Description

You will design and implement enterprise-grade cloud architectures on Google Cloud Platform, driving migration strategies and modernization initiatives. You will architect AI/ML solutions, including Generative AI and LLM applications, while ensuring robust data platforms and security governance.

This role is hybrid.

Responsibilities

• Design and implement scalable cloud architectures on GCP, adhering to Well-Architected Framework principles.
• Architect and deploy AI/ML solutions using Vertex AI, Gemini models, and RAG architectures.
• Build modern data platforms with BigQuery, Pub/Sub, and scalable data pipelines.
• Establish cloud security, identity management, and compliance controls.
• Mentor engineers and lead cross-functional teams for successful program execution.

Required Skills

• 10+ years of experience in cloud architecture and engineering.
• Expertise in Google Cloud Platform: GKE, GCE, Cloud Run, VPC, Cloud Storage, Cloud SQL.
• Strong proficiency in Python (mandatory); Java or Go preferred.
• Experience with AI/ML services: Vertex AI, AutoML, Document AI, and Vector Databases.
• Knowledge of Generative AI, LLMs, Prompt Engineering, and LangChain.
• Proficiency in Infrastructure as Code (Terraform) and CI/CD pipelines (Cloud Build, GitHub/GitLab).
• Experience with Docker, Kubernetes, and MLOps practices.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Google Professional Cloud Architect or Machine Learning Engineer certifications.
• Experience in semiconductor, manufacturing, or financial services industries.

Key Skills

Education

Bachelor's degree