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Nuri Musa AWS Solutions Architect/DevOps Engineer Email: awsnura@gmail.com | Phone: +1 (323) 523-9253 Professional Summary: Results-oriented AWS Solutions Architect and DevOps Engineer with over 7 years of experience in designing and implementing scalable cloud architectures and automating deployment pipelines. Proficient in leveraging AWS services, including EC2, S3, Lambda, RDS, and VPC, to optimize infrastructure and enhance performance. Expertise in CI/CD methodologies and tools such as Jenkins, GitLab CI, and Terraform, driving efficiency and reliability in software delivery. Strong background in system administration, containerization with Docker and Kubernetes, and orchestration using Helm for seamless deployment. Skilled in monitoring and logging solutions like AWS CloudWatch, ELK Stack, and Prometheus to ensure high availability, security, and performance optimization. Committed to fostering collaboration across cross-functional teams, implementing Infrastructure as Code (IaC) principles, and adhering to best practices in cloud security and cost management to achieve business objectives and drive continuous improvement. Professional Skills: Cloud Services: AWS (EC2, S3, RDS, Lambda, VPC, CloudFormation, IAM, AWS CDK), Azure, Google Cloud Platform (GCP), Azure DevOps CI/CD & Automation: Jenkins, GitLab CI, Travis CI, CircleCI, Terraform, Ansible, Chef, Puppet, Spinnaker Containerization & Orchestration: Docker, Kubernetes, ECS, EKS, Helm, OpenShift, Istio, service mesh technologies Monitoring & Logging: AWS CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, Splunk, Datadog, New Relic Scripting & Programming: Python, Bash, PowerShell, Java, Node.js, Groovy, Ruby, Go Networking & Security: VPC, Security Groups, NACLs, AWS WAF, AWS Shield, VPN, IAM Roles and Policies, AWS Secrets Manager, S3 Bucket Policies Agile & Collaboration Tools: Jira, Confluence, Slack, Trello, Microsoft Teams, GitHub, Bitbucket, Azure DevOps Boards, Miro Data Management & Big Data: AWS Redshift, AWS Athena, AWS Glue, Amazon EMR, Apache Kafka, Apache Spark, NoSQL Databases (DynamoDB, MongoDB) Infrastructure as Code (IaC): AWS CloudFormation, Terraform, Pulumi, AWS CDK Testing & Quality Assurance: Selenium, JUnit, TestNG, Robot Framework, Gatling, performance testing tools (JMeter, LoadRunner) Education: B.Sc. Computer Science HiLCoE School of Computer Science & Technology, Addis Ababa, Ethiopia Certifications: Certificate AWS Solutions Architect Certificate AZ-301 Microsoft Azure Architect Design Certificate AWS SysOps Certificate AZ-500 Microsoft Azure Security Technologies Professional Experience: Intel AWS Solutions Architect Aug 2022 – Current • Designed and implemented cloud architecture solutions on AWS for over 15 projects, resulting in a 30% reduction in deployment time and increased system reliability. • Collaborated with cross-functional teams to migrate 40+ applications from on-premises to AWS, leveraging AWS CloudFormation and Terraform for Infrastructure as Code (IaC) practices. • Developed automated CI/CD pipelines using AWS CodePipeline, Jenkins, and GitLab, enhancing deployment frequency by 50% and reducing time to market. • Conducted cost analysis and optimization strategies that led to a 20% decrease in monthly AWS expenditures through the implementation of AWS Cost Explorer and AWS Budgets. • Implemented robust security measures, including IAM policies, AWS Shield, and AWS WAF, ensuring compliance with industry standards and achieving 99.9% uptime for critical applications. • Led performance tuning initiatives for AWS services, optimizing EC2 instances and RDS databases, resulting in a 40% improvement in application response times. • Mentored and coached a team of 5 junior engineers, fostering a culture of continuous learning and knowledge sharing in AWS architecture and best practices, which resulted in a 25% improvement in team productivity. • Provided leadership in cross-functional collaboration with DevOps teams to establish monitoring solutions using AWS CloudWatch, Datadog, and the ELK Stack, improving incident response times by 35%. • Developed and maintained detailed documentation of architectural designs and operational procedures, ensuring alignment with business objectives and compliance with best practices. • Actively engaged in stakeholder meetings to gather requirements and present solutions, successfully translating