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Building An Employer Brand: Everything You Need To Know

Building An Employer Brand: Everything You Need To Know

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Sonaksh Singh
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July 4, 2022
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3 min read
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The future is now!

Every aspect of handling a business has seen a significant change in recent years and quite a lot of it is due to a storm of post-COVID technological advancements. From AI, and machine learning, to HR tech, every aspect of running a business is being revolutionized.

The recruitment industry is no different – the strategies used by HR professionals to recruit skilled candidates are currently seeing a massive change. Not all of it is tech-related; quite a lot of the changes are about employing new and impactful strategies to engage talent.

In short – this is about employer branding!

But what is employer branding in recruitment?

A relatively new concept that is making the rounds. It’s a key factor to help brands remain influential and maintain a good reputation among consumers and potential employees alike.

In fact, reputation matters so much that, according to a 2017 study, 67% of men and 86% of women in the US will not join a company with a poor reputation. Furthermore, do bear in mind that recruitment is fast becoming more like marketing. Hence, using the same strategies for employment branding is now becoming an essential part of the hiring process.

Marketing + employer branding… but why?

The answer is simple, to attract the best talent there is. With start-ups popping up around every corner complementing the high scarcity of skilled candidates, recruiters are forced to re-strategize and adopt new strategies.

As a recruiter, you must understand one thing, treat candidates like you would treat a customer and the job role is the product you are offering them. This can be done with a great recruitment strategy and employer branding.

Multiple top-tier brands have already adopted this strategy. For example, Starbucks has quite successfully created a great work environment. They use their social media handles to let the world know how good their employees are.

Additionally, they also have a separate social media handle to connect and interact with job seekers. This is a great example of an employer brand.

Employer Brand: A Definition

The term “employer brand” is used to define an organization’s reputation from the perspective of potential candidates/employees and is also used to convey the brand’s values and how they treat its employees.

Employer branding refers to the process of how an employer brand is made and maintained.

Employer branding has a direct impact on recruitment numbers as brands with a good reputation attract and retain more employees. Furthermore, they’ll also witness a significant increase in employee satisfaction as compared to brands with poor reputation.

As per TalentLyft, around 83% of employed individuals will quit their current job if they get an offer from another organization with a better reputation. This clearly shows how important employer branding is.

How Building An Employer Brand Will Help Your Business

When recruitment branding strategies are a huge part of the recruitment process, it comes as no surprise that there are a slew of benefits that follow. From attracting and retaining top talent to boosting your organization’s performance, there are many.

But it will all only come together when you implement an effective recruitment branding strategy. Mentioned below are a few pointers on how to build a strong employer brand.

Low Cost Of Hiring

As per these statistics by LinkedIn, you can reduce your organization’s cost-per-hire by a whopping 50%.

If you’re thinking it may also reduce the quality of candidates, in the same report you can also see that a good employer branding strategy attracts more qualified candidates. Taking simple steps such as letting everyone know about your workplace values through social media posts and similar activities can go a long way in attracting top talent without much investment.

Also Read: The Ultimate Guide To Social Recruiting

Better Chances Of Attracting Top Talent

A follow-up to the previous point, a good employer branding strategy makes it easy for recruiters to connect with skilled and exemplary candidates.

Typically, a lot of effort and resources would go into attracting, hiring, and retaining top talent, but the winds are changing direction now. By creating a good employer brand you can attract top talent without hassle. All it takes is maintaining a positive work culture and letting people know about it.

Improved Retention

Employer branding isn’t only used for attracting top talent, it is also used to improve retention rates and decrease employee turnover rates.

By bonding with potential employees during the hiring process, you’re promoting a good level of engagement with the brand and when employees are engaged/interactive, it boosts productivity levels as well.

Increased productivity also means decreased employee turnover rates and improved retention rates.

More Brand Credibility

With a great employer branding strategy, the brand’s credibility improves as well. It’s common knowledge that customers would not like to interact with brands that have a bad reputation. This means if you want customers to interact with your brand, you need credibility.

When you employ a good employer branding strategy, it can create a ripple effect in boosting the brand’s credibility.

Boost Organization’s Performance

When a brand has a good reputation, people are more likely to interact with them and buy its products/services. But the same cannot be said for brands with a negative reputation. Let’s take Apple, for example. A big brand with a great name managed to besmirch its name briefly due to a scandal, where they purposely slowed down old versions of iPhones and this negatively impacted their brand name and business.

