How To Prepare For Your Tech Interview

Let’s be honest—tech interviews can feel daunting. Between live coding challenges, behavioural questions, and system design discussions, it’s easy to feel like you’re being tested from every angle.

The truth is that most candidates fear tech interviews not because they lack skill, but because they don’t fully understand what to expect.

Tech interviews differ significantly from traditional interviews in other industries, such as marketing, healthcare, education, or business. Instead of focusing solely on experience and communication skills, employers use structured, multi-stage processes to measure technical ability, problem-solving, and other specific skills, all while observing how candidates perform under pressure. It’s less about rehearsed answers and more about how you approach real-world challenges.

By the end of this article, you’ll know how to prepare strategically and confidently for your upcoming tech interview.

Why are there many stages in a tech interview?

If you’ve ever compared tech interviews to those in other industries, you’ve probably noticed that the process feels unusually long and layered. And there’s a reason for that. Tech companies invest heavily in ensuring candidates are the right fit technically and culturally.

Our Head of Education, John McKenna, put it perfectly:

“A multi-stage interview isn’t just about finding someone who can code or configure a system. It’s about filtering for curiosity, problem-solving ability, and cultural alignment. In tech, the right mindset is often just as important as the right qualifications.”

In short, multiple stages allow employers to see you through different lenses—your technical aptitude, your approach to challenges, and how you might fit into a collaborative digital environment. Knowing these stages upfront is the first step to preparing strategically and staying ahead of the competition.

What are the common stages in a tech interview?

On average, major tech firms such as Google, Amazon, and Microsoft conduct between four and six interview stages. These often include:

• Initial screening or recruiter call: A short conversation to gauge general fit and motivation.
• Technical assessment or coding challenge: Evaluating practical coding or analytical skills.
• Technical interview: Solving real-time problems with an interviewer.
• System design interview for more advanced roles: Discussing how you’d build and scale solutions.
• Behavioural interview: Identifying collaboration style, adaptability, and communication skills.
• Final or hiring manager interview: Confirming alignment with the company’s goals and expectations.

Smaller or mid-sized companies may streamline this process into two or three key rounds, but the goal remains to assess both competence and potential.

Step 1: Resume and Application Screening

For this very first step, recruiters or automated systems (ATS) filter applications (your CV) to match keywords and core skills listed in the job description.

Your goal is to make your resume easy to scan. Include relevant tech skills (languages, tools, frameworks) and highlight measurable results from your projects or past roles.

Make sure to highlight tangible results from your previous projects or training. For example, “Built a responsive portfolio website using React” or “Automated data entry workflows to improve accuracy by 30%.”

Mirror the language in the job advert. If the role calls for “Python programming” or “knowledge of AWS,” use those exact phrases. ATS software is keyword-based, so this tactic improves your chances of passing the initial filter.

Another very important step is to highlight any certifications you’ve been awarded. These help reassure hiring managers that you have a structured foundation in the technologies you’re claiming.

If you’re building your skills through providers like Firebrand Training, make sure to list the specific certifications you’ve completed (for example, CompTIA, Microsoft, AWS, or cybersecurity-focused qualifications) and link to the official certification. This not only validates your expertise but also signals that you’re serious about investing in your transition into tech.

Step 2: Recruiter or Initial Screening Call

Once your CV catches attention, you’ll often be invited to a brief recruiter call, which lasts around 20 to 30 minutes. This is your first impression, and it sets the tone for the entire process.

Common questions include:

• “Tell me a bit about your background.”
• “What’s motivating your career change into tech?”
• “What technologies have you been learning recently?”
• “What kind of environment do you thrive in?”
• “Why are you interested in our company and the role?”
• “What are your career goals?”
• “When are you available to start working?”

Tips for success:

• Prepare a short professional story that connects your past experience to your new tech path.
• Be clear about your learning journey. Make sure to mention bootcamps, certifications, or recent projects.
• Show enthusiasm. Recruiters love seeing genuine curiosity and a growth mindset.
  
