LinkedIn's interview process initiates with a resume screening to ensure candidates' backgrounds align with the job requirements. Those who advance typically face an Online Assessment (OA) comprising coding challenges and technical questions. This phase rigorously tests algorithmic skills and problem-solving capabilities, setting the stage for further evaluation.
Following the OA, candidates undergo one or two phone screens with a focus on technical skills and cultural fit, assessing both coding proficiency and the ability to mesh with LinkedIn's core values. Successful candidates are then invited to the onsite rounds, which usually include multiple technical interviews and a system design assessment. These rounds are known for their difficulty and depth, aimed at thoroughly vetting the candidate's capabilities across various dimensions of software engineering.
LinkedIn's initial resume screening emphasizes skilled endorsements and a clear demonstration of past project impacts. Resumes are parsed by algorithms that seek specific keywords related to the job role.
Applicants who meet criteria undergo online assessments (OAs), testing coding aptitude and problem-solving skills. Top performers are then invited for preliminary screening calls, which assess cultural fit and communication abilities.
At LinkedIn, the interview process typically begins with one or two phone screens. These initial calls focus on assessing the candidate's technical skills and problem-solving abilities, often involving coding exercises or algorithmic questions to solve in real-time.
The phone screen is crucial as it determines whether the applicant progresses to the onsite interviews. It's a chance to showcase not only technical expertise but also communication skills and cultural fit for the LinkedIn environment.
LinkedIn's onsite interview process typically consists of four to six interviews, each focusing on different areas such as coding, system design, and behavioral skills. These sessions are usually conducted back-to-back and can last an entire day.
During the onsite interviews, candidates will face two coding rounds that test their problem-solving abilities using algorithms and data structures, one or two system design rounds focusing on their capability to design scalable systems, and at least one behavioral interview to assess cultural fit and soft skills.
After completing the interview rounds at LinkedIn, candidates may undergo team matching and discussions with executives. Final steps include negotiating the job offer and reviewing company policies before onboarding.
In preparation for the LinkedIn inteview, it’s crucial to prioritize depth-first and breadth-first search techniques respectively. Basic data structures and binary search often form the foundation of coding assessments with very feasible difficulty levels. What sets LinkedIn apart is the relatively higher emphasis on breadth-first search, which could signal the value they place on algorithmic efficiency and scalability in real-world scenarios.
At LinkedIn, the coding interview problems are moderately challenging but not quite at the level of Google or Apple. Candidates frequently face questions that focus on Graph traversal and Binary Search. While the problems are demanding, they are typically more approachable than those at the top-tier of FAANG companies, offering a good mix of complexity and solvability.
Describe a time when you had to learn a new technology to complete a project.
Tell me about a time when you disagreed with a decision that was made at work.
Can you provide an example of a project where you had to manage multiple deadlines?
Describe a time when you had to collaborate with a team on a challenging project. What was the project and what role did you play in the team?
Tell me about a moment when you helped resolve a dispute among team members. How did you handle it?
LinkedIn values transformation through collaboration. Can you share an experience where teamwork led to an innovative solution at a previous job?
Describe a time when you had to use your programming skills to solve a problem that had no clear solution.
How do you ensure the quality and reliability of your code?
LinkedIn values transformation and creating economic opportunity. Can you talk about a project or initiative you've undertaken that aligns with LinkedIn's vision?