In 2017, as reported by LinkedIn, it was seen that brands with great employer branding saw their revenue increase by 20% and this speaks volumes.

Tips To Build An Employer Brand

If you want to build an effective employer brand, then remember, it’s the small things that matter most. For instance, you should give employee reviews the same attention you give customer reviews. Similarly, there are other things you can do to improve employee experience and become a great employer brand.

  • Build a delightful hiring process

If you want the best candidates to join your organization, you need to have a good hiring process. When the recruitment process is enjoyable and engaging for the candidate, the enthusiasm is carried over when they’re hired and this improves employee performance and increases retention rates as well.

You must make the candidate feel valued. Apart from using HR tech tools, there are other things you can do to make the process delightful as well:

Employer branding strategy
  • Pay attention to employee experience

Among the most important points, always pay attention to employee experience as it matters a great deal. The experience of the employee always affects engagement with other employees. With good employee experience, you can see improved engagement levels, and good engagement levels translate to higher productivity.

Furthermore, employee experience also affects retention rates, if employee experience isn’t up to the mark then employees will start to quit, thus increasing employee turnover rates. But with positive employee experience, retention rates will improve.

  • Providing perks that matter to the employee

Employee benefits and perks are crucial. Your employees need to feel rewarded for everything they’re doing for the organization. As per this report by Aflac, nearly 49% of employees look for new job opportunities if their current employee benefits and perks aren’t satisfactory.

Benefits and perks, typically, are extended to the employees’ families as well, covering everything from health to financials. Perks are a little different than benefits, perks are added benefits and brands nowadays are leaning toward offering several great perks like flexible working hours, work-from-home options, and other similar benefits.

Let’s take Google, for example. They’re known for offering great employee perks like flexible work schedules to building in-house gyms for employees. They also offer sleep pods for employees to take power naps and this is just the tip of the iceberg.

With work-from-home taking over, the perks offered are even more attractive, like, lack of micro-management, hybrid working options, options to choose your login and logout timings, live workout sessions, free food delivery coupons, and much more.

With great perks

… how great is that?

  • Offer learning and development opportunities

The opportunity to learn and grow is a major deciding factor for candidates when they’re on the hunt for a job. As per a 2020 survey by Stack Overflow, it was seen that 59% of candidates are looking for an opportunity to learn and develop their skills as well.

In addition to that, when you ask employees to learn and develop additional skills, they are engaged and they also cement their place as valuable assets who deliver quality great results.

  • Align your Employer Branding Strategy with Overall Brand Strategy

Remember Employer Brand and Corporate Brand are two different sides of the same coin. A corporate brand’s main aim is to increase sales and bring in revenue, whereas, an employer brand maintains focus on the recruitment and retention of employees.

Employer branding strategy involve understanding if the workplace is good enough for employees, introducing inclusive policies, and looking out for barriers in the recruitment process. So to get the best result, it is important to align their objectives and prioritize both of them equally. If they aren’t, then it could affect your recruitment process as well as your business operations.

  • Seek the expertise of the marketing team

As previously mentioned, recruitment has become more like marketing in recent years and it only makes sense to take the guidance of marketing experts.

You should be able effectively to market the job role and the brand to potential employees and candidates. Incorporating content based marketing into your strategy ensures that your efforts respect candidate preferences while building trust and transparency. With the help of a marketing team, you can do the same in the most effective manner.

With strong competition on the rise, an effective marketing strategy aligned with your recruitment goals will help you attract and hire top talent.

  • Monitor employee reviews as much as customer reviews

Just like a customer who reviews products online before purchasing them, people research brands before sending over their job applications.

The best way to know about a brand’s workplace environment is to read online reviews of the same. Of course, getting a positive review from every employee (past or present) may be impossible but how you respond to them also tells a lot about your brand’s values.

On the off chance you come across a credible negative review, make sure you address it.

Building an employment brand is as important as building your organization’s corporate brand. If you can recruit top talent then the success of your corporate brand increases as well.

