Architecture Design: Lead the design and implementation of scalable, automated, and secure cloud infrastructure. Define best practices for the development, deployment, and monitoring of systems and services.
Automation: Develop and manage automation tools to streamline deployment processes, reduce manual tasks, and improve operational efficiency.
CI/CD Pipeline: Design, implement, and maintain continuous integration and continuous delivery (CI/CD) pipelines to ensure faster and more reliable deployments.
Cloud Infrastructure Management: Manage and optimize cloud resources (AWS, Google Cloud, Azure), ensuring systems are scalable, cost-efficient, and secure.
Monitoring and Performance Optimization: Implement and manage monitoring and logging solutions to proactively identify and resolve issues, ensuring high availability and performance.
Collaboration: Work closely with development, operations, and security teams to integrate DevOps practices, improve system reliability, and ensure smooth software delivery.
Security and Compliance: Implement security best practices, including access management, encryption, and automated vulnerability scanning, to ensure the security of infrastructure and applications.
Troubleshooting and Incident Management: Lead the troubleshooting of production issues, including root cause analysis and coordination of remediation efforts across teams.
Mentorship: Provide leadership and mentorship to junior DevOps engineers, guiding them in implementing best practices and improving technical skills.
Qualifications:
Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent professional experience).
Experience:5+ years of experience in DevOps engineering, cloud infrastructure management, or related fields. 2+ years of experience in a leadership or architect role, designing and implementing large-scale systems and infrastructures. Extensive experience with CI/CD tools such as Jenkins, GitLab CI, CircleCI, or similar. Strong experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure. Expertise in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools. Hands-on experience with infrastructure as code (e.g., Terraform, CloudFormation). Proficiency in scripting languages such as Python, Bash, or Ruby. Experience with monitoring tools like Prometheus, Grafana, ELK Stack, or Datadog.
