Key skills
GitLab pipelinesPython scriptingShell scriptingLinux command executionDockerKubernetesYMLTerraformAnsibleAgile methodologiesPythonJavaSQLShellGitLabServiceNowAgile
About this role
Zenosys is looking for a DevOps Engineer to define, develop, and implement new systems while providing production support for complex systems. The role involves collaborating with teams to build GitLab pipelines and utilizing Python and shell scripting for automation.
Responsibilities:
- Define, develop, and implement new systems and major enhancements to existing systems
- Provide production support for systems with high complexity
- Lead major feasibility or business systems analysis studies
- Collaborate with teams to build and maintain GitLab pipelines
- Utilize Python and shell scripting for automation and system improvements
- Navigate and execute Linux commands effectively
- Leverage containerization tools such as Docker and Kubernetes
- Apply infrastructure-as-code tools like YML, Terraform, and Ansible
- Work differing shifts to accommodate project needs
Requirements:
- Strong understanding of Agile methodologies
- Expertise in GitLab pipelines
- Proficiency in Python scripting and shell scripting
- Advanced Linux navigation and command execution skills
- Experience with containerization (e.g., Docker, Kubernetes)
- Familiarity with YML, Terraform, and Ansible
- Ability to work flexible shifts
- Urban Code Build/Deploy experience
- Knowledge of multiregional development and release cadences
- API usage skills
- Familiarity with ServiceNow
- Mainframe experience
- Troubleshooting expertise in mainframe, Java, container, SQL, and Pega environments
- Understanding scalability impacts in large (3k+ repo) situations
- Bachelor's degree required