Gcp Architect

Alphacom Systems And Solutions

Bengaluru

Hybrid

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

Alphacom Systems And Solutions is looking for a GCP Architect with over 10 years of experience. The role involves defining scalable and secure solutions on GCP, benefiting from solid expertise in Python, Terraform, and AI technologies.

The ideal candidate will collaborate with engineering teams to innovate and create production-grade agentic systems, while also mentoring others and maintaining architecture decision records.

Qualifications

  • 10+ years of experience as an architect defining scalable solutions.
  • Proficiency in Python, Terraform, and at least one of Go/Java/TypeScript.
  • Experience in building agentic AI systems.

Responsibilities

  • Architect scalable, secure, and observable solutions on GCP.
  • Mentor engineers and conduct design reviews.
  • Evaluate and adopt frameworks for agentic workloads.

Skills

GCP Cloud
Python
Terraform
AI-ML
Docker
Kubernetes
CI/CD Pipelines
Microservices Architecture
Atlassian Tools

Education

GCP Professional Cloud Architect certification

Job description

Designation: GCP Architect
Experience: 10+

High level: Handson experience of building app on GCP cloud, Python, Terraform, AI-ML- Agentic AI Pipeline, Browser stack and Appium Testing automation.

Detailed Job description
  • 10+ years of experience
  • A seasoned architect that can define scalable, secure, and observable solutions on GCP
  • Proficient in Python, Terraform, Cloud SDKs and at least one of Go / Java / TypeScript.
  • Proficient in GCP services (AI Platform, Cloud Functions, Pub/Sub), containerization (Docker, Kubernetes), microservices architecture.
  • Lead the architecture of agentic AI pipelines multi-agent orchestration, tool-use, memory & context management, human-in-the-loop workflows.
  • Collaborate with engineering teams on CI/CD pipelines that embed quality gates and AI-assisted test generation.
  • Evaluate and adopt frameworks for agentic workloads – preferably in Google ecosystem
  • Experience in building production grade agentic AI systems
  • Define NFRs: latency, throughput, cost, safety guardrails, and reliability for agentic systems.
  • Drive platform-as-product thinking — internal developer experience, golden paths, and self-service tooling.
  • Mentor engineers, conduct design reviews, and maintain architecture decision records (ADRs).
  • Excellent communication and stakeholder management skills
  • Conversant in Atlassian or related tool set
  • Experience of working in geographically distributed teams
Preferred skills
  • Valid GCP Professional Cloud Architect or equivalent certification preferred.
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