Senior Platform Engineer

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!

Role: Senior Platform Engineer - Azure

Experience Level: 4+ Years 

Work location: Mumbai, Bangalore & Trivandrum 

Notice Period: 0- 15 days

Role & Responsibilities: 

• Design and maintain scalable infrastructure on Azure using Terraform or Bicep, specifically for AI model orchestration.

• Provision and manage Azure AI Foundry hubs, compute clusters, and storage endpoints for agentic workstreams.

• Build automated CI/CD pipelines (Azure DevOps/GitHub Actions) for retraining and deploying AI agents.

• Implement NIST AI RMF standards for data lineage and security, ensuring all agentic activities are logged and auditable.

• Set up advanced monitoring using Azure Monitor or Prometheus/Grafana to track model drift and system latency.

• Manage GPU-enabled nodes and high-performance compute environments in AKS.

• Optimize model latency and token consumption to ensure scalable and cost-effective deployments.

Skills expectation: 

• Experience with Microsoft Azure (AKS, Azure Machine Learning, Azure Container Registry).

• Deep experience with Azure AI services, including AI Search, AI Foundry, and Azure OpenAI.

• Strong background in software architecture, including microservices and event-driven patterns (Azure Service Bus).

• Expert-level knowledge of Kubernetes, including ingress controllers and autoscaling.

• Strong proficiency in Terraform for environment standardization.

• Familiarity with NIST AI Risk Management Framework or ISO 27001.

• Strong proficiency in Python, Go, or Bash for platform automation.

• Familiarity with containerization (Docker, Kubernetes) for ML model serving.

• Configure Azure API Management and Key Vault to secure, monitor, and rotate credentials for all outbound agent connections to external tools.

• Provision and scale containerized "Scraper Pods" within Azure Kubernetes Service (AKS) to handle high-volume portal navigation tasks.

• Strong proficiency in Terraform for environment standardization & Experience with MLflow to manage the ML lifecycle.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Experience Level

Senior Level