I have extensive experience working with AWS, having deployed and managed various services such as EC2, S3, RDS, and Lambda. I've also worked on Azure, utilizing services like Azure Kubernetes Service (AKS) and Azure Functions. My experience includes setting up and optimizing cloud infrastructure, automating deployments, and ensuring high availability and scalability of applications. I'm familiar with best practices for security and cost management in the cloud.

I implement CI/CD pipelines using tools like Jenkins, GitLab CI, or AWS CodePipeline. My approach involves automating the build, test, and deployment processes to ensure rapid and reliable delivery of software. I integrate static code analysis, unit tests, and integration tests into the pipeline to catch issues early. I also ensure that the pipeline is flexible enough to handle different environments, from development to production, with proper version control and rollback mechanisms.

I use a combination of cloud-native monitoring tools like AWS CloudWatch, Azure Monitor, and third-party solutions like Prometheus and Grafana. I set up dashboards to visualize key performance metrics and set up alerts for critical issues. I also perform regular performance tuning by analyzing logs and metrics to identify bottlenecks and optimize resource utilization. This includes adjusting instance sizes, optimizing database queries, and caching strategies to ensure the application runs efficiently.

I follow a multi-layered approach to cloud security, starting with securing the infrastructure by using IAM roles, policies, and encryption at rest and in transit. I implement network security using VPCs, security groups, and NACLs. For applications, I use secure coding practices, conduct regular security audits, and integrate security tools like AWS WAF and Azure Security Center. I also ensure compliance with industry standards and perform regular security training for the team.

I have a structured incident response plan that includes identifying, categorizing, and prioritizing incidents. I use automated monitoring and alerting to detect issues early and have predefined playbooks for common incidents. For disaster recovery, I implement multi-region deployments and use backup services like AWS Backup or Azure Site Recovery. I regularly test the recovery process to ensure it's effective and update the plan based on lessons learned from incidents and tests.