Alex Cloudwalker
alex.cloud@example.com|+1 (415) 555-0199|San Francisco, CA|LinkedIn|GitHub Professional Summary
Senior DevOps Engineer with 5+ years of experience specializing in AWS infrastructure, Kubernetes orchestration, and CI/CD automation. Proven track record of reducing deployment times by 60% and optimizing cloud costs by 30%. Expert in Terraform (IaC), Python scripting, and implementation of DevSecOps practices. Passionate about building resilient, scalable systems handling high-traffic workloads.
Technical Skills
AWS (EKS, EC2, Lambda, RDS, VPC) • Kubernetes & Docker (Helm, ArgoCD) • Infrastructure as Code (Terraform, Ansible) • CI/CD (GitHub Actions, Jenkins, GitLab) • Observability (Prometheus, Grafana, ELK) • Scripting (Python, Bash, Go) • Database Management (PostgreSQL, DynamoDB) • Security (IAM, WAF, Trivy, SonarQube)
Professional Experience
TechFlow SystemsSan Francisco, CA
Senior DevOps EngineerJan 2021 – Present
- Architected and migrated legacy monoliths to a microservices architecture on AWS EKS, reducing infrastructure costs by 30% annually.
- Designed and implemented a fully automated blue-green deployment pipeline using ArgoCD and GitHub Actions, achieving zero-downtime releases.
- Hardened security posture by implementing least-privilege IAM roles and automated vulnerability scanning, resulting in SOC2 compliance certification.
- Managed a multi-region PostgreSQL cluster with automated failover and disaster recovery, ensuring 99.99% system availability.
CloudScale SolutionsRemote
DevOps EngineerJun 2018 – Dec 2020
- Automated the provisioning of 200+ EC2 instances using Ansible and Terraform, reducing onboard time for new environments from 2 days to 1 hour.
- Developed Python scripts for automated log rotation and S3 lifecycle management, saving 10TB of storage usage per year.
- Implemented specific monitoring dashboards using Prometheus and Grafana to track key application metrics and reduce MTTR by 40%.
- Reduced build artifacts size by 50% by implementing multi-stage Docker builds and optimizing base images.
Key Projects
Serverless Image Processing PipelineAug 2022 – Oct 2022
- Built an event-driven image processing pipeline using AWS Lambda, S3, and SNS to resize and optimize user uploads automatically.
- Implemented standard error handling and Dead Letter Queues (DLQ) to ensure 100% data processing reliability.
- Integrated AWS CloudWatch for real-time monitoring and set up custom alarms to detect processing failures.
- Used Terraform to provision all infrastructure resources, enabling one-click deployment across multiple environments.
Kubernetes Cost OptimizerJan 2020 – Mar 2020
- Developed a custom controller to automatically scale down non-production environments during off-hours, saving $5k/month.
- Conducted load testing using Apache JMeter to validate system performance and stability under peak traffic conditions.
- Integrated with Slack to provide daily cost reports and alerts for unusual spending spikes.
- Implemented comprehensive cost allocation tagging strategy to track resource usage by department and project.
Education
University of California, Berkeley, Berkeley, CA– B.S. Computer Science in Computer Science
2014 – 2018
Certifications
AWS Certified Solutions Architect – Professional (2023) • Certified Kubernetes Administrator (CKA) (2022) • HashiCorp Certified: Terraform Associate (2021)