6 Tips for better employer branding

How HackerEarth can help build an employer brand

  • Innovative assessment tools: HackerEarth’s cutting-edge assessment tools enable companies to showcase their commitment to hiring the best talent through merit and skill, reinforcing the image of a quality-focused employer.
  • Enhanced candidate experience: The platform’s user-friendly interface and efficient process enhance the candidate experience, reflecting positively on the employer’s brand.
  • Customizable challenges: By offering customizable coding challenges and skill assessments, HackerEarth allows companies to align their recruitment process with their brand ethos and values.
  • Global reach: The ability to reach a wide, global talent pool with HackerEarth’s platform showcases a company’s international presence and appeal, enhancing its brand image.
  • Data-driven insights: The platform provides data-driven insights into the hiring process, showcasing the employer’s commitment to transparency and informed decision-making.
  • Diversity and Inclusion: By facilitating unbiased and skill-based assessments, HackerEarth helps companies in promoting diversity and inclusivity, which are key aspects of a modern employer brand.

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Sonaksh Singh
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July 4, 2022
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3 min read
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How I used VibeCode Arena platform to build code using AI and leant how to improve it

I Used AI to Build a "Simple Image Carousel" at VibeCodeArena. It Found 15+ Issues and Taught Me How to Fix Them.

My Learning Journey

I wanted to understand what separates working code from good code. So I used VibeCodeArena.ai to pick a problem statement where different LLMs produce code for the same prompt. Upon landing on the main page of VibeCodeArena, I could see different challenges. Since I was interested in an Image carousal application, I picked the challenge with the prompt "Make a simple image carousel that lets users click 'next' and 'previous' buttons to cycle through images."

Within seconds, I had code from multiple LLMs, including DeepSeek, Mistral, GPT, and Llama. Each code sample also had an objective evaluation score. I was pleasantly surprised to see so many solutions for the same problem. I picked gpt-oss-20b model from OpenAI. For this experiment, I wanted to focus on learning how to code better so either one of the LLMs could have worked. But VibeCodeArena can also be used to evaluate different LLMs to help make a decision about which model to use for what problem statement.

The model had produced a clean HTML, CSS, and JavaScript. The code looked professional. I could see the preview of the code by clicking on the render icon. It worked perfectly in my browser. The carousel was smooth, and the images loaded beautifully.

But was it actually good code?

I had no idea. That's when I decided to look at the evaluation metrics

What I Thought Was "Good Code"

A working image carousel with:

  • Clean, semantic HTML
  • Smooth CSS transitions
  • Keyboard navigation support
  • ARIA labels for accessibility
  • Error handling for failed images

It looked like something a senior developer would write. But I had questions:

Was it secure? Was it optimized? Would it scale? Were there better ways to structure it?

Without objective evaluation, I had no answers. So, I proceeded to look at the detailed evaluation metrics for this code

What VibeCodeArena's Evaluation Showed

The platform's objective evaluation revealed issues I never would have spotted:

Security Vulnerabilities (The Scary Ones)

No Content Security Policy (CSP): My carousel was wide open to XSS attacks. Anyone could inject malicious scripts through the image URLs or manipulate the DOM. VibeCodeArena flagged this immediately and recommended implementing CSP headers.

Missing Input Validation: The platform pointed out that while the code handles image errors, it doesn't validate or sanitize the image sources. A malicious actor could potentially exploit this.

Hardcoded Configuration: Image URLs and settings were hardcoded directly in the code. The platform recommended using environment variables instead - a best practice I completely overlooked.

SQL Injection Vulnerability Patterns: Even though this carousel doesn't use a database, the platform flagged coding patterns that could lead to SQL injection in similar contexts. This kind of forward-thinking analysis helps prevent copy-paste security disasters.

Performance Problems (The Silent Killers)

DOM Structure Depth (15 levels): VibeCodeArena measured my DOM at 15 levels deep. I had no idea. This creates unnecessary rendering overhead that would get worse as the carousel scales.

Expensive DOM Queries: The JavaScript was repeatedly querying the DOM without caching results. Under load, this would create performance bottlenecks I'd never notice in local testing.

Missing Performance Optimizations: The platform provided a checklist of optimizations I didn't even know existed:

  • No DNS-prefetch hints for external image domains
  • Missing width/height attributes causing layout shift
  • No preload directives for critical resources
  • Missing CSS containment properties
  • No will-change property for animated elements

Each of these seems minor, but together they compound into a poor user experience.

Code Quality Issues (The Technical Debt)

High Nesting Depth (4 levels): My JavaScript had logic nested 4 levels deep. VibeCodeArena flagged this as a maintainability concern and suggested flattening the logic.

Overly Specific CSS Selectors (depth: 9): My CSS had selectors 9 levels deep, making it brittle and hard to refactor. I thought I was being thorough; I was actually creating maintenance nightmares.

