Duties & 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.
- Stay current with emerging technologies and trends in performance engineering to provide technical guidance and leadership.
Requirements
Basic Qualifications
- 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
Preferred Qualifications
- 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.
