Daniel Alejandro Gamboa Frayre

• Design, develop, and maintain CI/CD pipelines using Azure DevOps to support automated application delivery and infrastructure workflows.
• Collaborate with development and infrastructure teams to streamline build, testing, and release workflows.
• Participate in the migration of CI/CD workflows from Azure DevOps to GitHub Actions, contributing to pipeline modernization efforts.
• Troubleshoot and resolve pipeline, deployment, and automation-related issues across development and production environments.

• Supported AWS infrastructure in multi-region Terraform-managed environments, ensuring service availability and resilience across regions.
• Coordinated deployments across multiple teams and services, validating dependencies and minimizing service disruption during releases.
• Deployed, configured, and troubleshot Amazon EKS Kubernetes clusters, including node scaling, networking issues, and workload failures.
• Diagnosed and resolved AWS IAM permission and access issues, including policy creation, least-privilege adjustments, and cross-service access debugging.
• Used Amazon CloudWatch for monitoring, alerting, and infrastructure diagnostics.
• Performed troubleshooting using Datadog metrics, log streams, dashboards, and alerting to accelerate incident resolution.
• Followed and improved operational runbooks, documentation, and standard operating procedures.
• Managed AWS cloud services including RDS, S3, Lambda, Bedrock, and SageMaker.

Key Achievements

• Improved infrastructure reliability by standardizing Terraform modules and deployment patterns, reducing deployment-related incidents by approximately 25%.
• Contributed to reducing MTTR by approximately 30% through enhanced Datadog and CloudWatch observability.
• Improved shared Terraform modules, increasing reusability, operational consistency, and deployment efficiency.
• Migrated legacy infrastructure into modular Terraform structures, reducing onboarding time for new engineers.
• Collaborated in coordinated production deployments, reducing rollout friction and minimizing downtime.

• Supported self-managed Kubernetes platforms deployed with Kubespray, including cluster operations, workload troubleshooting, Helm deployments, and GitOps workflows with Argo CD.
• Investigated infrastructure, networking, and platform-related issues across hybrid and public cloud customer environments.
• Managed observability platforms using Prometheus, Grafana, and Kibana, including dashboards, alert tuning, and centralized log analysis.
• Administered Longhorn distributed storage, persistent volumes, backup and restore operations, and storage troubleshooting.
• Automated operational tasks using Bash, Python, and Ansible.

Key Achievements

• Promoted to a higher-responsibility role based on performance.
• Ranked among the Top 3 performers in ticket resolution during Q4 2024.
• Reduced incident resolution times by improving monitoring, alerting, and proactive issue detection.

• Performed first-level troubleshooting and incident triage for infrastructure, networking, Kubernetes, and OpenStack environments.
• Investigated alerts by analyzing logs, metrics, and monitoring data before escalating incidents to engineering teams.
• Managed incident tracking and customer communication through Jira ticketing workflows.
• Supported Kubernetes and OpenStack-based environments across hybrid and multi-datacenter infrastructures.

Key Achievements

• Improved incident response efficiency through proactive monitoring and faster alert triage.
• Reduced unnecessary escalations by resolving infrastructure and platform issues at the first support level.
• Developed strong troubleshooting expertise across Linux, Kubernetes, networking, and cloud infrastructure.

• Supported AWS cloud infrastructure with emphasis on EC2 lifecycle management, Linux administration, and operational excellence.
• Coordinated maintenance windows and Linux server patching across production environments.
• Enhanced infrastructure observability through Datadog integrations for monitoring, log aggregation, and troubleshooting.
• Supported automation initiatives using GitHub Actions for routine operational workflows.

Key Achievements

• Supported more than 100 Linux servers running on AWS.
• Maintained 99.9% availability for critical production workloads.
• Reduced manual operational work through process standardization and monitoring improvements.
• Assisted patching operations across multiple Linux environments with minimal downtime.
• Led automation efforts by creating reusable Bash, Python, and Ansible solutions adopted across operational teams.