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Job Description
Job Duties :
- Create the pipelines for the continuous integrations/deployments and manage the Docker service containers
- Guide engineers on the creation of Docker scripts, Podman and K8s Resources, …etc
- Build and automate the provisioning of infrastructure and cloud-native services
- Increase system performance with a focus on high availability and scalability.
- Proactively detect, Debug, and resolve various CI issues
- Implement solutions to prevent the recurrence of the detected issue
- Use Ansible to automate production and manage multiple environments from configuration to deployment.
- Troubleshoot the system and solve problems across all platform and application domains
Job Requirements
- 3 years of advanced scripting (Bash/Python) experience & DevOps or systems Administrator with Linux Experience.
- 2 years of experience in Cloud-based application deployment and automation with on-Premise or Public clouds like Azure and Google platforms. Infrastructure / Application monitoring solutions (Prometheus Grafana ELK …) and deployment experience (Ansible, Terraform …)
- Understanding of Continuous Integration & Continuous Delivery in the software engineering process and a thorough understanding of how a DevOps / Systems Engineer facilitates these practices in collaboration with the Development, Quality Assurance, and Technical Operations teams to drive business goals.
- Experience using tools like Git, Jenkins, Docker, Kubernetes,
- Deployment automation experience using advanced scripting (Bash/Python).
- Experience in developing and maintaining CI/CD processes
- Hands-on experience in building and administering containers using tools such as Kubernetes.
- Experience with configuration management tools such as Ansible,
- Ability to use a wide variety of open source technologies and tools.
- Strong problem-solving skills with an investigative mentality, decision-making ability, and a capacity for strategic and associative thinking.
- Ability to demonstrate a clear, energetic, and excited interest in automating everything (build, test, release/deploy, monitoring, reporting)
