Position: AWS DevOps engineer
Category: DevOps
English level: upper
Years of experience: 3

Designed and implemented a fully automated CI/CD pipeline using AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy for a complex application, resulting in a significant reduction in deployment time and increased reliability.
Created infrastructure as code using Terraform and CloudFormation to automate the deployment and management of AWS resources, reducing manual intervention and improving the consistency of the infrastructure.
Implemented a self-healing infrastructure using AWS Lambda and AWS CloudWatch, which automatically detects and resolves issues, resulting in improved system availability and reduced downtime.
Developed and maintained a library of automated scripts using Python and Bash, which automated routine tasks, reducing the workload on the operations team and freeing up time for more critical tasks.
Optimized AWS resources usage and costs by implementing an AWS cost monitoring solution, which tracked usage and identified cost-saving opportunities, leading to a 30% reduction in monthly AWS costs.
Led the migration of on-premises infrastructure to AWS, which involved designing the architecture, implementing the migration plan, and automating the deployment process, resulting in a more reliable and scalable infrastructure.
Overall, as an AWS DevOps engineer with a passion for automation, my accomplishments demonstrate my ability to design, implement and maintain robust and scalable infrastructure using a combination of AWS services and automation tools. My focus on automation has led to increased efficiency, reliability, and cost savings for the organizations I have worked for, and I am always looking for new ways to improve and innovate.
Key Responsibilities:
Worked with cross-functional teams to design and implement infrastructure as code using Terraform, AWS, and Azure DevOps
Implemented and maintained CI/CD pipelines using Jenkins to automate application builds, testing, and deployment to multiple environments
Configured and managed Apache web servers on Linux-based environments to ensure maximum uptime and reliability
Wrote Bash scripts to automate routine tasks and improve the overall efficiency of the team
Managed and maintained cloud-based infrastructure on AWS and Azure, ensuring optimal performance and cost-efficiency
Implemented containerization using Docker and Kubernetes to improve the scalability and reliability of applications
Worked with development teams to troubleshoot and resolve application and infrastructure issues
Documented infrastructure and application architecture and maintained up-to-date technical documentation
Provided support and mentoring to junior team members
Key Achievements:
Successfully implemented Kubernetes for a new microservices-based application, resulting in improved scalability and resiliency
Reduced infrastructure costs by 20% by optimizing cloud resources and implementing cost-saving measures
Improved application deployment time by 50% by implementing a fully automated CI/CD pipeline using Jenkins
Conducted training sessions on Docker and Kubernetes to improve team members' skills and knowledge
Overall, as a DevOps engineer with a passion for automation, I am constantly seeking new ways to improve processes and infrastructure to enhance the efficiency and reliability of systems. I am eager to work with containerization tools like Docker and Kubernetes to build scalable and resilient systems that can handle high volumes of traffic and maintain optimal performance.