Cloud Infrastructure Engineer: Linux, CI/CD & Security

Allolancer international; Pakistan; On-site; PKR 3,261,000 - 4,892,000; Full time

Job summary

Allolancer International is seeking an IT Infrastructure Engineer to optimize cloud infrastructure and platform performance. You will review existing server setups, configure Linux servers, and enhance security, networking, and CI/CD pipelines.

The role spans 1–3 months and focuses on automated infrastructure, monitoring, and disaster recovery. Experience with cloud platforms, containerization, and monitoring tooling is essential to deliver reliable, scalable infrastructure for ongoing AI

Qualifications

• Linux System Administration.
• Cloud Platforms (Hetzner, AWS, Azure, or Google Cloud).
• Docker & Docker Compose.
• Nginx / Apache.
• Networking & Security.
• CI/CD (GitHub Actions, GitLab CI, Jenkins).
• Infrastructure Automation.
• Monitoring Tools (Grafana, Prometheus, etc.).

Responsibilities

• Review and optimize existing server infrastructure.
• Configure and improve Linux servers.
• Improve security, firewall, and access management.
• Optimize cloud networking and load balancing.
• Configure monitoring, logging, and alerting.
• Improve backup and disaster recovery strategy.
• Set up or optimize CI/CD deployment pipelines.
• Optimize database and application performance.
• Document the infrastructure and best practices.

Skills

Linux System Administration

Cloud Platforms

Networking & Security

CI/CD

Infrastructure Automation

Monitoring Tools

Docker & Docker Compose

Nginx / Apache

Tools

Docker

Docker Compose

Nginx

Apache

GitHub Actions

GitLab CI

Jenkins

Grafana

Prometheus

Job description

Allolancer International is seeking an IT Infrastructure Engineer to optimize cloud infrastructure and platform performance. You will review existing server setups, configure Linux servers, and enhance security, networking, and CI/CD pipelines.

The role spans 1–3 months and focuses on automated infrastructure, monitoring, and disaster recovery. Experience with cloud platforms, containerization, and monitoring tooling is essential to deliver reliable, scalable infrastructure for ongoing AI