  

Step 3: Technical Assessment or Coding Challenge

This is where things start to get hands-on. Depending on the role, you might face a take-home project, a timed online challenge, or a platform-based test (e.g. on HackerRank or Codility).

The goal is to evaluate how you think and structure your code, not just whether you find the perfect solution. Even non-developer roles such as Business Analysts or Data Specialists may encounter skills-based exercises.

Examples:

• Writing a small program to process and clean data.
• Solving algorithm problems (e.g. sorting, searching).
• Building a mini front-end feature with given requirements.

To do well, focus on clarity and correctness, not tricks or shortcuts. You should also explain key decisions and test thoroughly before submission.

As someone transitioning to a tech role, you may not feel too confident about your tech skills, so make sure to practise regularly on coding challenge platforms to build both speed and confidence.

Step 4: Technical Interview (Live Problem-Solving)

This interview takes your problem-solving one step further. You’ll work through coding exercises, whiteboard challenges, or debugging questions live with an interviewer.

The key skill being tested here is how you approach problem-solving. Interviewers observe your logical process, communication, discernment, and ability to adapt to difficult situations.

Typical exercises:

• Analysing a broken piece of code and fixing errors.
• Designing an efficient algorithm.
• Explaining your thought process while you code.

Tips for success:

• Talk through your logic aloud—narrate what you’re doing.
• Pause to clarify requirements before jumping into code.
• Use consistent formatting and descriptive variable names.
• Don’t panic if you get stuck.
• Focus on the process: explaining how you’d tackle the problem shows strong real-world thinking.
  
  

Step 5: System Design or Architectural Interview (For Intermediate to Senior Roles)

At mid- to senior-level, the system design or architectural interview tests how you structure solutions, make trade-offs, and think about scale, reliability, and maintainability. While the format is similar across companies, the focus shifts depending on your role.

For Software Engineers (Backend / Full-Stack)

You’re usually asked to design large-scale applications or core backend services.

Typical prompts:

• Design a URL shortener like Bitly (handle redirects, storage, and scale to millions of requests).
• Design a social media news feed that shows relevant, recent posts to users.
• Design an online shopping cart or e-commerce platform backend.

What interviewers look for is a clear breakdown of components (API gateway, services, databases, caches, queues) as well as the reasoning about consistency, availability, and performance (e.g. when to cache, when to shard a database).

Of course, they’re also looking at your ability to discuss failure modes and how you’d monitor or scale the system.

For Data Engineers

Data roles focus more on pipelines, storage, and analytics rather than user-facing APIs.

Typical prompts:

• Design an end-to-end clickstream data pipeline that ingests millions of events per minute and powers dashboards.
• Design a real-time analytics system to show live product views on an e-commerce site.
• Design a batch + streaming (lambda or kappa) architecture for reporting and machine learning features.

You will be judged on how you handle ingestion, transformation, and storage (e.g. data warehouse or lake). And you should also have an awareness of trade-offs between latency, cost, and reliability.

For Solutions Architects / Software Architects

Here, the focus is on end-to-end business solutions and high-level architecture.

Typical prompts:

• Design a highly available web application for a global customer base.
• Design an architecture for a multi-tenant SaaS application on a public cloud.
• Propose a migration from a monolith to microservices for an existing product.

For this stage of the process, you must demonstrate the ability to translate business requirements into technical architecture, such as APIs, services, data stores, and integration points. You also need to justify technology choices (cloud services, databases, messaging, security controls) with consideration of cost, security, compliance, and long-term maintainability.

For Front-End Engineers

Front-end system design leans into application structure, performance, and user experience.

Typical prompts:

• Design the front-end architecture for a dashboard-heavy single-page application.
• Design a component library and state management approach for a large React or Angular app.

You will be tested on how you structure components, manage state, and handle routing and API calls, as well as strategies for performance (code splitting, caching, rendering decisions). Other things to be evaluated are accessibility and how your front-end will evolve over time.

