GCP Application Architect

Posted 20 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead design and implementation of scalable, secure, observable GCP architectures and production-grade agentic AI pipelines. Build containerized microservices, CI/CD, automation testing, define NFRs, drive platform-as-product, mentor engineers, and manage stakeholders across distributed teams.
Summary Generated by Built In

This role is for one of the Weekday's clients

Min Experience: 9+ years

Location: Bengaluru

JobType: full-time

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

Skills Required

  • 9+ years of experience
  • Architect scalable, secure, and observable solutions on GCP
  • Proficient in Python (scripting)
  • Proficient in Terraform
  • Experience with Cloud SDKs
  • Proficiency in at least one of Go, Java, or TypeScript
  • Experience with GCP services (AI Platform, Cloud Functions, Pub/Sub)
  • Containerization: Docker and Kubernetes
  • Microservices architecture experience
  • Lead architecture of agentic AI pipelines (multi-agent orchestration, memory/context management, tool-use, human-in-the-loop)
  • Experience building production-grade agentic AI systems
  • Collaborate on CI/CD pipelines embedding quality gates and AI-assisted test generation
  • Experience with BrowserStack and Appium test automation
  • Define NFRs: latency, throughput, cost, safety guardrails, reliability for agentic systems
  • Platform-as-product mindset: internal developer experience, golden paths, self-service tooling
  • Mentor engineers, conduct design reviews, maintain architecture decision records (ADRs)
  • Excellent communication and stakeholder management skills
  • Conversant in Atlassian or related tool set
  • Experience working in geographically distributed teams
  • Valid GCP Professional Cloud Architect or equivalent certification
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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