多間軟體工程師面試精華整理(華城電機/FundPark/Infini Capital/Wonderland...)｜面試經驗分享

無論你正面臨面試挑戰，或是在職場中努力站穩腳步，這裡整理了實用經驗與建議，協助你釐清方向、提升應對力，並在每個職涯轉折點做出更明智的選擇。

文章目錄

Interviews

多間軟體工程師面試精華整理(華城電機/FundPark/Infini Capital/Wonderland...)
▲多間軟體工程師面試分享，圖片來源: freepik

文/洪健翔 Hung, Chien-hsiang

Interviews

Fortune Electric — Software Engineer — TW

Software Engineer | 華城電機股份有限公司 Fortune Electric | LinkedIn

2023–02–15 Phone Call Screen with HR
將成立的新事業體，會由外籍主管帶領台籍工程師團隊，約下周線上面試，與該外籍主管與一名顧問。
告知職位為FullStack Engineer
2023–02–21 Virtual Interview with Team Lead and a consultant
Some intro about the new department and development. (Battery mgmt.)
React experience
Linux, OS
sse and websocket (WebSockets are bidirectional. SSEs are mono-directional.)
Rust (security reason)
The Lead is young and friendly, experienced at assembly, linux.

FundPark — Software Engineer — HK

2023–02–06 Virtual Interview Invitation
2023–02–13 Email Reminder
I have to said the HR is so kind to remind/double-check if there is any problem on my side of scheduling time slots for the meeting. I would have lost the email in the Spam and missed the oppotunity of the interview.
2023–02–14 Online Interview with HR
Talked about the exprience:
Why do you leave the current company
Why do you want to work in HK
What are challanges you’ve faced in previous projects
Any thing to improve either on soft-skill or hard-skill
What are you bad at

推薦文章>>軟體工程師求職懶人包攻略：刷題技巧與面試準備技巧

Infini Capital — Infrastructure Developer (DevOps) — HK/TW

2023–02–15 線上面試(一位hr兩位IT主管分別在台灣與香港，聽起來兩位主管都是台灣人)
Infrastructure Developer (DevOps) | Infini Capital | LinkedIn
Hedge Fund, 處理交易資料、協助RPA，CI/CD
面試時間大約一小時，問題涵蓋:
對DevOps的了解
API Scaling
維護資料庫經驗 (大型資料庫)，如何改善效率
Design Pattern
Linux, Shell script
SQL熟悉程度
Azure管理狀況
經驗很好也深刻體會到自己的不足
在聽到我對design pattern不熟後，其中一位還說他能理解因為我不是本科系(但這是我的不對，面試後馬上補上)，詢問問題也都耐心回答，指引方向
兩位主管很專業也很親切，這場面試不管有沒有上都得到很多資訊(解釋DevOps等)，會讓人結束後細細品味很想待在兩位團隊底下做事磨練

Wonderland — Technical Application Engineer — TW/CH

Technical Application Engineer | Wonderland Group | LinkedIn

2023–02–14 人資電話訪談
大概介紹公司在做什麼(嬰兒用品)，工廠在哪(東莞?)，規模多大等等。主要使用語言JAVA，做PLM生產管理系統導入，配合工廠克制需求。軟體跟外部購買，聽起來是幫廠商根顧問溝通跟作客改，不是純開發。
如何快速上手JAVA、有興趣?、對生產管理系統的了解
2023–02–17 用人主管線上面試
主管很親切，大概介紹工作內容，問能不能外派，主要希望熟悉Java
結束後人諮詢問期望待遇，有超過一百

HuntByte — Back End Debeloper — TW

Back End Developer | HuntByte | LinkedIn

2023–02–14 開發兼人資電訪
完全新創，第一版產品三月會上線，目前公司兩個後端一個前端，全公司八名成員。
聊聊為什麼想換工作，完全開發網頁目前認為有什麼部分(技能)是欠缺的嗎?
2023–02–17 辦公室面試，與兩位founder和一位cto
辦公室在台北行天宮附近
面試主要問過去經驗，為什麼想離職，有沒有考慮其他工作，遠端工作?
CTO會深入問過去工作用到的技術，對前後端、網頁的能力，unit test? 前後端框架 API、資料庫經驗

CTW — Backend Engineer-Python — JP

Senior Backend Engineer- Python｜CTW株式会社｜日本－人力銀行

Backend Engineer-Python｜CTW株式会社｜日本－人力銀行

2022–10–24 Applied
2022–10–26 Web-test Invitation Received
2022–10–26 HR Resume Screening & Web Test
HackerRank 2 Python 1 SQL

Generator (Check Out My Sharing)
SQL
Interact w/ API

2022–10–27 HR Interview Invitation and Arrangment
Rmb to prepare some Qs to ask
2022–11–04 HR Interview — Video Call
[中文面試] Recruiter是才任職三個月的中國人
閒聊。被告知如果進下一階段，Tech Interview會有2 rounds，然後才是CTO/CEO Interview
目前IT部門有30人，去年還只有15人，預計全公司擴展至300人
被問為什麼會想投CTW，說是因為看到公司過了幾輪募資快速發展，但其實好像跟其他公司搞混了xd
Some Interview Info
CTW株式会社面試心得 | 面試趣 (interview.tw)
日本互联网公司巡礼12 — 快速成长的游戏平台 CTW — 知乎 (zhihu.com)
双向奔赴东京游戏公司CTW，关于日语、工作签和面试 — 知乎 (zhihu.com)
CTW株式会社 — 搜索结果 — 知乎 (zhihu.com)
CTW.inc是一家怎样的公司？ — 要从中国国内招人啦 — 知乎 (zhihu.com)
建议你不要浪费时间面试一家叫 CTW 的公司 — 知乎 (zhihu.com)
ctw株式会社在国内的求职候选人建议不要浪费时间 — 知乎 (zhihu.com)
日本东京互联网IT就职调研 — 知乎 (zhihu.com)

Synpulse — Banking Technology Consultant — HK

Career | Synpulse (csod.com)

Reached out by Meg Milagrosa from Talent Acquisition Team on LinkedIn

2022–10–25 HR Team Reached Out
2022–10–27 Replied w/ My CV and Arranged A Phone Call
2022–10–28 Phone Screen & Arranged The Next Round Interview
[Interview Process]

Hiring Manager Interview (Virtual)
Case Study (Virtual) (1hr pre-study, 1hr presentation)
Head Interview

2022–11–04 1st Round Virtual Interview w/ Hiring Manager
Only discovered the 1st Round Interview was actually interviewing with a Consultant in half an hour to the interview lol
Related Preparation Materials
The interview went smooth I think
2022–11–07 2nd Round Interview Invitation with Associate Partner (Case Study)
Prepare for the Interview Process of…

One hr study for a given case prior to the presentation
Give a speach
Behavioral Questions

Preparations
2022–11–11 2nd Round Interview w/ AP (Case Study)
Anticipated process:
1 hr case study (prior to the call) -> 10 mins presentation -> 50 mins QA
The material I used to prepare before the interview (Mock Technology Consulting Case Interview (Case Study): Architecture Strategy) that you can use.
Real Process: TL;DW (my draft ppt based on given question, made 1 hr prior to the interview)

Pinkoi — Backend Engineer — Buyer Engagement Squad — TW

Backend Engineer — Buyer Engagement Squad｜Pinkoi_香港商果翼科技｜台北市－人力銀行

2022–10–24 Applied
2022–10–25 Asked for Assignment
2022–10–27 Coderbyte
Codebyte 2 Python 1 SQL

math — fibonacci
searching
sql query

It’s much easier than the CTW one
2022–11–03 Online Interview w/ an Engineer Lead and a Backend Engineer 2–2.5hrs
Preparation Materials:
Processes and Threads | Operating System
What Happens When You Click a Link? URL/ HTTP/ Domain Name/ DNS/ IP Address
API call — implement retry mechanism into python requests library / try-except using Python requests module
TCP/IP | Backend 101
More on What I’ve Prepared
More on Others’ Successful Interview Sharing
Interview Experience:
與兩位工程師中文線上面試

針對履歷問題提問，現職工作內容?
會開Markdown共享，針對前次網測答券 - 三題題目依次討論，然後加考一題白板題

第一題我的答案

def MathChallenge(num):
f0, f1 = 0, 1

while f0 < num:
if num in [f0, f1]:
return 'yes'
f0, f1 = f1, f0+f1
return 'no'

針對第五行
if num in [f0, f1]:
請問[f0, f1]還能夠用什麼資料結構來代替
再問，若[f0, f1]改成(f0, f1), {f0, f1}，效能有差嗎，誰比較快
回答

if num in [f0, f1]:
if num in (f0, f1):
if num in {f0, f1}:

三個都是O(n)，但實際運行好像有看過文章說tuple比list快，不確定
面試官很肯定地說tuple最快，說之前應為這個更改，順利提升內部程式運行速度
後來自己用電腦測試，實際上並沒有什麼差別…
測試結果放在這邊，如果大家有什麼不一樣的看法也歡迎留下意見，不確定是自己測試錯誤還是對方誤導

import time
from tqdm import tqdm

time_for_assing = []
time_for_not_ass = []
time_for_tuple = []
n = 250000

for _ in tqdm(range(100)):
    # assign
    start = time.time()
    a = ('a '*n).split()
    for _ in a:
        pass
    time_for_assing.append(time.time()-start)

    # no assign
    start = time.time()
    for _ in ('a '*n).split():
        pass
    time_for_not_ass.append(time.time()-start)

    # tuple
    start = time.time()
    for _ in tuple(('a '*n).split()):
        pass
    time_for_tuple.append(time.time()-start)

print('assigning test Starts...')
print(f'avg time_for_assing: {sum(time_for_assing)/len(time_for_assing)}')
print(f'avg time_for_not_ass: {sum(time_for_not_ass)/len(time_for_not_ass)}')
print(f'avg time_for_tuple: {sum(time_for_tuple)/len(time_for_tuple)}')
print('assigning test Ends...\n')

# purely test the difference btw list and tuple
time_for_t = []
time_for_l = []
n = 100000

for _ in tqdm(range(1000#求職技巧#面試攻略

多間軟體工程師面試精華整理(華城電機/FundPark/Infini Capital/Wonderland...)｜面試經驗分享

Interviews