Aman Asangulov

Established and transformed CI/CD workflows utilizing platforms such as CircleCI, Github Actions, ArgoCD, and Spinnaker, either initiating from foundational blueprints or transitioning from alternative CI/CD methodologies.
Created Terraform module blueprints spanning multiple environments and accounts, adeptly provisioning AWS and GCP resources in a structured and scalable manner.
Executed advanced automation strategies, leveraging Python, Bash Scripts, and Helm charts, culminating in an impressive reduction of manual work.
Engineered comprehensive monitoring frameworks with Datadog and NewRelic for microservice ecosystems, crafting dashboards and establishing proactive alert mechanisms.

Collaborated with development teams to detect core issues and ensure adherence to DevOps best practices throughout the software development lifecycle (SDLC).

• Implemented and maintained continuous integration and deployment (CI/CD) pipelines using tools like Jenkins and AWS CodePipeline which led to an improvement in the time to ship new feature releases by 30%.
• Containerized applications via Docker and utilized microservices orchestration deployment with Kubernetes, accelerating release cycles and slashing manual work.
• Leveraged Terraform and Ansible to automate infrastructure provisioning and configuration, resulting in a 20% optimization of the AWS Cloud resource deployment workflow.
• Managed cloud infrastructure on AWS, including VPC, IAM, Cloudfront, RDS, SNS, DNS and other resources ensuring scalability, reliability, and security of applications.
• Monitored system performance and conduct troubleshooting to identify and resolve errors, ensuring high availability and performance of applications using New Relic, Prometheus and Grafana, cutting issue resolution time by 50%.

• Leveraged cloud services such as EC2, auto-scaling and ELB to build highly available, scalable and flexible systems that handled expected and unexpected load bursts.
• Configured versatile IAM authorization by following security best practices, and implemented MFA, and cross-account access within AWS Organization, achieving 99.99% unauthorized access prevention.
• Developed an AWS Lambda function that triggers AWS CloudWatch Alarm notifications to designated Slack channel whenever CPU usage surpasses 90% of the set threshold which led to a 40% improvement in response time to critical issues.
• Strengthened cloud security via AWS Secrets Manager, Parameter Store and optimized network cost by 38% through Transit Gateways for VPC peering.
• Provided highly durable and available data by using S3 service, versioning, lifecycle policies and created AMIs for mission critical production servers for backup.