Senior Platform Engineer

Experience: 4+ Years

Location: Mumbai, Bangalore & Trivandrum

Skills: Microsoft Azure, AKS, Azure Machine Learning, Azure Container Registry, Azure AI services, AI Search, AI Foundry, Azure OpenAI, software architecture, microservices, event-driven patterns, Azure Service Bus, Kubernetes, ingress controllers, autoscaling, Terraform, NIST AI Risk Management Framework, ISO 27001, Python, Go, Bash, Docker, Azure API Management, Azure Key Vault, Scraper Pods, MLflow

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.
Robust 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 workplace 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 setting 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 !

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