Azure Cloud Engineer — AI‑Driven SaaS Cloud Ops

Joblogic Service Management Software; Lahore; On-site; PKR 1,674,000 - 2,790,000; Full time

Benefits offered by this job

Medical insurance (including family)

OPD

Provident fund

Gym facility

Annual company trip

Quarterly team activities

Job summary

Joblogic in Pakistan is looking for an experienced Azure Cloud Engineer or DevOps Engineer to join our Automations and Integrations team. You will manage backend apps in Python and .NET on Azure Function Apps, optimize cloud resources, and ensure reliable performance.

The role emphasizes maintenance, bug investigation, and cost-efficient resource management, with CI/CD pipelines via Azure DevOps and collaboration across teams to support our AI-first, scalable platform.

Qualifications

• Experience maintaining and integrating .NET microservices.
• Hands-on experience with Azure Function Apps, SQL databases, and Redis.
• Strong SQL query optimization skills.
• Docker containerization expertise mandatory.
• Knowledge of CI/CD pipelines and DevOps tools like Azure DevOps or GitHub Actions.
• Understanding of cloud security best practices.

Responsibilities

• Maintain backend apps built with Python and .NET on Azure Functions.
• Manage and optimize Azure resources (Function Apps, SQL, Redis).
• Test, debug, and ensure reliability of services.
• Implement CI/CD and automate infra provisioning.
• Monitor performance and optimize costs and scalability.
• Collaborate with cross-functional teams for smooth integration.

Skills

NET

Azure

SQL

Redis

Docker

CI/CD

Azure DevOps

GitHub Actions

APIs

Troubleshooting

Communication

Team Collaboration

Tools

Docker

Azure DevOps

GitHub Actions

Postman

Prometheus

Grafana

Job description

Joblogic in Pakistan is looking for an experienced Azure Cloud Engineer or DevOps Engineer to join our Automations and Integrations team. You will manage backend apps in Python and .NET on Azure Function Apps, optimize cloud resources, and ensure reliable performance.

The role emphasizes maintenance, bug investigation, and cost-efficient resource management, with CI/CD pipelines via Azure DevOps and collaboration across teams to support our AI-first, scalable platform.