GCP AI Platform Engineer (Vertex AI & Cloud Engineering)

Key Responsibilities

• Design, deploy, and support scalable, secure, and highly available AI platforms on Google Cloud Platform.
• Ensure the availability, reliability, and operational excellence of Vertex AI and related cloud services.
• Build reusable cloud infrastructure patterns and standards for engineering teams.
• Develop and maintain infrastructure automation using Terraform.
• Work closely with business, architecture, engineering, and data science teams to define future-state cloud platform strategies.
• Support the deployment and operationalization of AI solutions and ML pipelines.
• Implement security and governance controls across cloud environments.
• Ensure secure exposure and management of AI models and services following enterprise security standards.
• Apply DevSecOps practices with a strong focus on automation, security, and shift-left methodologies.
• Manage Linux-based cloud environments and troubleshoot platform-related issues.
• Stay informed on emerging cloud, AI, and machine learning technologies and recommend improvements.
• Contribute to cloud architecture reviews, governance processes, and platform standardization initiatives.

Required Skills

• 6+ years of experience in Cloud Engineering, Platform Engineering, or Infrastructure Engineering.
• Hands-on experience with Google Cloud Platform (GCP).
• Experience working with AI platforms such as Vertex AI, SageMaker, Bedrock, or Copilot ecosystems.
• Strong expertise in Terraform and Infrastructure as Code (IaC).
• Advanced knowledge of DevSecOps practices and automation.
• Strong understanding of network security and cloud security principles.
• Experience managing Linux environments, preferably RHEL.
• Knowledge of scalable architecture patterns and AI/ML workflows.
• Experience designing secure, reliable, and highly available cloud platforms.

Preferred Skills

• Experience with SAFe Agile methodology.
• Exposure to MLOps practices and ML pipeline automation.
• BDD/TDD experience.
• Python programming knowledge.
• Experience with cloud governance frameworks.
• Understanding of enterprise AI security and compliance practices.

Desired Candidate Profile

• Strong analytical and problem-solving skills.
• Excellent stakeholder management and collaboration abilities.
• Ability to work across multiple engineering and business teams.
• Strong ownership and accountability mindset.
• Passion for innovation in Cloud, AI, and Machine Learning technologies.
• Excellent verbal and written communication skills.