LinkedIn Software Engineer Interview Guide

The short answer: LinkedIn's How We Hire page lists four steps: application, conversation, interview and decision. A recruiter runs the first call, a video call with the hiring manager or a team member covers your experience and technical skills, and in the interview stage each interviewer focuses on a different skill area. LinkedIn says its engineering interviews assess communication, coding, craftsmanship, design and architecture, or leadership. Candidate reports describe an onsite of two coding rounds, system design, a deep dive on a past project and a behavioral round, then a hiring committee and team matching. Last reviewed October 2026.

LinkedIn software engineer interview: quick answers

The LinkedIn software engineer role

What LinkedIn engineers work on, the skills its job postings ask for, and what a normal week looks like.

LinkedIn software engineer levels and pay

Your level sets the bar you are interviewed against and the pay band of the offer.

LinkedIn does not print level codes in its software engineer postings, so the table uses posting titles. Third-party salary data places new grads at the Software Engineer title. No current US posting is titled new grad or entry level.

Pay in LinkedIn's US job postings

LinkedIn's US postings print a base pay range and say total compensation may also include an annual performance bonus, stock, benefits and other incentive plans.

Rows use posting titles because LinkedIn postings state no level codes. Bands differ by team at the same title: Staff ranges run from $156K to $255K on Identity and KMS teams up to $175K to $287K on Systems, Compute and AI Platform. Ranges seen October 27, 2026.

LinkedIn software engineer interview process

LinkedIn's How We Hire page gives four official steps. The detail below on the software engineer rounds, the second recruiter call and the hiring committee comes from candidate reports.

Based on LinkedIn's own pages and candidate reports.

LinkedIn says the decision can take several weeks. Candidate reports say each onsite round is scored on a 4-point scale where 3 is a pass, borderline totals can lead to an extra interview, and passing results stay valid for a year if no team match happens right away. Last reviewed October 2026.

What is different at LinkedIn

• A project deep dive with no coding. Candidate reports describe a technical communication round where you explain the architecture, decisions and impact of a past project. This lines up with LinkedIn listing communication as an assessed skill.
• Team matching after the onsite. Candidate reports describe a central loop: you are not interviewing for one team, and hiring managers pitch teams once the hiring committee approves you.
• Craftsmanship is a named skill. LinkedIn lists it next to coding, design and leadership, so code quality counts beyond getting the right answer.
• A written AI rule. LinkedIn publishes a candidate AI page: AI is not allowed in live interviews unless the recruiter announced it in advance, and the recruiter explains what is allowed and how it is assessed when it is.
• A hiring committee has the final say. Candidate reports say it can reject a borderline loop even after the recruiter relayed positive feedback.
• Product-centric design prompts. Candidate guides report system design questions such as a news feed or a notification system.

LinkedIn software engineer interview questions

Coding problems from our bank tagged to LinkedIn, then design, fundamentals and behavioral prompts we wrote for this guide.

1from typing import List, Tuple
2
3def connection_degrees(connections: List[Tuple[int, int]], source: int, targets: List[int],
4                       max_degree: int = 3) -> List[int]:
5    """Return the connection degree of each target from source, or -1 beyond max_degree."""
6    pass

1from collections import defaultdict, deque
2from typing import List, Tuple
3
4def connection_degrees(connections: List[Tuple[int, int]], source: int, targets: List[int],
5                       max_degree: int = 3) -> List[int]:
6    graph = defaultdict(set)
7    for a, b in connections:
8        if a != b:
9            graph[a].add(b)
10            graph[b].add(a)
11    depth = {source: 0}
12    queue = deque([source])
13    # Breadth-first search, stopping once members at max_degree are reached.
14    while queue:
15        member = queue.popleft()
16        if depth[member] == max_degree:
17            continue
18        for other in graph[member]:
19            if other not in depth:
20                depth[other] = depth[member] + 1
21                queue.append(other)
22    return [depth.get(t, -1) for t in targets]
23
24# Complexity: O(V + E) time for the members and connections within max_degree hops, O(V + E) space.

How to prepare

A plan for the LinkedIn loop, most important first:

1. Practice data structures and algorithms at a steady pace: candidate reports describe 2 or 3 questions in the phone screen and two onsite coding rounds.
2. Prepare one past project for the technical communication round, with the architecture, your decisions, the trade-offs and the measured impact.
3. Practice product-centric system design such as a feed, notifications and a feature-flag ramp service.
4. Write clean, tested code in practice sessions, since LinkedIn names craftsmanship as an assessed skill.
5. Prepare behavioral stories that show communication and leadership, and a specific answer to why LinkedIn.
6. Read LinkedIn's AI page, keep AI out of live interviews unless your recruiter says otherwise, and use it for mock interviews while preparing.

Practice path

Courses that cover the rounds above:

• Data Structures and Algorithms
• System Design
• SQL