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Technical recruiting for dummies. Attracting the top talent.

Technical recruiting for dummies. Attracting the top talent.

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Nikola Tore
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February 8, 2018
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7 min read
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You can’t be in the tech community without realizing there is a shortage of talent – Mitch Kapor, Entrepreneur

While talking about the talent shortage, the IT industry is one of the most mentioned! Living in the digital era, more and more organizations decide to invest in their digital presence every day.

Most of these organizations face obstacles in identifying and attracting tech talent.

Especially, if an organization does not operate in the IT sector, but aims to focus on its IT department to compete with other market players.

In this case, it makes it even more difficult for these companies.

Tech talent knows that out there is a huge demand for them. Therefore, they take advantage of the situation, and they aim to secure a place among big companies.

They are more motivated, and it gives them more pleasant to work in a company which solely focuses on IT products rather than in a company which operates in consulting and needs its IT department just to ensure the smooth operation of its processes and systems.

Knowing what tech employees are looking for, organizations need to focus more on some specific steps to attract and secure motivated tech talent for their department (even if they can’t be called an IT or a software company…that’s not the case if you play it smart)

6 steps guide to tech recruiting for dummies

Define your needs (Be realistic with yourself)

Having built (or not) a strong employer brand, the first contact you will have with candidates is the job description that you will present them. Make sure you create an attractive job description without going too far.

Present the company’s mission and focus on why someone should consider a position in your company.

What do you offer?

Is there any opportunity to make the new hire feel he/she will have an impact on the company’s achievements?

Is there a specific “cool” project you are working on? What makes you different from other companies?

To answer all these questions you first need to do two things:

  • define your needs
  • be realistic while defining your needs

Recruiters and hiring managers together should take some time and discuss a team’s needs and how they are or can be aligned with the company’s bigger goals.

Try to identify why you have this position and define the tasks the new hire will be expected to take on.

Do not look at blogs and websites which offer you ready job description templates and just copy-paste.

If you want to use them, that’s ok, but use them only as a template which will help you to develop your own specific job description.

My job description is…being enthusiastic – Dhani Harrison

In your job description, you should focus on what set of skills and knowledge you are looking for in candidates who will apply.

If you provide candidates with real examples of how their skills and knowledge will be utilized aiming to achieve a bigger goal or to work on building a vision, candidates will understand that they will be part of a team which performs with a purpose; they will appreciate it and even the top tech talent will be willing to work with you.

Highlight your strengths

Focus on your cool project/product/service

Bet it a big or a small company, a start-up or a well-established company, each has its own strengths. A big company can be good at easily approaching big clients and selling to candidates thanks to its brand and exposure, but a start-up can be good at working on very cool projects which are expected to disrupt markets.

Because you are not big (yet) it does not mean that you can’t be attractive to top tech talent.

If you present to candidates an interesting project that you will be working on for the next few months or if you present them with a new product/service which is about to launch and is expected to change the way we used to see what it replaces (think of Apple launch and Nokia’s “death”), then yes, you give them a huge reason to join your team.

Therefore, be encouraged to include a detailed description of the project that the new hire will be working on.

Do not solely focus on a generic description of the team and its goals, but provide candidates with information about the impact that their work is expected to have on the final product/service.

Tell them about the tools and the systems you use, and let them know that you are open to new ideas/suggestions on improving your processes. Tell them you provide them with ownership.

Over half (54%) of the organizations say the digital talent gap is hampering their digital transformation programs and that their organization is losing competitive advantage because of a shortage of digital talent.

UKTN

Make your employees your “EVP” ambassadors

Another strength of your company could also be the company culture and the flexibility you offer at work. Think of LinkedIn, Netflix and Google.

Despite the success they have because of their products/services, they are well known for their employee-friendly programs and processes.

As big companies they may have already built their brand, and you may not be there yet, but that’s OK! Not everyone has a strong employer brand, and it takes time, effort, and financial investment to build one.

What you can do is show your candidates your ambition and how serious you are about becoming the best in your industry; show them also how you plan to achieve that.

Show them your commitment to invest in their learning and development; after all, investment in learning new skills is related to the company’s overall performance.

While keeping the aforementioned in mind, it is important to make your employees “Employee Value Proposition” (EVP) ambassadors. Who can promote your company to candidates better than your own employees? Exactly, no one!

