraform, and cloud-native development.
  • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor IDE, ChatGPT, Claude, and Google Cloud Code Assist.
  • Strong understanding of DevOps, security, monitoring, and observability.

Preferred:

  • Experience in System Integration or Consulting environments.
  • Exposure to Azure and AWS cloud platforms.
  • Knowledge of data engineering, BigQuery, ETL/ELT, Pub/Sub, and Dataflow.
  • Experience supporting pre-sales activities, solutioning, and client presentations.


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