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3 Tips To Help You Make The Shift Towards Remote Hiring In 2022

3 Tips To Help You Make The Shift Towards Remote Hiring In 2022

Author
Vishwastam Shukla
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December 13, 2021
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4 min read
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2020 changed the way the globe went to work. While business continuity plans were quickly activated to offset the volatility of the pandemic, and people grew accustomed to the new normal of virtual meetings and remote working, talent hiring, on the whole, presented a challenge for HR and other people teams.

In the face of it all, remote hiring turned out to be a convenient, efficient, cost and time-effective option for both recruiters and candidates. In the post-Covid world, remote hiring has emerged as a common phenomenon in contemporary HR practices. The use of online AI-enabled talent management platforms such as the one provided by HackerEarth has now made it possible to hire from anywhere in an objective and skill-first manner while rooting out the inherent biases that have been the bane of traditional hiring practices.

Creating an effective remote hiring and onboarding process

Remote Hiring Tips for 2022

Regardless of the differences between in-house and remote work, there are some fundamentals of employee screening and hiring that remain unchanged. At HackerEarth, we have always believed in matching skills to the best opportunities—which is what talent hiring is, in a nutshell. The hiring organization needs a skilled developer who will meet or exceed performance expectations. The candidate, on the other hand, is looking for opportunities to showcase their gamut of skills and experience, meet their financial and benefits goals, and feel empowered, engaged, and appreciated.

For this matchmaking (pun intended) to be successful, there are a few criteria that need to be met. As an employer, here are some tips that can help you create better processes to accelerate remote hiring in 2022:

#1. Imbibe a skill-first approach to tech hiring and change processes as needed

Before the pandemic, location-specific hiring was at its peak. Recruiters preferred candidates who were in the same geographical location or were ready to relocate. Post-pandemic, we know that code can be shipped from anywhere in the world as long as the developer writing it is skilled. Remote hiring in 2022 puts the spotlight on objective bias-free hiring because when you take parameters like location, academic pedigree, race, ethnicity, etc. out of the picture, all you are left with is core skills.

While this shift towards a skill-first approach to hiring is welcome, it also means that companies have to change their traditional processes. In a recent survey that we conducted, we found that companies that use assessment tools for their tech hiring report have a more standardized process. The process is also more objective, and evaluations more accurate.

What may have worked before may not necessarily work in the post-pandemic world where candidates are more sensitized to flaws in the process and are demanding change. Our annual Developer Survey showed that about 40% of developers would like to be interviewed via dedicated platforms, and by not making these tools a part of the process, companies are only losing out on top talent.

Along with these tools, a mindset change is also needed; and I couldn’t stress this enough. We need to break the conventional mold of a good developer and hire candidates who demonstrate excellence in real life, and not just on paper.


Recommended read: 4 Features of FaceCode That Make Remote Interviews Easier!


#2. Provide opportunities, pay, upskilling initiatives, and other benefits that distinguish you from other employers

Remember, the talent you are vying for has many opportunities knocking on their door. In the candidate market we are living in, employers are being pitted against each other. Mercilessly, if I may add.

How do you distinguish yourself from all other employers then? High pay aside, student developers, who are just starting in the tech world, say a good career growth curve is a must-have. Working professionals can be wooed by offers of a good career path and compensation.

The last two years have taught developers the importance of self-growth, happiness, and fuelling their creativity. They would not want to go back to a job that feels like a rut when there are better opportunities elsewhere. Diversity and inclusion policies are also prominent asks. As remote hiring opens up the talent sourcing funnel, it also lends itself to this new and improved archetype where equality is paramount.

This is again, proof of how ‘traditional’ just won’t work anymore in the new post-pandemic paradigm. We have outgrown the phase where only candidates were required to prove they had that ‘X factor’; employers too have to prove that they are worthy of the talent they are hiring.


Recommended read: Diversity And Inclusion In 2022


#3. Check for culture, emotional, and psychological fit before making an offer

The terms ‘culture’, ‘collaboration’, and ‘commitment’ have different meanings in today’s world. Collaborating on code from halfway across the world requires a different etiquette. It’s not the same as turning around in your swivel chair in your office and asking your colleague for help.

Remote work has its own mores. Code needs to be shipped on agreed timelines, a common repository has to be maintained, communication needs to be succinct but also frequent. The frameworks for processes like promotions and appraisals also change. Goes without saying that the candidate you hire must be emotionally and psychologically fit to work in such an environment. Coding is, in many ways, a synergetic process, and it is not always easy on individual, remote contributors. Hire someone who can shoulder the burden without crumbling under the pressure, and who can work seamlessly with the tech team you have already built.

And thus, the takeaways…

When I look back at the last two years, I am amazed—as many others have been—at the amount of resilience the technology sector has displayed in the face of a massive outswinger (the World Cup hangover still holds fort as you can see). Adopting a remote-first work policy will, in my opinion, only increase this resilience. It will open the doors for more diverse talent, foster pay, and gender equality, and nudge companies to appreciate and nurture talent. It is not easy, and it requires us to change processes, use new tools and platforms, and bid goodbye to traditional mindsets.

As tech hiring begins to scale again, and businesses look to future-proof themselves, the need for top-tier tech talent is only set to increase. It is a war out there, and the only way to win it is by adapting to the ‘new normal’ and taking a fresh, improved approach to tech hiring.

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Author
Vishwastam Shukla
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December 13, 2021
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4 min read
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Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe 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,...

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.

How Candidates Use Technology to Cheat in Online Technical Assessments

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...

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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