Posted:1 day ago|
Platform:
On-site
Full Time
Greetings from Peoplefy!
This is a hands-on architecture role requiring deep mastery of GKE, App Engine, Cloud Run, Cloud Functions, microservices, and advanced databases such as AlloyDB, Cloud Spanner, and Cloud SQL — combined with the latest knowledge of GCP innovations, best practices, and emerging services. The architect will work closely with global teams to design, guide, and oversee secure, scalable, and high-performing deployments.
• 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.
• 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.
Peoplefy
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