Senior Platform Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Roles and Responsibilities:

• Design and build fault-tolerant infrastructure to support the Generative AI developer platform, including RAG, Summarization, and Agents.
• Ensure secure and high-quality code delivery by enforcing best engineering practices, code scanning, and vulnerability assessments.
• Develop and maintain Infrastructure as Code (IaC) using Terraform and Deployment Manager.
• Build and manage CI/CD pipelines with Jenkins, GitHub Actions, Cloud Build, and uDeploy.
• Collaborate with Architecture, Cloud, and Security teams to design and implement scalable platform solutions.
• Work closely with the Data Science team to develop and maintain Generative AI applications.
• Create reusable architecture templates (Architecture as Code) to streamline application topology.
• Manage and deploy applications efficiently using Jenkins and GitHub Actions while ensuring automation and pipeline robustness.

Required Skills:

• Strong expertise in Google Cloud Platform (GCP) with hands-on experience in Google Cloud Vertex AI Agent Builder or equivalent.
• Proficiency in Terraform for infrastructure automation.
• Experience with containerization and orchestration using Docker and Kubernetes (K8s).
• Hands-on experience with HELM for Kubernetes package management.
• Knowledge of multi-cloud environments, with AWS experience being a plus.
• Familiarity with CI/CD tools, automated testing, and deployment methodologies.
• Experience in designing and implementing data-intensive solutions using distributed system design and event-driven architecture.
• Understanding of scalable serverless application development using GCP services such as Cloud Functions and Cloud Run.
• Knowledge of GCP services like BigQuery, AI Platform, API Gateway, and GKE/Docker is a plus.
• Strong problem-solving skills with the ability to work in a collaborative team environment.
• Excellent communication skills to effectively engage with cross-functional teams