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Quantiphi

Senior Platform Engineer

Quantiphi
Bengaluru, India
4-6 Years
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Job Description

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!

More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Technology
Employment Type:
Full time

About Company

Quantiphi

Job ID: 148379563

Jobs by Skill - IT
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Last Updated: 26-05-2026 05:56:00 PM
Homejobs in Bengaluru / BangaloreSenior Platform Engineer

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