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Top tips to prepare for software engineering interviews

Top tips to prepare for software engineering interviews

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Pathrise
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September 18, 2019
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5 min read
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This is a blog is a guest contribution from Pathrise.com


When you are looking for a job as an engineer, whether it is your first job out of school or a new role after years in the industry (or something in between!), interviewing is a hurdle you will have to overcome.

Unfortunately, a lot of the job search, especially when it comes to interviewing, is shrouded in mystery.

At Pathrise, we have worked with hundreds of software engineers on their job search so we can help uncover some of the more mysterious elements and give candidates a better sense of what to expect. A lot of our work with job-seekers focuses on helping them prepare for both technical and behavioral interviews, so we wanted to share our top tips.

  1. Start by researching the company

    This is an extremely important step in the interview prep process and is often not taken seriously. While applying for big companies such as Google, Facebook, and Apple, candidates often think that they do not need to do research because they are already familiar with the product.

    That is not true. You need to walk into your interviews with knowledge about the company’s mission, values, and goals. You can do this by going to the company’s website and reading the About Us section.

    Researching the culture of a company is also crucial. You should talk about the culture and values of an organization during your interview so that recruiters see you as an ideal fit. For example, if you are interviewing at Facebook, start with their company page to learn more about their mission and history. Next, take a look at the Facebook Life page to understand the company’s culture and values, read testimonials from employees, and more. Finally, you can look at the company’s Diversity page to learn about their commitment to diversity in the workplace.

    Why is this important? In your behavioral interviews, you will likely be asked directly about their mission and possibly about their values. Even when you are not directly asked, you should be adding information about how their values match your own in your responses. For example, “In my internship as a Community Manager at Twitter, I worked to make sure that the content was appropriate for everyone. This helped me recognize the importance of doing work that has an impact, which I know is a value here at Facebook. It is something I want to continue doing as part of my full-time position.”

    You should also spend some time researching the company’s products and areas of work of the company you are interviewing with so that you know what to expect if you are selected.

    Citing an example from Facebook again—the company has a variety of products and teams listed on their Areas of Work page, giving you the opportunity to learn what they are working on, the languages and programs they use, and how you can contribute, even if this is your first attempt at a software engineering job. Top tips for interview, Interview tips, coding interview tips, leetcode, hackerearth, cracking the coding interview, interview

    If this seems to be too time-consuming, we have created 200+ interviewing insider company guides that you can use to learn about the mission, values, hiring processes, interview questions, demographics, and more of top tech companies around the world.

  2. Practice for both technical and behavioral interviews

    Before attending an interview, it is imperative to analyze the types of questions you will most likely be asked and practice them. There are a lot of resources available for software engineers to help them prepare for technical interviews. We’ve compiled a list of 90+ technical questions from real tech companies, which can be a good place to start. Also, we created a step-by-step guide to solving a classic software engineering interview question asked at Google and many other tech companies. Furthermore, you can use platforms such as HackerEarth to practice technical questions.

    Besides technical interviews, there are also behavioral interviews. The goal of these sessions is to discover how you act in specific situations and if you are a good fit for the company culture. People often forget to prepare for these behavioral interviews, but they are just as important as the technical sessions.

    The best way to practice is to write down answers to real behavioral questions and say them out loud in front of a mirror or to a friend. You don’t want to memorize or sound rehearsed, but getting yourself into the practice of saying these will help you feel more comfortable when you are asked the question.

    Anxiety often arises when people don’t know what is going to happen. Understanding the structure of a behavioral interview will help reduce anxiety during an interview.

    • Introduce yourself

    The first part of these interviews is always an introduction, so it is important to have your elevator pitch ready. It should be no longer than 2-5 minutes. You can talk about your education, experience, projects, and conclude with a summary of yourself as a candidate and a response to the most common question, “Why this company?”

    • Resume deep dive

    The interviewer will review your resume with you and ask you questions about your previous positions, projects, and education. Be truthful.

    • Specific questions

    Interviewers will ask questions about specific situations (“Have you ever had a conflict with a coworker?”) as well as to test your culture fit (“Our values are XYZ. Tell us about a time in which you embodied one of these values.”)

    • Why this company

    When crafting a response to “Why this company?” always talk about the mission or product first and the approach or values second (ex: “Nobody else approaches it like you. You’re being more scientific than ever before”). Avoid talking about perks, salary, and everything else.

    • Your questions

    At the end of the interview, you will have time to ask questions. Asking questions that show your willingness to learn and drive to do well will help the interviewer leave with a positive impression about you. See our top 10 questions to ask at the end of the interview for ideas.

  3. Keep your responses succinct

    The best responses are clear, specific, and concise. Focus on numbers, context, the reasoning behind the decisions you made, technologies or algorithms, and examples so that your responses hit the empirical points.

    We always tell people that it is better to have a short, more specific response in which you offer to ‘go into more details’ than to continue talking for too long. If the interviewer is interested and they want to learn more, they will ask you for more details.

    For example, “I implemented 3 core features to help us with our goal of getting more views. At a high level, I worked with the design team on a revamped landing page, developed a more efficient and innovative social media sharing, and highlighted referrals clearly. With these features, we reached 100,000 views in a week! I can share more details with you about each of these tasks if you’d like.”

With these tips to help you prepare for your interviews, you should be able to go in with knowledge and confidence. With our help, the candidates in our program have seen their interview performance scores doubled on average and we hope yours increase too.

If you’re interested in working with an advisor 1-on-1 on your job search, become a Pathrise fellow.

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Author
Pathrise
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September 18, 2019
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5 min read
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A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

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Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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