Description

Design and implement scalable, secure cloud infrastructure and agentic AI systems on Google Cloud Platform.

This role is on-site.

Responsibilities

• Define NFRs for agentic systems including latency, throughput, cost, and safety guardrails.
• Build production-grade agentic AI solutions and evaluate frameworks for Google ecosystem adoption.
• Collaborate with engineering teams to embed quality gates and AI-assisted test generation in CI/CD pipelines.
• Drive platform-as-product thinking by creating golden paths and self-service tooling for internal developer experience.
• Mentor engineers, conduct design reviews, and maintain architecture decision records (ADRs).

Required Skills

• 9+ years of experience in cloud architecture and software engineering.
• Proficiency in Python and at least one of Go, Java, or TypeScript.
• Experience with Terraform, Cloud SDKs, Docker, and Kubernetes.
• Deep knowledge of GCP services such as AI Platform, Cloud Functions, and Pub/Sub.
• Strong background in microservices architecture and containerization.
• Ability to work effectively in geographically distributed teams.
• Familiarity with Atlassian toolset for project management and tracking.

Preferred Skills

• Experience defining NFRs for high-scale distributed systems.
• Proven track record in stakeholder management and communication.

Key Skills

Education

Bachelor's degree