I have over five years of experience managing cloud-based platforms, including AWS, Azure, and Google Cloud. My responsibilities included configuring virtual machines, managing storage solutions, and ensuring high availability through load balancing and auto-scaling. I also implemented monitoring tools like CloudWatch and Nagios to track system performance and resolve issues proactively. My focus has always been on optimizing costs while maintaining robust security and compliance standards.

I prioritize security by implementing multi-layered defenses, including firewalls, encryption, and regular vulnerability assessments. I enforce strict access controls using role-based permissions and multi-factor authentication. Additionally, I stay updated on the latest security patches and apply them promptly. I also conduct regular audits and employee training to mitigate risks. My goal is to create a secure environment while ensuring compliance with industry standards like GDPR and HIPAA.

During a major outage caused by a database failure, I quickly identified the root cause through log analysis and system diagnostics. I coordinated with the database team to restore backups and implemented failover mechanisms to minimize downtime. Simultaneously, I communicated updates to stakeholders to manage expectations. Post-resolution, I conducted a thorough review to prevent recurrence, including optimizing backup schedules and improving monitoring tools. This experience reinforced the importance of preparedness and clear communication during crises.

I design scalable architectures using auto-scaling groups, load balancers, and distributed databases to handle increasing traffic. I monitor resource utilization trends and plan capacity upgrades proactively. For example, I once migrated a monolithic application to a microservices architecture, enabling seamless scaling. I also leverage containerization tools like Docker and orchestration platforms like Kubernetes to ensure flexibility. My approach ensures platforms remain performant and cost-effective as user demands grow.

I use tools like Prometheus, Grafana, and Datadog for real-time monitoring and alerting. For log analysis, I rely on ELK Stack (Elasticsearch, Logstash, Kibana) and Splunk. I also utilize APM tools like New Relic to track application performance. When troubleshooting, I start with log analysis and system diagnostics, then escalate to deeper investigations using tools like Wireshark for network issues. These tools help me identify and resolve issues efficiently, ensuring minimal disruption to operations.