Key Responsibilities:
• Build, maintain, and scale continuous integration and delivery pipelines using
Jenkins, Git, and other automation tools.
• Implement and manage containerized applications using Docker and Kubernetes.
• Automate infrastructure provisioning and management using Terraform, Ansible,
and other Infrastructure as Code (IaC) tools.
• Deploy, manage, and monitor cloud environments in Azure and Google Cloud.
• Collaborate with development teams to streamline the development process and
reduce deployment time.
• Troubleshoot production and development issues in cloud environments and ensure
system uptime and reliability.
• Write and maintain scripts in Groovy, Perl, Shell, and other scripting languages to
automate tasks.
• Ensure system monitoring, alerting, and logging solutions are in place and are
functioning effectively.
• Contribute to the improvement of DevOps practices and tools, staying updated on
industry best practices and trends.
Requirements
Qualifications:
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent
practical experience.
• Minimum of 5 years of experience in DevOps, Site Reliability Engineering (SRE), or
related field.
• Expertise in cloud infrastructure and modern DevOps practices.
• Proven track record of working in agile development teams.
• Strong problem-solving skills with the ability to address complex build & deployment
issues.
• Excellent communication skills to interact with cross-functional teams
Must-Have Skills:
• Proficient in Groovy or similar programming languages (Java, Python).
• Experience with Perl .
• Expertise in Shell scripting for automation.
• Solid experience with Git for version control and continuous integration.
• Hands-on experience with Jenkins scripted pipelines with shared libraries for
continuous integration and deployment.
• In-depth knowledge of Docker and Kubernetes for containerization and
orchestration.
• Experience with cloud platforms such as Azure and/or Google Cloud.
• Familiarity with CI/CD pipeline creation and optimization.
Nice-to-Have Skills:
• Exposure to Ansible, Terraform, Packer for automation and infrastructure
management.
• Familiarity with Helm, FluxCD, ArgoCD, or similar Kubernetes management tools.
• Experience with Kustomize for Kubernetes configurations.
• Proficiency in Azure DevOps, particularly Azure Pipelines for automating workflows.
• Knowledge of monitoring tools like Prometheus, Grafana, New Relic, and similar
platforms.
• Interest or experience with AI technologies to automate system management and
optimizations.