
Syed M Danish
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Portfólio
Experiência profissional
Cloud Engineer
Contour Laboratories
Dec 2024 - Present • 1 yr 7 mos
• Design and maintain end-to-end CI/CD pipelines in Azure DevOps with automated approvals, quality gates, artifact versioning, test result integration, and canary deployment strategies to streamline build, test, and production rollout processes • Provision and manage AWS and Azure infrastructure using Terraform, including reusable modules for VPCs, compute, storage, IAM roles, security groups, Kubernetes resources, monitoring components, and controlled infrastructure change deployments • Use Ansible and Puppet for configuration management, server provisioning, package installation, service configuration, patching, and maintaining consistent system baselines across cloud and on-premise environments • Deploy and manage microservices and monolithic applications on AWS EC2, EKS, Docker, and Elastic Beanstalk with dynamic scaling, nginx reverse proxy, and cost-efficient infrastructure operations • Configure multi-cloud load balancing across AWS, Azure, and GCP with Auto Scaling Groups, CloudWatch monitoring, Prometheus metrics, automated alerting workflows, and high-availability deployment practices • Configure and maintain Prometheus and Grafana monitoring for Kubernetes and EC2 workloads, including EC2 Node Exporter service discovery, dashboards, alerting, infrastructure visibility, operational runbooks, and uptime improvement to 99.98%
DevOps Engineer
Bykea
Dec 2022 - Jan 2024 • 1 yr 1 mo
Reduced downtime by 80% and improved response times by 40% by deploying Kubernetes with blue/green strategies and tuning CloudWatch, Prometheus, and Grafana monitoring workflows ● Automated deployments with GitHub Actions and ArgoCD, reducing deployment time by 30% and improving code efficiency by 50% ● Managed MySQL and PostgreSQL databases with user controls, replication, performance tuning, and RDS Multi- AZ for high availability and zero data loss recovery ● Deployed centralized observability stacks (ELK, New Relic, Zabbix, Nagios) with Kibana alerts integrated into Slack and ServiceNow, accelerating incident detection and response ● Led incident response for production Kubernetes and database services, triaging outages, coordinating with app teams, and documenting resolution workflows