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7 Tech Recruiting Trends To Watch Out

7 Tech Recruiting Trends To Watch Out

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Ruehie Jaiya Karri
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February 23, 2022
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3 min read
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The last couple of years transformed how the world works and the tech industry is no exception. Remote work, candidate-driven market, automation are some of the tech recruiting trends that were born out of the pandemic.

While accepting the new reality and adapting to it is the first step, keeping up with the continuously changing hiring trends in technology is the bigger challenge right now.

What does 2025 hold for recruiters across the globe? What hiring practices would work best in this post-pandemic world? How do you stay on top of the changes in this industry?

The answers to these questions will paint a clearer picture of how to set up for success while recruiting tech talent this year.

7 tech recruiting trends

6 Tech Recruiting Trends To Watch Out For In 2022

Recruiters, we’ve got you covered. Here are the tech recruiting trends that will change the way you build tech teams in 2024.

Trend #1—Leverage data-driven recruiting

Data-driven recruiting strategies are the answer to effective talent sourcing and a streamlined hiring process.

Talent acquisition leaders need to use real-time analytics like pipeline growth metrics, offer acceptance rates (by team, department, and location), quality and cost of new hires, and candidate feedback scores—to help them reduce/eliminate manual work, improve in critical areas and hire the best talent.

Trend #2—Have impactful employer branding

98% of recruiters believe promoting company culture helps sourcing efforts as seen in our 2021 State Of Developer Recruitment report. Having a strong employer brand that supports an equally strong Employer Value Proposition (EVP) is crucial to swaying candidates’ decision to work at your company.

As recruiters, you have to evaluate what your culture stands for and how candidates can be successful at the workplace. You have to be specific about what EVPs you are offering. Perks like upskilling opportunities, remote work processes, flexible working hours are some of the top EVPs that attract qualified candidates.

A clear, well-outlined EVP builds a healthier company culture, which includes better work-life balance, prioritizes mental health, and encourages remote/hybrid work. This in turn strengthens your employer brand as these policies are candidate-friendly and put them first.

Trend #3—Focus on candidate-driven market

Katrina Collier, HR and Recruitment facilitator, said in her newsletter that 2021 was the most candidate-driven market she had ever seen in her 18+ years of career. And she’s got it right.

The pandemic drastically increased the skills gap and recruiting tech talent has become an uphill struggle With the severe shortage of tech talent, candidates hold more power in choosing whom to work with—they can afford to be picky.

Simply dangling a competitive pay package will not cut it anymore. Utilize data-driven recruiting to find out what candidates look for in an ideal job role. Is it work-life balance, a healthy company culture, remote work options, or investment in learning and development?

Recruiters and hiring managers need to get creative to stand out from the crowd and attract the cream of the crop.

Recommended read: What NOT To Do When Recruiting Fresh Talent

Trend #4—Have a diversity and inclusion oriented company culture

Fairer representation and inclusion in the tech industry throughout the world have come to the forefront in the last few years. It has become a key focus of modern recruitment.

While our survey shows us that D&I may have to take a backseat at times to quickly fill open positions—25.6% of our HR respondents believe having a diverse executive team, and improving connections with grassroots student communities can improve their diversity pipeline and fend off biases.

This is further supported by the fact that above-average profitability is 25% higher for companies in the top-quartile for gender diversity in leadership and 36% higher for those with ethnic diversity as seen in McKinsey’s Diversity Wins report.

Recruiters have also experienced candidates turn down job roles due to a lack of DEI representation at the workplace. This is the time to be more intentional about building a diverse tech team to stay relevant and reap the full advantages of D&I in 2024.

It’s refreshing to see the importance of an inclusive culture or to see its popularity as a deal breaker increasing across every job seeking community , including that of the tech community. This reiterates the message of how D&I is not a good-to-have as a culture, but is a must-have that makes absolute people – business sense.
— Swetha Harikrishnan, Sr. HR Director at HackerEarth

Recommended read: Diversity And Inclusion in 2022 – 5 Essential Rules To Follow

Trend #5—Embed automation and AI into your recruitment systems

With the hype that artificial intelligence like ChatGPT, the world of automation has turned the tables. This simply means that the upcoming years are going to see AI fully embedded in every organization’s process—and recruiting is no different!

If, as a recruiter, you have faced enormous challenges in communicating with the candidates: extremely delayed updates, less to no feedback on how the candidate performed in the interviews and

Looking at it from a recruiter’s perspective, regular communication with the candidates is one of the most difficult parts of their job. Manually emailing prospects to nurture them or keeping a large number of candidates in the loop is time-consuming, labor-intensive, and not sustainable.

In 2025 and beyond, recruitment automation trends like automated nurturing and AI for recruiting platforms are what will both eliminate the needless complexity and inefficiency of manual communications and ensure you personalize your team’s candidate outreach. This serves to provide a positive candidate-first experience as well.

Trend #6—Conduct remote interviews

The future of work is mostly remote/hybrid. Remote work has mandated that tech hiring become a more collaborative process, and accelerated the adoption of tech recruiting platforms. What was a forced necessity last year, is here to stay.

32.5% of companies say that they plan to be completely remote this year. And that should translate into remote hiring practices. More and more candidates are expecting remote work and remote hiring processes.

Remote recruitment saves time, expenses and increases efficiency while also opening the doors to a larger talent pool not limited by geography.

Trend #7 — Be proactive in candidate engagement

When recruiters don’t respond to candidates in a timely manner, and update about the screening status—whether they are moving with the candidate to the next round or not—gets the candidiate disappointed.

Candidates expect constant engagement from organizations. That’s what Narayani Gurunathan, the CEO of PlaceNet Consultants emphasizes upon.

As the recruitment landscape continues to evolve, companies are placing increasing emphasis on proactive candidate engagement to attract and retain top talent. In 2023 and beyond, this trend is set to take center stage, with a particular focus on engaging with both active and passive candidates. To stand out in a crowded marketplace, organizations will implement innovative strategies to capture the attention of potential candidates, more so due to the remote hiring environment, Use of technologies such as chatbots and AI-powered feedback systems will play a dominating role here. In addition to technology, building relationships with passive candidates and creating pipelines for future talent needs will also emerge in this new landscape. By investing in the candidate experience and taking a long-term approach, companies will build a strong employer brand and create a competitive advantage. Ultimately, the goal of proactive candidate engagement is to create a positive and personalized experience for candidates, meeting the talent needs of the organization and augmenting employer branding. Thus by prioritizing this trend in 2023 and beyond, companies will not only build a reputation as a desirable employer, but also attract the best talent to achieving long-term success.

Recruiting Tech Talent Just Got Easier With HackerEarth

Recruiting tech talent that is qualified is complicated. It is also competitive, difficult, and long. We, at HackerEarth, aim to make it simple. HackerEarth for Enterprises presents a complete suite of products that unites every step of the employee lifecycle, right from attracting, sourcing to interviewing—making the lives of both developers and recruiters easy!

Effortlessly hire the best developers with our tech recruiting platform that offer features like:

  • With our 6 million strong developer community, we connect organizations with one of the largest talented candidate pools out there.
  • Our customized virtual hackathons are well-suited to engaging the developer community and strengthening your employer brand.
  • We enable you to create online assessments capable of testing 80+ skills, including full-stack assessments, with minimal technical knowledge.
  • Our AI-powered assessment platform comes with dev-friendly IDEs, practice rounds, and support for multiple languages.
  • Our reports and transcripts benchmark the candidate against the entire community or candidate pool.
  • FaceCode, our intelligent remote coding interview tool, allows you to smoothly invite candidates and conduct technical coding interviews, using a real-time, collaborative code editor with a built-in compiler. Bid adieu to whiteboards!
  • HackerEarth’s L&D platform helps employees to evaluate themselves and identify skill gaps. Once these are specified, you can then curate individual learning pathways that will help your team upskill, grow and be ready for future challenges in the ‘present’.
  • Our platform seamlessly integrates with every major ATS provider including Lever, JazzHR, Workable, and Naukri RMS.
  • We offer quick turnaround times and round-the-clock support throughout the process. Our support system has a 95% B2B Customer Satisfaction rating.

Recommended read: The A-Zs Of Tech Recruiting – A Guide

Staying abreast of tech recruiting trends, improving your hiring processes, and adapting to change is the way forward. Take note of the technical recruiting tips and patterns in this article to inform your hiring strategy for the better.

Are you ready to begin streamlining your tech recruiting process? Go on then, take HackerEarth for Enterprises for a quick spin to know more.

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Author
Ruehie Jaiya Karri
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February 23, 2022
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3 min read
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Vibe Coding: Shaping the Future of Software

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 c

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 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 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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