Code Duplication (7.9%): The platform detected nearly 8% code duplication across files. That's technical debt accumulating from day one.

Moderate Maintainability Index (67.5): While not terrible, the platform showed there's significant room for improvement in code maintainability.

Missing Best Practices (The Professional Touches)

The platform also flagged missing elements that separate hobby projects from professional code:

  • No 'use strict' directive in JavaScript
  • Missing package.json for dependency management
  • No test files
  • Missing README documentation
  • No .gitignore or version control setup
  • Could use functional array methods for cleaner code
  • Missing CSS animations for enhanced UX

The "Aha" Moment

Here's what hit me: I had no framework for evaluating code quality beyond "does it work?"

The carousel functioned. It was accessible. It had error handling. But I couldn't tell you if it was secure, optimized, or maintainable.

VibeCodeArena gave me that framework. It didn't just point out problems, it taught me what production-ready code looks like.

My New Workflow: The Learning Loop

This is when I discovered the real power of the platform. Here's my process now:

Step 1: Generate Code Using VibeCodeArena

I start with a prompt and let the AI generate the initial solution. This gives me a working baseline.

Step 2: Analyze Across Several Metrics

I can get comprehensive analysis across:

  • Security vulnerabilities
  • Performance/Efficiency issues
  • Performance optimization opportunities
  • Code Quality improvements

This is where I learn. Each issue includes explanation of why it matters and how to fix it.

Step 3: Click "Challenge" and Improve

Here's the game-changer: I click the "Challenge" button and start fixing the issues based on the suggestions. This turns passive reading into active learning.

Do I implement CSP headers correctly? Does flattening the nested logic actually improve readability? What happens when I add dns-prefetch hints?

I can even use AI to help improve my code. For this action, I can use from a list of several available models that don't need to be the same one that generated the code. This helps me to explore which models are good at what kind of tasks.

For my experiment, I decided to work on two suggestions provided by VibeCodeArena by preloading critical CSS/JS resources with <link rel="preload"> for faster rendering in index.html and by adding explicit width and height attributes to images to prevent layout shift in index.html. The code editor gave me change summary before I submitted by code for evaluation.

Step 4: Submit for Evaluation

After making improvements, I submit my code for evaluation. Now I see:

  • What actually improved (and by how much)
  • What new issues I might have introduced
  • Where I still have room to grow

Step 5: Hey, I Can Beat AI

My changes helped improve the performance metric of this simple code from 82% to 83% - Yay! But this was just one small change. I now believe that by acting upon multiple suggestions, I can easily improve the quality of the code that I write versus just relying on prompts.

Each improvement can move me up the leaderboard. I'm not just learning in isolation—I'm seeing how my solutions compare to other developers and AI models.

So, this is the loop: Generate → Analyze → Challenge → Improve → Measure → Repeat.

Every iteration makes me better at both evaluating AI code and writing better prompts.

What This Means for Learning to Code with AI

This experience taught me three critical lessons:

1. Working ≠ Good Code

AI models are incredible at generating code that functions. But "it works" tells you nothing about security, performance, or maintainability.

The gap between "functional" and "production-ready" is where real learning happens. VibeCodeArena makes that gap visible and teachable.

2. Improvement Requires Measurement

I used to iterate on code blindly: "This seems better... I think?"

Now I know exactly what improved. When I flatten nested logic, I see the maintainability index go up. When I add CSP headers, I see security scores improve. When I optimize selectors, I see performance gains.

Measurement transforms vague improvement into concrete progress.

3. Competition Accelerates Learning

The leaderboard changed everything for me. I'm not just trying to write "good enough" code—I'm trying to climb past other developers and even beat the AI models.

This competitive element keeps me pushing to learn one more optimization, fix one more issue, implement one more best practice.

How the Platform Helps Me Become A Better Programmer

VibeCodeArena isn't just an evaluation tool—it's a structured learning environment. Here's what makes it effective:

Immediate Feedback: I see issues the moment I submit code, not weeks later in code review.

Contextual Education: Each issue comes with explanation and guidance. I learn why something matters, not just that it's wrong.

Iterative Improvement: The "Challenge" button transforms evaluation into action. I learn by doing, not just reading.

Measurable Progress: I can track my improvement over time—both in code quality scores and leaderboard position.

Comparative Learning: Seeing how my solutions stack up against others shows me what's possible and motivates me to reach higher.