business needs into technical specifications for AWS services. • Championed the adoption of new AWS services and features, leading training sessions for the team, which kept the organization up-to-date with emerging technologies, resulting in improved operational efficiency and innovation. Dell Technologies AWS DevOps Engineer Sept 2020 – Jul 2022 • Developed and executed automated CI/CD workflows utilizing AWS CodePipeline and Jenkins, achieving a 40% decrease in deployment duration and enhancing code integrity through integrated testing. • Oversaw AWS infrastructure management using CloudFormation and Terraform, successfully deploying and scaling applications across diverse environments, resulting in a 30% boost in operational effectiveness. • Partnered with development teams to package applications with Docker and manage deployments through Kubernetes, improving application scalability and reducing infrastructure expenses by 25%. • Established monitoring and logging frameworks using AWS CloudWatch and the ELK Stack, facilitating early detection of system irregularities and enhancing incident response times by 20%. • Automated infrastructure setup and configuration management with Ansible scripts, cutting manual configuration time by 50% and ensuring uniformity across environments. • Conducted security evaluations and adopted best practices for IAM roles, security groups, and AWS WAF, fortifying the overall security framework and minimizing potential risks. • Aided in transitioning on-premises applications to AWS, leveraging services like AWS EC2 and RDS, ensuring a smooth migration with minimal downtime and achieving a 15% reduction in operational costs. • Created and maintained Python scripts for routine automation, increasing team efficiency by 30% and allowing engineers to prioritize more complex tasks. • Provided mentorship to junior engineers on AWS best practices, DevOps tools, and methodologies, resulting in enhanced skill levels and productivity within the team. • Engaged in Agile practices, including sprint planning and retrospectives, to foster team collaboration and improve project delivery, contributing to a 15% rise in project completion rates. • Performed ongoing performance optimization and tuning of AWS resources, leading to a 20% reduction in monthly AWS expenditures while maintaining high application performance and reliability. Deloitte DevOps Engineer Feb 2017 – Aug 2020 • Automated deployment processes using Jenkins and GitLab CI, resulting in a 35% reduction in deployment time and improved overall workflow efficiency across multiple projects. • Implemented Docker containers for microservices architecture, streamlining the development and production environments, which enhanced application portability and scalability by 40%. • Designed and maintained infrastructure on AWS, leveraging services such as EC2, S3, and RDS to support high availability and disaster recovery strategies, achieving a 99.9% uptime for critical applications. • Developed and optimized Terraform scripts for Infrastructure as Code (IaC), enabling version control and automated provisioning of resources, leading to a 25% decrease in infrastructure provisioning time. • Utilized Kubernetes for orchestrating containerized applications, managing a cluster of 50+ microservices, which improved application resilience and simplified rollbacks during deployment failures. • Collaborated with development teams to implement CI/CD pipelines, ensuring code quality through automated testing and security scanning, which resulted in a 30% decrease in post-deployment issues. • Implemented monitoring and alerting systems using AWS CloudWatch and ELK Stack, improving incident response times by 50% through proactive identification of system anomalies. • Conducted regular performance tuning and optimization of applications, leading to a 20% improvement in application response time and enhanced user experience. • Automated configuration management processes using Ansible, reducing manual intervention by 60% and ensuring consistent configuration across all environments. • Developed and documented operational runbooks and procedures for system maintenance, improving team efficiency and knowledge transfer across projects by 15%. • Engaged in troubleshooting and resolving production issues related to network connectivity and application performance, reducing mean time to resolution (MTTR) by 30% and improving system reliability.