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





Requirements



Detailed Job description:



  • 9+ 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.


Must-have skills


Python Scripting, GCP