: DevOps Engineer
Location: Cairo, Egypt (Hybrid)
Reports to: Software Architecture Manager
About Intella
At Intella, we transform how data and AI empower businesses. We build intelligent, data-driven solutions that help organizations make smarter, faster decisions. Our products are designed with scalability, reliability, and innovation at their core — and our engineering team is the driving force behind it all.
About the Role
As a DevOps Engineer at Intella, you’ll play a critical role in ensuring our systems are fast, reliable, and scalable. You’ll work closely with development and data teams to automate processes, streamline deployments, and enhance our infrastructure. Your goal: to make sure everything runs smoothly — from code to production.Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for seamless code deployment and integration.
- Manage and optimize cloud infrastructure (AWS, GCP, or Azure).
- Monitor and improve system performance, uptime, and scalability.
- Implement infrastructure as code (IaC) using tools like Terraform or Ansible.
- Automate repetitive tasks and optimize development workflows.
- Maintain security, compliance, and reliability of environments.
- Collaborate with software engineers to identify and resolve deployment issues.
- Support containerization and orchestration using Docker and Kubernetes.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 2–4 years of experience as a DevOps Engineer, Site Reliability Engineer (SRE), or similar role.
- Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.).
- Solid understanding of cloud infrastructure (AWS, GCP, or Azure).
- Proficiency in Docker, Kubernetes, and Linux systems administration.
- Strong scripting skills (Bash, Python, or similar).
- Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack.
Nice to Have
- Experience with microservices architecture.
- Familiarity with security best practices in DevOps.
- Exposure to AI/ML pipelines or data engineering environments.
- Prior experience in a startup or a
