GCP Architect

Company Brief

House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains.

Warehouse-as-a-Service platform

hands-on architecture role

.

Experience & Qualifications:

• 10+ years

  in IT, with

  5+ years in cloud architecture

  and

  3+ years on GCP

  .
• Proven success in designing

  GKE-based microservices

  for production at scale.
• Strong experience with

  App Engine, Cloud Run, and Cloud Functions

  .
• Expertise in

  AlloyDB, Cloud Spanner, and Cloud SQL

  database solutions.
• Knowledge of

  latest GCP services, AI/ML tools, and modern architecture patterns

  .
• Proficiency in

  API architecture, service integration, and distributed system design

  .
• Strong grasp of

  Git, DevOps automation, and CI/CD pipelines

  .
• Experience embedding

  AI/ML capabilities

  into cloud-native applications.
• Up-to-date on

  GCP security best practices

  and compliance requirements.
• Excellent communication skills for working with global, distributed teams.
• Experience in Green Field implementation.
• Experience in Big data frameworks, Spark, Python SQL.
• Experience in Medallion architecture, Data Modelling, Data streaming solutions.
• Experience in LLM, Open AI Integration (or) Vertex AI is big plus.
• Experience in any visualization tools (PowerBI, Qlik) is a plus.

Main tasks and responsibilities:

• Cloud Architecture Ownership

  – Design, document, and implement

  end-to-end GCP architectures

  for large-scale, enterprise logistics platforms.

• GKE & Microservices Expertise

  – Define

  Google Kubernetes Engine

  architecture, service mesh, scaling policies, and microservices deployment patterns.

• Latest GCP Adoption

  – Evaluate, recommend, and implement

  new GCP services and capabilities

  (e.g., Duet AI, latest networking features, new database offerings) for competitive advantage.

• Application Deployment Strategy

  – Architect deployment models using

  App Engine, Cloud Run, and Cloud Functions

  for optimal performance and cost.

• DevOps Integration

  – Establish CI/CD pipelines using

  Gemini Code Assist

  , CLI tools, and Git workflows to enable continuous delivery.

• Database Architecture

  – Design resilient, high-performance data models on

  AlloyDB, Cloud Spanner, and Cloud SQL

  .

• Security & Compliance

  – Build security into the architecture using IAM, VPC Service Controls, encryption, and compliance frameworks.

• AI Integration

  – Leverage

  Google Vertex AI, NLP APIs, and other AI tools

  to embed intelligence into core applications.

• Performance Optimization

  – Conduct architecture reviews, performance testing, and cost optimization on a regular basis.

• Technical Guidance

  – Collaborate with front-end, back-end, and DevOps teams to ensure adherence to architecture principles.