高级平台工程师（Golang）远程职位 - Buzzer招聘

这是一个非常典型的Go高级平台工程师职位描述，结合了云原生、微服务和体育科技的特点。从技术栈来看，这个职位需要深厚的Golang后端开发能力和云基础设施经验。

以下是几个关键点的技术实现示例：

1. 微服务架构示例（Golang + Gin）

package main

import (
    "github.com/gin-gonic/gin"
    "gorm.io/gorm"
)

type NotificationService struct {
    db *gorm.DB
    // 其他依赖如消息队列客户端等
}

func (s *NotificationService) GetLiveEvents(c *gin.Context) {
    var events []LiveEvent
    if err := s.db.Where("start_time > ?", time.Now()).
        Order("priority DESC").
        Find(&events).Error; err != nil {
        c.JSON(500, gin.H{"error": err.Error()})
        return
    }
    c.JSON(200, events)
}

func (s *NotificationService) SendPersonalizedNotification(c *gin.Context) {
    var req NotificationRequest
    if err := c.ShouldBindJSON(&req); err != nil {
        c.JSON(400, gin.H{"error": err.Error()})
        return
    }
    
    // 个性化推荐逻辑
    preferences := s.getUserPreferences(req.UserID)
    relevantEvents := s.filterEventsByPreferences(preferences)
    
    // 异步发送通知
    go s.sendToPushService(relevantEvents)
    
    c.JSON(202, gin.H{"status": "processing"})
}

2. Terraform基础设施即代码示例

# main.tf
provider "aws" {
  region = "us-east-1"
}

module "ecs_cluster" {
  source  = "terraform-aws-modules/ecs/aws"
  version = "~> 4.0"
  
  cluster_name = "buzzer-notification-service"
  
  fargate_capacity_providers = {
    FARGATE = {
      default_capacity_provider_strategy = {
        weight = 100
      }
    }
  }
}

resource "aws_dynamodb_table" "user_preferences" {
  name           = "user-preferences"
  billing_mode   = "PAY_PER_REQUEST"
  hash_key       = "user_id"
  
  attribute {
    name = "user_id"
    type = "S"
  }
  
  ttl {
    attribute_name = "expires_at"
    enabled        = true
  }
}

3. 持续集成流水线示例（GitHub Actions）

# .github/workflows/ci-cd.yml
name: CI/CD Pipeline

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

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    
    - name: Set up Go
      uses: actions/setup-go@v4
      with:
        go-version: '1.21'
    
    - name: Run tests
      run: |
        go test -v ./... -coverprofile=coverage.out
        go tool cover -func=coverage.out
    
    - name: Build
      run: go build -o notification-service ./cmd/server

  deploy:
    needs: test
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
    - uses: actions/checkout@v3
    
    - name: Configure AWS credentials
      uses: aws-actions/configure-aws-credentials@v2
      with:
        aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
        aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
        aws-region: us-east-1
    
    - name: Deploy to ECS
      run: |
        aws ecs update-service \
          --cluster buzzer-cluster \
          --service notification-service \
          --force-new-deployment

4. 推荐引擎数据管道示例

package recommendation

import (
    "context"
    "encoding/json"
    "github.com/aws/aws-sdk-go-v2/service/s3"
)

type RecommendationEngine struct {
    s3Client *s3.Client
    // ML模型客户端等
}

func (e *RecommendationEngine) ProcessUserBehavior(ctx context.Context, userID string, event Event) error {
    // 收集用户行为数据
    behaviorData := UserBehavior{
        UserID:    userID,
        EventType: event.Type,
        Timestamp: time.Now(),
        Metadata:  event.Metadata,
    }
    
    // 存储到数据湖（S3）
    data, _ := json.Marshal(behaviorData)
    _, err := e.s3Client.PutObject(ctx, &s3.PutObjectInput{
        Bucket: aws.String("buzzer-data-lake"),
        Key:    aws.String(fmt.Sprintf("user-behavior/%s/%d.json", userID, time.Now().Unix())),
        Body:   bytes.NewReader(data),
    })
    
    // 触发实时推荐计算
    go e.updateRecommendations(userID)
    
    return err
}

func (e *RecommendationEngine) updateRecommendations(userID string) {
    // 调用ML服务获取个性化推荐
    recommendations := e.mlClient.GetRecommendations(userID)
    
    // 更新Redis缓存
    e.redisClient.Set(
        context.Background(),
        fmt.Sprintf("recs:%s", userID),
        recommendations,
        10*time.Minute,
    )
}

这个职位要求的技术栈非常现代化，涵盖了从Go微服务开发到云基础设施的完整技术链。对于有经验的Go工程师来说，这是一个很好的机会，可以参与构建一个具有社会影响力的体育科技平台。