Your employees’ happiness and willingness to share the open positions, along with the positive impact that the company culture may have, can be your best employer branding strategy. And the best…it will cost you nothing!

Choose the right sourcing channels

Now that you have defined your needs, and you have created an appealing but realistic job description focusing on your needs, projects, and strengths, it is time to make the decision where to look for top tech talent. Your career website and LinkedIn are two of the most well-known platforms to post your new open positions, but think a bit further and take the next step.

When you post a job on LinkedIn ask your hiring manager and other team members to share it as well. Thus, “taking advantage” of the hiring manager’s and other team members’ network, you will be able to reach out to even more relevant talent (Word of Mouth). [Read – What is social HR? ]

I know someone who knows someone who may know someone else. – The Pooh Sticks (edited)

Build a partnership with strategic universities

Think of relevant universities. University job boards do not exist only for entry-level positions. Remember that most of the universities have also alumni groups.

Candidates with experience could be found there as well. If not, if your job description manages to gain the attention of one of the other members, be sure that he/she will share it with others. That’s the purpose of an alumni group, to help each other grow in their career by sharing knowledge and opportunities.

Be proactive and start building partnerships in advance with universities where top tech talent study(ied). Make sure you hold a presentation in front of students and make sure you involve students in different case studies or coding exercises which will challenge them and convince them that you are an employer worth working for.

Take advantage of talent pools (use hackathons, talent assessment software)

By 2020 1.3 million new U.S software jobs will require tech talent. But there will only be 400,000 new US computer science grads.” – Indeed blog

Supposing that you have followed all the steps mentioned above, your only remaining task now is to ensure you approach candidates with relevant experience, skills, and knowledge.

One way to do this is by taking advantage of existing talent pools. You may have your own talent pool, but sometimes it is not enough on its own. You can partner with third-party organizations which provide you with a platform where you can reach out to tech talent.

Companies such as HackerEarth can help you organize different hackathons where people from all over the world can participate and only the best ones will go into the remaining steps of the recruitment process.

What does it mean for you? It means a bigger talent pool with no boundaries; all candidates will be tested and assessed on their skills about a specific project or about using specific tools or programs, and it also means that you will be guaranteed a shortlist of qualified candidates for your open position.

Hackathons are not the only way, of course! You can also ask candidates to participate in finding a solution to your case study or for a specific project that you create for them. To be more practical, you can give to your potential candidates a “work sample test” (tasks that the candidate will be performing in the job if hired). This method is the best indicator of future job performance.

To summarize, taking care of these steps is expected to make it easier for employers to approach top tech talent even if the company does not operate in the IT/Software industry. In any case, today when technology is taking over everything, every organization has a digital side, and therefore every company is somehow an IT/Software-focused company.

The way you approach candidates can make it even more clear for them the fact that how serious and ambitious you are to take your IT/Software department to the next level.

Finally, if you make sure you provide candidates with the correct information about the position and the company, and if you use the right channels and tools to approach and assess these candidates, then what is left for you to do is celebrate with your team members about the new hire, because you have already ensured that you will onboard the best one! 😉 ( Also read: How to hire the best developer talent at your next career fair )

You can find some more statistics about top tech talent

75 percent of hiring managers report that the time it takes to fill IT positions has increased over the past three years, with the No. 1 reason being “inability to find qualified candidates.-WilsonHCG
Only 36% of people working in tech feel that they have a clear career path, versus 50% of people working in fields such as marketing and finance, according to a survey from TINYPluse.
83% of employers support that the tech talent shortage had hurt their business through lost revenue, slower product development, and increased employee burnout. – Indeed blog
28% of techies said they understand their companies’ vision compared with 43% of non-techies. – The Economist
47% of techies said they had good relations with their work colleagues compared with 56% of non-techies. – The Economist

Top technical recruiting platform comparison

We decided to compare the 8 most common recruitment software platforms as per the number of users. These comparisons have been made from an external source.

(Read – Top 10 recruiting software platforms)

All platforms have been compared based on price, number of users (admins), number of assessments and 9 other criteria.

Download full comparison by filling the form below –

top recruiting software, top 10 recruitment software platform, recruitment software platform, top recruiting software platform comparison

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Author
Nikola Tore
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February 8, 2018
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7 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 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...

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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