DevOps Engineer

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 [HIDDEN TEXT]