Golang软件工程师职位分享 - Risk Ledger（伦敦）工作体验

作为使用Go语言开发后端系统的工程师，在Risk Ledger这样的网络安全初创公司工作确实是个很好的机会。以下是我对职位技术要求的分析：

Go语言后端开发 在供应链安全平台中，Go的并发特性和高性能非常适合处理大量安全数据。例如：

package main

import (
    "context"
    "encoding/json"
    "log"
    "net/http"
    "time"
    
    "github.com/gorilla/mux"
)

type SecurityAssessment struct {
    ID        string    `json:"id"`
    VendorID  string    `json:"vendor_id"`
    Score     int       `json:"security_score"`
    Timestamp time.Time `json:"timestamp"`
}

type AssessmentHandler struct {
    storage Storage
}

func (h *AssessmentHandler) CreateAssessment(w http.ResponseWriter, r *http.Request) {
    var assessment SecurityAssessment
    if err := json.NewDecoder(r.Body).Decode(&assessment); err != nil {
        http.Error(w, "Invalid input", http.StatusBadRequest)
        return
    }
    
    assessment.Timestamp = time.Now()
    if err := h.storage.Save(r.Context(), &assessment); err != nil {
        http.Error(w, "Storage error", http.StatusInternalServerError)
        return
    }
    
    w.Header().Set("Content-Type", "application/json")
    json.NewEncoder(w).Encode(assessment)
}

func main() {
    router := mux.NewRouter()
    handler := &AssessmentHandler{storage: NewMemoryStorage()}
    
    router.HandleFunc("/assessments", handler.CreateAssessment).Methods("POST")
    
    log.Println("Server starting on :8080")
    log.Fatal(http.ListenAndServe(":8080", router))
}

自动化测试实践 在安全关键系统中，测试至关重要：

func TestSecurityAssessment(t *testing.T) {
    handler := &AssessmentHandler{storage: NewMockStorage()}
    
    assessment := SecurityAssessment{
        VendorID: "vendor-123",
        Score:    85,
    }
    
    reqBody, _ := json.Marshal(assessment)
    req, _ := http.NewRequest("POST", "/assessments", bytes.NewBuffer(reqBody))
    rr := httptest.NewRecorder()
    
    handler.CreateAssessment(rr, req)
    
    if status := rr.Code; status != http.StatusOK {
        t.Errorf("Expected status 200, got %d", status)
    }
    
    var response SecurityAssessment
    json.Unmarshal(rr.Body.Bytes(), &response)
    
    if response.VendorID != assessment.VendorID {
        t.Errorf("Vendor ID mismatch")
    }
}

全栈协作模式 虽然主要使用Go，但与Vue.js前端的集成也很重要：

// API端点提供前端所需数据
func (h *AssessmentHandler) GetVendorAssessments(w http.ResponseWriter, r *http.Request) {
    vars := mux.Vars(r)
    vendorID := vars["vendorId"]
    
    assessments, err := h.storage.GetByVendor(r.Context(), vendorID)
    if err != nil {
        http.Error(w, "Not found", http.StatusNotFound)
        return
    }
    
    w.Header().Set("Content-Type", "application/json")
    json.NewEncoder(w).Encode(assessments)
}

// CORS中间件支持前后端分离架构
func CORSMiddleware(next http.Handler) http.Handler {
    return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        w.Header().Set("Access-Control-Allow-Origin", "*")
        w.Header().Set("Access-Control-Allow-Methods", "GET, POST, PUT, DELETE")
        w.Header().Set("Access-Control-Allow-Headers", "Content-Type")
        
        if r.Method == "OPTIONS" {
            return
        }
        
        next.ServeHTTP(w, r)
    })
}

基础设施考量 考虑到平台的扩展需求：

type MetricsCollector struct {
    assessmentsProcessed prometheus.Counter
    processingTime       prometheus.Histogram
}

func (m *MetricsCollector) RecordAssessment(score int, duration time.Duration) {
    m.assessmentsProcessed.Inc()
    m.processingTime.Observe(duration.Seconds())
}

// 使用context处理请求超时
func (h *AssessmentHandler) ProcessBatch(ctx context.Context, assessments []SecurityAssessment) error {
    ctx, cancel := context.WithTimeout(ctx, 30*time.Second)
    defer cancel()
    
    for _, assessment := range assessments {
        select {
        case <-ctx.Done():
            return ctx.Err()
        default:
            if err := h.storage.Save(ctx, &assessment); err != nil {
                return err
            }
        }
    }
    return nil
}

这个职位对Go开发者的要求很典型：需要构建可靠的后端系统，同时理解全栈开发流程。在供应链安全领域，代码质量和系统可靠性尤为重要，因为处理的是企业的核心安全数据。