• 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. 
  
• Stay current with emerging technologies and trends in performance engineering to provide technical guidance and leadership.
  

Requirements

• Bachelor’s degree in computer science, Information Systems, or related field.
  
• 5+ years of professional experience in DevOps, Site Reliability Engineering (SRE), or related field.
  
• In-depth knowledge of Docker and Kubernetes for containerization and orchestration.  
  
• 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. 
  
• Proficient in Groovy or similar programming languages (Java, Python).  
  
• 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.
  
• Experience with cloud platforms such as Azure and/or Google Cloud.  
  
• Familiarity with CI/CD pipeline creation and optimization. 
  
• Proficient understanding of code versioning tools, such as Git / SVN
  

• 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.