Live opening · Posted 7 days ago

Senior DevOps - Platform Engineer(Azure AI Infrastructure)

Simpliigence · Pune City, Maharashtra, India (Hybrid)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanySimpliigence
LocationPune City, Maharashtra, India (Hybrid)
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

We're looking for a Senior DevOps / Platform Engineer to design, secure, and operate the Azure infrastructure behind our AI and data platforms. You'll build the foundation that lets AI and Data Engineers ship multi-agent workloads to production quickly, safely, and cost-effectively.
Share an updated profile to
kavitha@simpliigence.com
(+91) 74839 25904
Job Location: Pune
Mode of Work : Hybrid
What You'll Do
Build secure Azure landing zones and network architecture (VNet integration, Private Endpoints) for AI and data platform services.
Develop modular Infrastructure as Code (Terraform/Bicep) and automated CI/CD pipelines (GitHub Actions/Azure DevOps) for Python microservices and data workloads.
Implement enterprise secrets management with Azure Key Vault, plus RBAC and Managed Identities across all environment tiers.
Configure and run production container environments (Azure Container Apps/AKS) for multi-agent workloads.
Set up system monitoring, telemetry logging, and operational alerting, along with automated cost controls and consumption caps for Azure OpenAI.
Partner with AI and Data Engineers to automate release deployments, continuous evaluation triggers, and infrastructure hardening.
Skills Required
Experience: 6+ years of hands-on DevOps/Platform Engineering in production Azure environments.
IaC and CI/CD: Deep proficiency in Infrastructure as Code (Bicep or Terraform) and pipeline automation (GitHub Actions or Azure DevOps).
Azure AI infrastructure: Hands-on experience provisioning Azure OpenAI, Azure AI Foundry, Azure AI Search, Container Apps/AKS, and API Management.
Cloud security: Strong background in VNet peering, Private Endpoints, secrets governance (Key Vault), zero-trust access control, and PII/data privacy compliance.
FinOps: Experience with budget guardrails, usage tracking, and token/API cost optimization.
Containers and automation: Strong working knowledge of Docker, Kubernetes, and Azure CLI automation.

Work arrangement
No

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