Live opening · Posted 5 days ago
DevOps Engineer
Process Point Technologies Corporation · India (Remote)
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At a glance
The key details from the original listing.
CompanyProcess Point Technologies Corporation
LocationIndia (Remote)
Work modeYes
Source
Linkedin
Listed5 days ago
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About the role
Description supplied by the original job listing.
We're Hiring: Cloud Platform Engineer – Azure (DevOps / MLOps)
Company: Process Point Technologies
Location: Remote (anywhere in India)
Experience: 5+ years
Notice Period: Immediate joiners preferred
Shift: 2 PM – 11 PM IST (US overlap)
Role Overview
You will run and maintain an enterprise Azure platform, deploying ML models, data pipelines, and applications into production and keeping them stable, secure, and cost-efficient.
Key Responsibilities
Platform Operations & Infrastructure
• Monitor and resolve incidents across AKS, Azure Functions, Azure ML, App Service, Storage, and Key Vault
• Remediate security vulnerabilities and apply Azure service upgrades
• Troubleshoot networking and connectivity issues with IT and network teams
• Provision infrastructure for new projects via ServiceNow
• Monitor data and model pipelines; diagnose and fix failures
• Manage Key Vault secrets, service principals, and environment configuration
• Track Azure costs and recommend cost-efficient deployment patterns
Deployment & Containerization
• Containerize applications, publish to Azure Container Registry, and deploy to App Service and AKS via CI/CD
• Configure Entra ID app registrations for SSO and role mapping
• Set up storage, database connectivity, firewall rules, and DNS/SSL for new applications
• Deploy and support Streamlit apps and model-serving endpoints
Model & Pipeline Delivery
• Build, deploy, and support ETL pipelines
• Deploy ML models to production and support scoring and scheduled runs
• Convert data scientists' code into production-grade services
• Configure Azure AI services (AI Foundry, AI Search, Azure OpenAI)
Must Have
• Background in DevOps, Cloud Infrastructure, or MLOps
• Strong hands-on Azure: AKS, Functions, App Service, Azure ML, ACR, Key Vault, Storage, Entra ID
• Python and shell scripting
• Infrastructure-as-Code: Terraform / Bicep / ARM
• Docker and CI/CD (Azure DevOps preferred)
• Kubernetes operations and troubleshooting
• Networking: private endpoints, firewall rules, DNS, SSL/TLS
• Experience deploying and supporting ML models in production
• ETL development and pipeline monitoring
• Strong communication skills for working directly with client teams
Good to Have
• Azure certifications: AZ-104 / AZ-400 / DP-100
• Microsoft Fabric or Azure Synapse
• Azure AI Foundry / AI Search
• Experience in enterprise environments with change control processes
• Streamlit / FastAPI
Key Skills: Azure | AKS | Kubernetes | Docker | Terraform | Azure DevOps | CI/CD | MLOps | Python | ETL | Key Vault | Entra ID
Interested candidates can apply directly or share their updated resume at vinitha.reddy@pptcorporation.com
Work arrangement
Yes
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