Cloud Site Reliability Engineer (SRE)

• Reliability and Availability:

• Implement best practices for high availability and disaster recovery across cloud environments.
• Monitor system performance, availability, and incident response to ensure minimal downtime.
• Create and maintain robust monitoring and alerting systems.

• Automation and Infrastructure as Code (IaC):

• Develop and maintain automation scripts and Infrastructure as Code (IaC) templates for provisioning and managing cloud resources.
• Automate routine tasks to increase operational efficiency and reduce manual interventions.

• Scalability and Performance Optimization:

• Collaborate with development teams to design and implement scalable and performant cloud architectures.
• Conduct performance analysis and tuning to optimize system response times and resource utilization.

• Incident Response and Troubleshooting:

• Participate in incident response activities, including root cause analysis, resolution, and post-incident reviews.
• Troubleshoot complex issues across the cloud stack and coordinate with relevant teams for resolution.

• Security and Compliance:

• Implement security best practices and compliance measures in cloud environments.
• Collaborate with security teams to ensure data protection and compliance with industry standards.

• Capacity Planning:

• Monitor resource utilization and forecast capacity requirements to support business growth.
• Implement scaling strategies to accommodate changing workloads.

• Documentation and Knowledge Sharing:

• Maintain comprehensive documentation of cloud configurations, processes, and procedures.
• Share knowledge and best practices with team members and contribute to a culture of continuous learning.

• Bachelor's Degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in cloud operations, SRE, or a related role.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.

• Certification in cloud platforms (e.g., AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, Azure DevOps Engineer Expert).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of infrastructure monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Strong scripting and programming skills (e.g., Python, Bash, Go).
• Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI/CD).
• Excellent problem-solving and communication skills.
• Ability to work collaboratively in a cross-functional and fast-paced environment.

Manpower