OPERATIONS / AWS PORTFOLIO

FROM OPERATIONS TO CLOUD BUILD & IMPROVEMENT

Wang Yuanpei 王 源培

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IT operations experience. Hands-on AWS practice.

Experience operating Windows Server and VMware environments, with first-line incident response for Linux and AWS services. My personal AWS project brings together infrastructure configuration, deployment automation, unit tests, and Terraform.

Tokyo, Japan / Japanese: JLPT N1 · Chinese: native · English: TOEIC 775

Explore the AWS projectView code on GitHub

Personal AWS project

Cloud Resume Challenge

A serverless resume website

I built this bilingual site on AWS to extend my operations experience into building and automation. I used generative AI as a learning aid and carried out the configuration, implementation, and deployment myself.

Architecture: page delivery, access counter, monitoring, and how the stack is updated
Architecture diagram. Browser to CloudFront, then through OAC to a private S3 bucket. Browser to API Gateway, Lambda, and DynamoDB. CloudWatch alarms watch API Gateway and Lambda error counts and SNS sends email alerts. GitHub Actions syncs the frontend and updates Lambda code; Terraform manages backend and monitoring configuration.
BrowserCloudFrontPrivate S3
BrowserAPI GatewayLambda / PythonDynamoDB

What I built

  • Static content delivery with S3 and CloudFront, using OAC to restrict access to S3
  • An access counter using API Gateway, Lambda, and DynamoDB
  • GitHub Actions workflows for frontend delivery and Lambda updates after passing tests
  • Terraform for the whole stack (imported the existing S3, CloudFront, and backend resources) and a least-privilege Lambda execution role
  • CloudWatch alarms (Lambda errors, API 5xx) with SNS email alerts, plus a CloudWatch dashboard

Design and validation

  • Managed services to reduce server maintenance
  • Atomic DynamoDB increments to avoid overwrites from read-then-write updates
  • Four pytest and Moto tests: response format, initial value, repeated increments, and persisted data

Unit tests mock DynamoDB; they do not validate live IAM, CORS, or delivery configuration. The counter records API-triggered increments and does not represent unique visitors.

Source and architecture notesUnit testsCI/CD workflow

Skills and scope of experience

Professional · Servers and monitoring
Windows Server, VMware (~2 years). Linux, Zabbix, AWS CloudWatch Logs (current role).
Professional · Investigation and response
Incident triage using logs, configuration, and change history; escalation; writing and maintaining runbooks.
Databases
SQL Server / PostgreSQL: basic SQL queries and updates.
Personal project · AWS configuration
S3, CloudFront, API Gateway, Lambda, DynamoDB, IAM permissions, CloudWatch alarms and dashboard, SNS alerts.
Personal project · Implementation and automation
Python, GitHub Actions, Terraform, pytest, Moto.
Learning
VPC, EC2, RDS, and other design concepts for the AWS SAA exam.

Professional experience

About 2.5 years in IT

Resume (public PDF)Work history (public PDF)

System Support · In-house services company

Sep 2026 – Present

Full-time · Linux and AWS service maintenance, customer inquiries, and first-line incident response (24/7 shifts)

  • Investigate Zabbix alerts by checking Linux logs, processes, and disk usage
  • Review Lambda and API Gateway logs in CloudWatch Logs to investigate errors
  • Handle phone and email inquiries; escalate with symptoms, impact, and checks already completed
  • Record and maintain incident histories

Client-site Engineer · Industrial automation company

Apr 2024 – Jul 2026

Three months of initial training, followed by SCADA/HMI development and development-environment operations from Jul 2024 (team of 10)

  • Operated Windows Server / VMware development environments and monitored VM resources
  • Investigated incidents using event logs, application logs, configuration, and change history; performed recovery and reporting
  • Organized past incidents and documented common causes and checks to standardize troubleshooting
  • Built monitoring screens, configured communications, and verified behavior using AVEVA System Platform / InTouch HMI
  • Facilitated morning meetings and consolidated work updates when the team lead was absent

Career direction

I aim to contribute first through AWS operations, applying my experience in maintenance and incident response, then progressively take on configuration changes, automation, and infrastructure builds. My focus is evidence-based troubleshooting and clear information sharing that helps the team respond.

Qualifications and education