Alaan is Hiring Entry level Cloud DevOps Network Engineer

Alaan is a fast-growing AI-powered fintech platform transforming corporate spend management across the Middle East. The company operates at high scale across UAE and KSA, serving thousands of enterprise customers with real-time financial automation, cloud-native infrastructure, and AI-driven analytics systems.

This role is designed for engineers who want to work in high-growth fintech environments, focusing on DevOps engineering, cloud infrastructure automation, network reliability, SRE practices, CI/CD pipeline engineering, and distributed system scalability.

You will be part of a high-performance engineering team responsible for building resilient financial systems that handle real-time transactions, secure payment workflows, enterprise integrations, and mission-critical cloud workloads.

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Career Growth Opportunities

This role is a high-impact entry into global fintech infrastructure engineering. You will have clear growth pathways into:

• DevOps Engineer

• Site Reliability Engineer (SRE)

• Cloud Infrastructure Engineer

• Platform Engineer

• Cloud Security Engineer

• FinTech Infrastructure Architect

• Senior DevOps Engineer

• Principal Cloud Engineer

• FinOps & Cloud Cost Optimization Specialist

You will gain exposure to enterprise-scale systems used across Middle East financial ecosystems and global fintech infrastructure.

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Key Responsibilities

• Design, build, and maintain scalable CI/CD pipelines for continuous deployment of fintech applications

• Manage multi-cloud infrastructure across AWS, GCP, and Azure environments

• Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation)

• Monitor production systems for uptime, latency, reliability, and performance

• Handle incident response, troubleshooting, and root cause analysis for production issues

• Work closely with backend and frontend engineering teams to ensure seamless deployments

• Manage Docker-based containerized workloads and orchestration systems

• Implement security best practices including IAM, RBAC, encryption, and secure networking

• Maintain system observability using monitoring and logging tools like Grafana and CloudWatch

• Configure alerts, dashboards, and real-time monitoring for distributed systems

• Manage Linux-based servers, system tuning, performance optimization, and troubleshooting

• Implement backup strategies, disaster recovery plans, and failover mechanisms

• Improve scalability and cost efficiency of cloud infrastructure (FinOps practices)

• Participate in on-call rotation and production support for critical systems

• Drive automation to reduce manual operations and improve developer productivity

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Technical Skills Required

• Strong hands-on experience with AWS (preferred), GCP, or Azure

• Deep understanding of Linux system administration and performance tuning

• Strong experience with Docker containerization

• CI/CD tools: Jenkins, GitHub Actions, GitLab CI

• Version control systems: Git and branching strategies

• Infrastructure as Code: Terraform, CloudFormation

• Monitoring tools: Grafana, CloudWatch, Prometheus (preferred)

• Networking fundamentals: DNS, VPC, Subnets, Load Balancers, SSL, Firewalls

• Scripting: Bash, Python for automation

• Cloud security fundamentals: IAM roles, policies, encryption, secrets management

• Knowledge of distributed systems and microservices architecture

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Preferred Skills

• Kubernetes / Amazon EKS / GKE experience

• Experience with Kafka, Redis, or distributed messaging systems

• Exposure to FinTech or high-transaction systems

• Experience with DevSecOps practices

• Cloud cost optimization (FinOps) experience

• Startup environment experience with fast deployment cycles

• Experience with high availability and disaster recovery systems

• Observability tools (ELK Stack, Datadog, OpenTelemetry)

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Interview Questions (High-Probability)

1. What happens during a CI/CD pipeline deployment failure?

2. Explain how AWS VPC networking works.

3. Difference between Docker and Kubernetes.

4. How do you troubleshoot high CPU usage in production?

5. What is Terraform state file and why is it important?

6. Explain load balancing strategies in cloud systems.

7. How do you ensure zero-downtime deployments?

8. What is the difference between vertical and horizontal scaling?

9. Explain DNS resolution flow.

10. What is blue-green deployment?

11. How do you secure a cloud infrastructure?

12. What monitoring metrics are critical for SRE?

13. Explain failover and disaster recovery strategy.

14. What is the role of Redis/Kafka in distributed systems?

15. How do you reduce cloud cost in production systems?

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Resume Optimization Tips

• Highlight AWS / Azure / GCP projects clearly

• Mention Terraform, Docker, Kubernetes hands-on work

• Add GitHub CI/CD pipeline projects

• Include Linux troubleshooting experience

• Showcase system design or cloud architecture diagrams

• Mention automation scripts (Python/Bash)

• Include internship or freelance DevOps exposure

• Add certifications (AWS, Azure, Kubernetes, DevOps)

• Focus on scalability, reliability, and automation keywords

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