Twitter's interview process begins with resume screening, where a recruiter evaluates candidates' backgrounds relevant to the role's requirements. Following initial screening, selected applicants might face online assessments (OA) that test coding capabilities and problem-solving skills.
Candidates successfully clearing the online assessment proceed to one or two phone screening rounds focused on technical questions and coding proficiency. Those that impress during the phone interviews are invited to onsite interviews, consisting of multiple technical rounds that evaluate coding, system design, and behavioral attributes. These onsite rounds are considered quite rigorous and challenging.
At Twitter, the initial screening process starts with an automated review of your resume, focusing on relevant skills and experience. This is often followed by an Online Assessment (OA) which evaluates coding proficiency and problem-solving skills.
Candidates who pass the OA may then proceed to a preliminary screening call, typically conducted by a recruiter. This 15-20 minute conversation assesses cultural fit and communication abilities.
At Twitter, the interview process typically includes one or two phone screens. These initial calls focus on assessing technical skills through coding challenges and problem-solving questions.
The main goal is to gauge an applicant's proficiency in software fundamentals and their ability to troubly, putting emphasis on performance in contexts similar to Twitter’s dynamic tech environment.
During the onsite round at Twitter, candidates typically undergo four to six interviews. These sessions include a combination of coding, system design, and behavioral interviews, each tailored to assess both technical proficiency and cultural fit.
The interviews are usually conducted back-to-ticket> back, providing a comprehensive view of the candidate's capabilities. Coding challenges are common, focusing on algorithms and problem-solving skills, while system design questions test the ability to architect scalable systems. Behavioral questions aim to gauge teamwork and problem-solving approaches.
Post-interview at Twitter, successful candidates may undergo team matching and meetings with senior executives. This phase also involves offer negotiations, concluding the hiring process if all parties reach an agreement.
Twitter's interview process is similar to the typical coding interview but tends to focus more on easier and medium difficulty problems, particularly those involving Stacks. These problems often require managing data in a last-in, first-out manner, making them approachable and straightforward to walk through during an interview. Candidates may encounter common stack-related problems such as balancing parentheses, evaluating expressions, or implementing custom stack operations.
The coding challenges at Twitter are generally less daunting than those at FAANG companies, providing a more accessible experience for candidates. Additionally, Twitter's interview process often emphasizes problem-solving skills and the ability to write clean, efficient code.
Describe a time when you had to manage a challenging project under a tight deadline.
Tell me about a project where you implemented a new technology or framework.
Can you provide an example of a time when you had to deal with a conflict within your development team?
Describe a time when you had to work with a team to solve a complex problem. How did you ensure effective communication and collaboration throughout the project?
Can you discuss an instance where you had to help mediate a dispute within a development team?
Twitter thrives on real-time information. Can you provide an example of a project where you had to implement a feature under tight deadlines similar to the Twitter environment?
Describe a time when you had to optimize a feature for scalability on a tight deadline. How did you ensure the success of your project?
Can you provide an example of a challenging bug you encountered in your past projects and how you managed to resolve it?
Twitter highly values user experience and rapid feature deployment. How would you handle a situation where pushing a new feature could potentially compromise user experience?