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.

- Solid 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.

📌 GCP AI Platform Engineer (Vertex AI & Cloud Engineering) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru