Recently, several of our students completed eBay Software Engineer / Data OAs. As a team that has been supporting eBay OA candidates for a long time, we immediately conducted a comprehensive review to systematically organize the process, question types, and pitfalls for students preparing for eBay or similar top tech OAs.
Overall, eBay's OA style is very typical:
- Does not pursue "fancy algorithms"
- But requires solid fundamentals, code robustness, and business understanding
- Belongs to the category of "looks easy, but easy to mess up"
eBay OA Process Overview
Based on student feedback, most eBay tech OAs share these characteristics:
| Dimension | Description |
|---|---|
| Platform | HackerRank / CodeSignal (Varies slightly by role) |
| Quantity | Usually 2 coding questions; some roles add SQL/Data questions |
| Duration | 60 – 90 minutes |
| Language | Python / Java / C++ / JavaScript available |
| Complexity | Important, but "reasonable and stable" is more important |
Summary: The core of eBay OA is not "do you know the optimal solution", but "do you code like a production engineer".
eBay OA Real Question Examples
The following are examples of real question types that have appeared in eBay OAs. The questions themselves are not extremely difficult, but they emphasize rule comprehension, code stability, and detail handling.
Question 1: Array Segment Subtraction Simulation (Simulation + Greedy)
Core Problem Description
You are given
numbers, an array of non-negative integers. Repeatedly find the leftmost non-zero elementx, subtractxfrom consecutive elements to the right until subtraction is no longer possible, and addxto the final result. Return the total accumulated sum.
Key Points
- Patience and accuracy in simulation problems
- Strict understanding of "leftmost non-zero" and "stopping conditions"
- Correctly handling multiple iterations and array state changes
Python Reference Idea
def solve(numbers: list[int]) -> int:
result = 0
while True:
# Find leftmost non-zero
start = -1
for i, v in enumerate(numbers):
if v > 0:
start = i
break
if start == -1:
break
x = numbers[start]
result += x
# Subtract x consecutively from start
for j in range(start, len(numbers)):
if numbers[j] >= x:
numbers[j] -= x
else:
break
return result
Question 2: Case Count Difference (String Traversal)
Core Problem Description
Given a string consisting of uppercase and lowercase English letters, return the difference between the number of uppercase and lowercase letters.
Key Points
- Basic string traversal
- Familiarity with character ranges / ASCII / built-in functions
- Writing clear, readable, unambiguous implementation
Python Reference Implementation
def case_diff(s: str) -> int:
upper = sum(1 for c in s if c.isupper())
lower = sum(1 for c in s if c.islower())
return upper - lower
Question 3: Binary State + Operation Simulation (State Machine)
Core Problem Description
You are given a binary array
stateand a list of operations:
"L": set the smallest index with value0to1"C(index)": setstate[index] = 0Return the final state as a binary string.
Key Points
- Accuracy of state updates
- Ability to parse operation instructions
- Stable handling of "no-op" cases
Python Reference Implementation
import re
def process_ops(state: list[int], operations: list[str]) -> str:
for op in operations:
if op == "L":
for i in range(len(state)):
if state[i] == 0:
state[i] = 1
break
elif op.startswith("C("):
match = re.match(r"C\((\d+)\)", op)
if match:
idx = int(match.group(1))
if 0 <= idx < len(state):
state[idx] = 0
return ''.join(map(str, state))
eBay OA FAQ (Mentor Q&A)
Q1: Is eBay OA difficult?
A: Not hard, but very "detail-oriented". It tests complete understanding of the problem and rigorous boundary conditions.
Q2: Is optimal solution (O(n) / O(log n)) required?
A: Not mandatory, but you must be able to "explain it". Usually O(n) or O(n log n) is sufficient. Brute force without complexity awareness will be penalized.
Q3: Will a small bug fail the OA?
A: Depends. Fatal logic errors are high risk. Small boundary errors might still allow passing to the next round, but tolerance is low.
Need OA Support?
Our OA support focuses on:
- Rapid breakdown of questions and key points
- Stable, runnable, logic-tight implementation solutions
- Zero impact on accounts, devices, and subsequent interview processes
eBay truly differentiates candidates in the technical interviews and system discussions that follow, not the OA itself.
Need real interview questions? Contact WeChat Coding0201 immediately to get real questions.