What I've Learned So Far

Through this iterative process, I've gained practical knowledge I never would have developed just reading documentation:

  • How to implement Content Security Policy correctly
  • Why DOM depth matters for rendering performance
  • What CSS containment does and when to use it
  • How to structure code for better maintainability
  • Which performance optimizations actually make a difference

Each "Challenge" cycle teaches me something new. And because I'm measuring the impact, I know what actually works.

The Bottom Line

AI coding tools are incredible for generating starting points. But they don't produce high quality code and can't teach you what good code looks like or how to improve it.

VibeCodeArena bridges that gap by providing:

✓ Objective analysis that shows you what's actually wrong
✓ Educational feedback that explains why it matters
✓ A "Challenge" system that turns learning into action
✓ Measurable improvement tracking so you know what works
✓ Competitive motivation through leaderboards

My "simple image carousel" taught me an important lesson: The real skill isn't generating code with AI. It's knowing how to evaluate it, improve it, and learn from the process.

The future of AI-assisted development isn't just about prompting better. It's about developing the judgment to make AI-generated code production-ready. That requires structured learning, objective feedback, and iterative improvement. And that's exactly what VibeCodeArena delivers.

Here is a link to the code for the image carousal I used for my learning journey

#AIcoding #WebDevelopment #CodeQuality #VibeCoding #SoftwareEngineering #LearningToCode

The Mobile Dev Hiring Landscape Just Changed

Revolutionizing Mobile Talent Hiring: The HackerEarth Advantage

The demand for mobile applications is exploding, but finding and verifying developers with proven, real-world skills is more difficult than ever. Traditional assessment methods often fall short, failing to replicate the complexities of modern mobile development.

Introducing a New Era in Mobile Assessment

At HackerEarth, we're closing this critical gap with two groundbreaking features, seamlessly integrated into our Full Stack IDE:

Article content

Now, assess mobile developers in their true native environment. Our enhanced Full Stack questions now offer full support for both Java and Kotlin, the core languages powering the Android ecosystem. This allows you to evaluate candidates on authentic, real-world app development skills, moving beyond theoretical knowledge to practical application.

Article content

Say goodbye to setup drama and tool-switching. Candidates can now build, test, and debug Android and React Native applications directly within the browser-based IDE. This seamless, in-browser experience provides a true-to-life evaluation, saving valuable time for both candidates and your hiring team.

Assess the Skills That Truly Matter

With native Android support, your assessments can now delve into a candidate's ability to write clean, efficient, and functional code in the languages professional developers use daily. Kotlin's rapid adoption makes proficiency in it a key indicator of a forward-thinking candidate ready for modern mobile development.

Breakup of Mobile development skills ~95% of mobile app dev happens through Java and Kotlin
This chart illustrates the importance of assessing proficiency in both modern (Kotlin) and established (Java) codebases.

Streamlining Your Assessment Workflow

The integrated mobile emulator fundamentally transforms the assessment process. By eliminating the friction of fragmented toolchains and complex local setups, we enable a faster, more effective evaluation and a superior candidate experience.

Old Fragmented Way vs. The New, Integrated Way
Visualize the stark difference: Our streamlined workflow removes technical hurdles, allowing candidates to focus purely on demonstrating their coding and problem-solving abilities.

Quantifiable Impact on Hiring Success

A seamless and authentic assessment environment isn't just a convenience, it's a powerful catalyst for efficiency and better hiring outcomes. By removing technical barriers, candidates can focus entirely on demonstrating their skills, leading to faster submissions and higher-quality signals for your recruiters and hiring managers.

A Better Experience for Everyone

Our new features are meticulously designed to benefit the entire hiring ecosystem:

For Recruiters & Hiring Managers:

  • Accurately assess real-world development skills.
  • Gain deeper insights into candidate proficiency.
  • Hire with greater confidence and speed.
  • Reduce candidate drop-off from technical friction.

For Candidates:

  • Enjoy a seamless, efficient assessment experience.
  • No need to switch between different tools or manage complex setups.
  • Focus purely on showcasing skills, not environment configurations.
  • Work in a powerful, professional-grade IDE.

Unlock a New Era of Mobile Talent Assessment

Stop guessing and start hiring the best mobile developers with confidence. Explore how HackerEarth can transform your tech recruiting.

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

Vibe Coding Difference

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 or Hostinger Horizons 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.

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