DevOps工程师简历模板 - 卡其色
IT互联网行业DevOps工程师求职简历模板，卡其色配色，3年工作经验
Siyuan Chen
DevOps Engineer
- Led migration of 300+ microservices to K8s, increasing containerization rate from 20% to 95%.
- Optimized CI/CD pipelines, reducing Mean Time to Deliver (MTTD) from 45 mins to 12 mins via parallel builds.
- Managed hybrid cloud via Terraform/Ansible, increasing infra delivery efficiency by 300%.
- Implemented comprehensive monitoring and AIOps, reducing Mean Time to Repair (MTTR) by 50%.
- Optimized resource utilization, saving approximately $180k USD in annual cloud costs.
- Maintained 500+ servers ensuring 99.99% SLA for core business services.
- Developed a Python-based automation portal for CMDB and resource provisioning for 200+ developers.
- Implemented Canary and Blue-Green deployment strategies for peak traffic events.
- Assisted in security hardening and vulnerability scanning, patching 100+ high-risk vulnerabilities.
End-to-End Observability & Logging System
- Goal: Solve tracing and logging fragmentation in microservices architecture.
- Tech Stack: Prometheus, Grafana, ELK, Kafka, and SkyWalking for distributed tracing.
- Results: Improved alert accuracy to 98% and tripled troubleshooting efficiency.
Multi-DC High Availability & Disaster Recovery System
- Background: Establish Active-Active and DR mechanisms for zero-downtime operations.
- Actions: Used GSLB for traffic distribution and KubeFed for multi-cluster state synchronization.
- Results: Achieved RTO < 2 minutes in real-world disaster drills with zero data loss.
- Major Courses: Operating Systems, Computer Networks, Algorithms, Cloud Computing, Database Systems
- GPA: 3.8/4.0 (Top 10%), awarded First-Class University Scholarship for three consecutive years
- Winner of Provincial First Prize in National Computer Design Contest; AWS Certified Solutions Architect
- Containerization: Expert in Docker and Kubernetes (K8s) management, including Helm, Istio, and CNI/CSI.
- CI/CD Pipelines: Proficient in Jenkins, GitLab CI, and ArgoCD for full lifecycle automation and GitOps.
- Infrastructure as Code: Skilled in Terraform for multi-cloud and Ansible for configuration management.
- Observability: In-depth knowledge of Prometheus, Grafana, ELK Stack, and distributed tracing.
- Programming: Proficient in Go for Kubernetes extension and Python/Shell for automation tool development.
- Middleware: Experienced in tuning and maintaining Nginx, Redis, Kafka, and RabbitMQ high-availability clusters.
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