Shujia Xu

A pythonic DevOps engineer focused on IaC, kubernetes and AWS services.

CV

(also available as a one-page PDF)

Education

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  • B.Eng. in Software Engineering (Info Security), Beijing Institute of Technology, 2013 – 2017

Internships

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  • Security intern, 08.2016 - 10.2016
    • BMW Autonomous Driving Campus, Munich
    • Multiple extended object tracking with Bayesian inference and finite set statistics
    • Algorithm improvement, implementation and validation with Matlab

Projects

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    Publications

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      Skills

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      • Languages
        • Mandarin Chinese: mother language
        • English: fluent in oral and written communication
          • TOEFL 105/120
          • GRE Verbal: 154, Quantitative: 166, Writing: 4.0
      • Programming & Scripting
        • Python: Advanced; extensive experience with Pandas, NumPy for data processing and scripting.
        • Go: Proficient; experience in building and maintaining backend services and CLI tools.
        • Shell (Bash/Zsh): Advanced; proficient in writing complex automation scripts, service management, and environment setup.
        • C: Experienced; with cross-compilation and Arduino development.
      • DevOps & Platforming
        • Containerization & Orchestration:
          • Kubernetes (CKA, CKS): Proficient in designing, deploying, and securing production clusters. Experienced with Helm.
          • Docker: Deep knowledge of Dockerfile best practices, multi-stage builds, and container security.
        • Cloud & Infrastructure as Code (IaC)
          • AWS (Certified Solutions Architect - Professional): Hands-on experience with EC2, S3, IAM, VPC, RDS, and Lambda.
          • Terraform: Advanced skills in writing modular code to provision and manage cloud infrastructure.
          • Snowflake: IaC
        • CI/CD & GitOps:
          • Ansible: Experience in configuration management and application deployment using playbooks and roles.
          • CI/CD: Designed and implemented end-to-end CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions. Practical experience with ArgoCD for GitOps-style continuous delivery in Kubernetes environments.
        • Monitoring & Logging:
          • Monitoring: Implemented monitoring and alerting with Prometheus and Grafana.
          • Logging: Managed centralized logging stacks using the EFK (Elasticsearch, Fluentd, Kibana) ecosystem.
      • Certifications
        • Kubernetes:
          • Certified Kubernetes Administrator (CKA)
          • Certified Kubernetes Security Specialist (CKS)
        • Cloud Service:
          • AWS Certified Solutions Architect - Professional (SAP)