Zelalem Berhe

Experience

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  DXC Technology

  Aug 2019 - Apr 2022

  AWS DevOps Engineer

  • Enhanced efficiency and reliability for Java-based applications using Maven, achieving a 30% reduction in build times.• Established a fully automated CI/CD pipeline with AWS CodePipeline and CodeBuild, cutting deployment time by 80% and increasing release frequency.• Leveraged AWS cloud services, including EC2, auto-scaling, and VPC, to design secure and scalable systems.• Automated issue tracking by applying Python scripts for GitHub webhooks, generating JIRA tickets from developer comments, and improving tracking efficiency by 40%.• Conducted Git best practices training sessions for new team members, reducing version control errors by 35% and streamlining workflows.• Implemented infrastructure as code (IaC) solutions using Terraform and Ansible, automating provisioning, configuration, and scaling of cloud environments.• Resolved server and network issues with strong troubleshooting skills, reducing resolution time by 50% compared to prior benchmarks.• Configured application monitoring systems using Prometheus and Grafana, improving monitoring efficiency by 45% and reducing downtime by 30%.• Managed AWS resources by importing EBS volumes, launching EC2 instances, creating security groups, and configuring auto-scaling, load balancers, Route 53, and SNS as required.• Developed and maintained CI/CD pipelines with Jenkins, Git, Maven, and Ansible, increasing deployment frequency by 50% and decreasing failures by 35%.• Administered containerized applications with Docker and Kubernetes, ensuring scalable and consistent environments for development and production.• Centralized logging processes using the ELK stack (Elasticsearch, Logstash, Kibana), significantly improving debugging and incident response times.• Streamlined server build processes for Windows and Linux environments using PowerShell and Bash, reducing provisioning times by 50%. Show less

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  Morgan Stanley

  May 2022 - now

  DevOps/Cloud Engineer

  • Architect scalable AWS cloud infrastructure to improve deployment efficiency by 30% and enhance system agility for dynamic workloads.• Integrate HashiCorp Consul as a service mesh in Kubernetes to enable secure service discovery, mTLS encryption, and traffic management for micro-services.• Perform Infrastructure as Code (IaC) with Terraform and AWS CloudFormation, ensuring 99.9% system consistency and reducing deployment errors by 35%.• Design and implement fully automated CI/CD pipelines using AWS CodePipeline and AWS CodeBuild, reducing release cycles by 40% and enhancing deployment speed.• Manage and scale over 100+ Kubernetes clusters in production and staging environments, maintaining 99.9% uptime and optimal resource utilization.• Customize monitoring solutions using Prometheus and Grafana to enable real-time performance tracking, reducing MTTR by 45% with proactive alerts.• Utilize Helm charts and Terraform to streamline deployments, achieving a 40% reduction in deployment times and improving resource efficiency by 25%.• Streamline continuous integration and deployment workflows with Azure DevOps, increasing team productivity by 30% through efficient task automation.• Automate routine cloud operations with Bash scripts and Python-based vulnerability scanners, minimizing manual intervention by 50%.• Leverage Ansible and Ansible Tower to manage configuration across 200+ servers, ensuring consistency and simplifying complex deployments.• Establish CI/CD pipelines with Jenkins, AWS Pipeline, and Azure DevOps to enable seamless integration and 95% task automation across platforms.• Integrate AWS services like Lambda, EC2, RDS, and DynamoDB to enhance system reliability and support over 1M requests daily with 30% improved performance.• Containerize and orchestrate Java applications with Docker and Kubernetes, achieving 99% scalability and reducing infrastructure costs by 20%. Show less