Design and build fault-tolerant infrastructure for a Generative AI platform, ensure secure code delivery, and manage CI/CD pipelines in collaboration with cross-functional teams.
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
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Top Skills
Ai Platform
Api Gateway
AWS
BigQuery
Cloud Build
Docker
Github Actions
Gke
Google Cloud Platform
Helm
Jenkins
Kubernetes
Terraform
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