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