This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level
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.
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.
Python Scripting, GCP
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
