Golang平台工程师职位 - 支持100%远程工作 - Buzzer招聘

这是一个非常典型的Go语言平台工程师职位，要求候选人具备构建和维护可扩展后端系统及云基础设施的能力。从技术栈来看，Go是核心语言，结合AWS云服务和微服务架构。

以下是一个符合该职位描述的Go语言微服务示例，展示了如何构建一个处理体育赛事通知的后端服务：

package main

import (
    "context"
    "encoding/json"
    "fmt"
    "log"
    "net/http"
    "time"

    "github.com/aws/aws-sdk-go/aws"
    "github.com/aws/aws-sdk-go/aws/session"
    "github.com/aws/aws-sdk-go/service/dynamodb"
    "github.com/aws/aws-sdk-go/service/dynamodb/dynamodbattribute"
    "github.com/go-redis/redis/v8"
    "github.com/gorilla/mux"
)

// 体育赛事数据结构
type SportEvent struct {
    ID          string    `json:"id" dynamodbav:"id"`
    League      string    `json:"league" dynamodbav:"league"`
    Match       string    `json:"match" dynamodbav:"match"`
    StartTime   time.Time `json:"start_time" dynamodbav:"start_time"`
    IsLive      bool      `json:"is_live" dynamodbav:"is_live"`
    HighlightID string    `json:"highlight_id" dynamodbav:"highlight_id"`
}

// 用户偏好设置
type UserPreference struct {
    UserID      string   `json:"user_id" dynamodbav:"user_id"`
    FavoriteLeagues []string `json:"favorite_leagues" dynamodbav:"favorite_leagues"`
    NotifyBefore int     `json:"notify_before" dynamodbav:"notify_before"` // 提前通知的分钟数
}

// 数据库客户端
var (
    dynamoClient *dynamodb.DynamoDB
    redisClient  *redis.Client
    ctx          = context.Background()
)

func init() {
    // 初始化AWS会话
    sess := session.Must(session.NewSession(&aws.Config{
        Region: aws.String("us-east-1"),
    }))
    dynamoClient = dynamodb.New(sess)

    // 初始化Redis客户端
    redisClient = redis.NewClient(&redis.Options{
        Addr:     "localhost:6379",
        Password: "",
        DB:       0,
    })
}

// 获取即将开始的赛事
func GetUpcomingEvents(w http.ResponseWriter, r *http.Request) {
    // 从Redis缓存获取
    cacheKey := "upcoming_events"
    cached, err := redisClient.Get(ctx, cacheKey).Result()
    if err == nil {
        w.Header().Set("Content-Type", "application/json")
        w.Write([]byte(cached))
        return
    }

    // 从DynamoDB查询
    input := &dynamodb.ScanInput{
        TableName: aws.String("SportEvents"),
        FilterExpression: aws.String("is_live = :live AND start_time > :now"),
        ExpressionAttributeValues: map[string]*dynamodb.AttributeValue{
            ":live": {BOOL: aws.Bool(false)},
            ":now":  {S: aws.String(time.Now().Format(time.RFC3339))},
        },
    }

    result, err := dynamoClient.Scan(input)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }

    var events []SportEvent
    err = dynamodbattribute.UnmarshalListOfMaps(result.Items, &events)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }

    // 序列化并缓存结果
    jsonData, _ := json.Marshal(events)
    redisClient.Set(ctx, cacheKey, jsonData, 5*time.Minute)

    w.Header().Set("Content-Type", "application/json")
    w.Write(jsonData)
}

// 根据用户偏好筛选赛事
func GetPersonalizedEvents(w http.ResponseWriter, r *http.Request) {
    vars := mux.Vars(r)
    userID := vars["userID"]

    // 获取用户偏好
    prefInput := &dynamodb.GetItemInput{
        TableName: aws.String("UserPreferences"),
        Key: map[string]*dynamodb.AttributeValue{
            "user_id": {S: aws.String(userID)},
        },
    }

    prefResult, err := dynamoClient.GetItem(prefInput)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }

    var preference UserPreference
    err = dynamodbattribute.UnmarshalMap(prefResult.Item, &preference)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }

    // 查询符合用户偏好的赛事
    input := &dynamodb.ScanInput{
        TableName: aws.String("SportEvents"),
        FilterExpression: aws.String("is_live = :live AND start_time BETWEEN :now AND :future AND contains(league, :league)"),
        ExpressionAttributeValues: map[string]*dynamodb.AttributeValue{
            ":live":   {BOOL: aws.Bool(false)},
            ":now":    {S: aws.String(time.Now().Format(time.RFC3339))},
            ":future": {S: aws.String(time.Now().Add(24 * time.Hour).Format(time.RFC3339))},
            ":league": {SS: aws.StringSlice(preference.FavoriteLeagues)},
        },
    }

    result, err := dynamoClient.Scan(input)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }

    var events []SportEvent
    err = dynamodbattribute.UnmarshalListOfMaps(result.Items, &events)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }

    jsonData, _ := json.Marshal(events)
    w.Header().Set("Content-Type", "application/json")
    w.Write(jsonData)
}

// 发送通知的Worker
func NotificationWorker() {
    ticker := time.NewTicker(1 * time.Minute)
    defer ticker.Stop()

    for {
        select {
        case <-ticker.C:
            // 查询需要发送通知的赛事
            now := time.Now()
            future := now.Add(30 * time.Minute)

            input := &dynamodb.ScanInput{
                TableName: aws.String("SportEvents"),
                FilterExpression: aws.String("is_live = :live AND start_time BETWEEN :now AND :future"),
                ExpressionAttributeValues: map[string]*dynamodb.AttributeValue{
                    ":live":   {BOOL: aws.Bool(false)},
                    ":now":    {S: aws.String(now.Format(time.RFC3339))},
                    ":future": {S: aws.String(future.Format(time.RFC3339))},
                },
            }

            result, err := dynamoClient.Scan(input)
            if err != nil {
                log.Printf("查询赛事失败: %v", err)
                continue
            }

            var events []SportEvent
            dynamodbattribute.UnmarshalListOfMaps(result.Items, &events)

            // 为每个赛事发送通知
            for _, event := range events {
                SendNotification(event)
            }
        }
    }
}

func SendNotification(event SportEvent) {
    // 实现推送通知逻辑
    log.Printf("发送通知: %s - %s 即将开始", event.League, event.Match)
}

func main() {
    r := mux.NewRouter()

    // API路由
    r.HandleFunc("/api/events/upcoming", GetUpcomingEvents).Methods("GET")
    r.HandleFunc("/api/events/personalized/{userID}", GetPersonalizedEvents).Methods("GET")

    // 启动通知Worker
    go NotificationWorker()

    // 启动HTTP服务器
    log.Println("服务器启动在 :8080")
    log.Fatal(http.ListenAndServe(":8080", r))
}

这个示例展示了：

1. 使用Go标准库和流行框架（gorilla/mux）构建RESTful API
2. 集成AWS DynamoDB进行数据存储
3. 使用Redis作为缓存层提高性能
4. 实现后台Worker处理定时通知任务
5. 符合微服务架构模式

对于CI/CD部分，以下是一个简单的GitHub Actions工作流配置：

name: Go CI/CD Pipeline

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2
    
    - name: Set up Go
      uses: actions/setup-go@v2
      with:
        go-version: 1.19
    
    - name: Run tests
      run: go test ./... -v -cover

  build:
    needs: test
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2
    
    - name: Set up Go
      uses: actions/setup-go@v2
      with:
        go-version: 1.19
    
    - name: Build
      run: go build -v ./...
    
    - name: Docker build
      run: docker build -t buzzer-service:latest .

  deploy:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
    - name: Deploy to AWS ECS
      run: |
        # Terraform部署脚本
        terraform init
        terraform apply -auto-approve

这个职位要求的技术栈与当前Go语言生态系统的标准实践高度一致，特别是在云原生和微服务领域。候选人需要展示在AWS环境中使用Go构建可扩展系统的实际经验。