Job Description
Key Responsibilities:
- Design, build, and maintain scalable CI/CD pipelines to automate software builds, testing, and deployments.
- Manage and monitor cloud infrastructure (e.g., AWS, Azure, GCP) and on-premise systems.
- Implement Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or CloudFormation.
- Ensure system reliability, performance, and uptime through proactive monitoring and alerting.
- Collaborate closely with software engineers to optimize release cycles and application performance.
- Manage containerization and orchestration using Docker and Kubernetes.
- Implement and maintain robust security, compliance, and backup strategies.
- Support and troubleshoot production issues, ensuring quick root-cause analysis and resolution.
- Continuously evaluate and integrate new DevOps tools and best practices.
- Participate in on-call rotations as required.
Requirements
Required Qualifications & Experience:
- Bachelors degree in Computer Science, Information Technology, or related field.
- 35 years of experience in DevOps, Cloud Infrastructure, or Systems Engineering roles.
- Strong experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, CircleCI, Azure DevOps).
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with scripting and automation (e.g., Python, Bash, PowerShell).
- Solid understanding of networking, security principles, and Linux-based systems.
- Familiarity with version control (Git) and agile methodologies.
Preferred Skills:
- Experience with Kubernetes, Helm, and service mesh technologies.
- Familiarity with monitoring tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Knowledge of configuration management tools (e.g., Chef, Puppet, Ansible).
- Exposure to microservices architecture and RESTful APIs.
- Certification in AWS, Azure, or GCP (advantageous).
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Proactive mindset with a focus on automation and continuous improvement.
- Ability to work under pressure and manage multiple priorities.
Performance Indicators:
- Deployment success and rollback rates.
- System uptime and performance metrics.
- Reduction in manual interventions via automation.
- Speed and reliability of software releases.
- Collaboration effectiveness with development and operations teams.
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