Job Title: 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.
- 24 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 agile environment.