For DevOps / Platform / SRE Roles

Here, interviews focus on reliability, infrastructure, and tooling.

Typical prompts:

• Design a logging and monitoring system for a large distributed application.
• Design a CI/CD pipeline for a microservices-based application.

What interviewers look for is an understanding of observability (metrics, logs, traces) and incident response. Aside from this, they also look for how you’d design for resilience, auto scaling, and safe deployments.

Step 6: Behavioural or Soft Skills Interview

Even in highly technical fields, soft skills matter. This interview explores how you handle collaboration, problem-solving, feedback, and learning. Things like creative thinking and drive for innovation are also highly valued.

Expect questions such as:

• “Tell me about a time you faced a technical challenge and how you handled it.”
• “Describe a situation where you had to learn a new tool quickly.”
• “Give an example of working with someone who had a different viewpoint.”
• “Tell me about a time you worked with someone difficult.”
• “Describe a situation where something went wrong and how you handled it.”
• “Give an example of a time you received constructive feedback.”

A popular framework for answering these questions is the STAR method.

• Situation – Set the scene.
• Task – Explain what you needed to achieve.
• Action – Describe what you did.
• Result – Share the outcome (ideally with impact).

For each sample question, brainstorm one or two strong stories in advance, map them to STAR, and practise saying them out loud so they sound natural rather than memorised. Let's try an example question: “Tell me about a time you had to learn a new technology quickly.”

S – Situation

“In my previous role, I was working as a project coordinator on a team that decided to introduce a new project management tool to replace our spreadsheets. None of us had used it before, but we were expected to migrate all active projects within four weeks.”

T – Task

“My responsibility was to ensure the team could adopt the new tool smoothly and that our project data was accurately moved over without causing delays to ongoing work.”

A – Action

“I started by blocking out time each day to go through the tool’s documentation and short training videos. I then created a small test project to experiment with features like task boards, dependencies, and reporting. Once I felt confident, I documented a simple ‘getting started’ guide tailored to our team’s workflow and ran a short training session to walk everyone through the essentials. I also set up a shared FAQ document so people could add questions and I could respond or escalate them to support when needed.”

R – Result

“As a result, we completed the migration a week ahead of schedule, and the number of status update emails dropped significantly because the team started using the tool’s dashboards instead. My manager later asked me to help onboard two other teams to the same system, which gave me the confidence to apply the same learning approach when I began studying version control and basic programming for my transition into tech.”

Step 7: Culture Fit and Team Interview

The final rounds often explore how you’d work within the company culture. This stage can include informal chats with future teammates or cross-functional leads.

You might be asked about:

• Your preferred working style (collaborative or independent).
• How you handle feedback or deadlines.
• What kind of team environment helps you do your best work.

Tips for success:

• Be authentic because employers can sense rehearsed answers.
• Ask thoughtful questions about mentorship, projects, or learning paths.
• Show that you value teamwork and continuous improvement.
• If you know someone working in the company, you can also reach out to get a sense of their culture. If you don't know anyone, you can also network with a current or past employee on platforms like LinkedIn.
• Read through the company website to look for company culture cues, such as volunteering projects or social events.

Finally, remember that culture fit goes both ways. You’re assessing them as much as they’re assessing you.

Step 8: Final HR or Hiring Manager Interview

This stage typically focuses on alignment, expectations, and negotiations. The hiring manager or HR lead wants to ensure you’re ready to step into the role and fit within the broader company vision.

Often, you and the hiring manager will discuss:

• Salary expectations
• Company benefits
• Start date and schedule
• Working arrangements
• Career growth opportunities

Pro tip: When it comes to salary negotiation, do your research. Check regional salary benchmarks on platforms like Glassdoor, especially for entry-level or career-transition roles. If you’re new to tech, be open about your growth goals rather than under-selling your value.

Like in other industries, always follow up with a brief, genuine thank-you email as it reinforces your professionalism and leaves a lasting impression.

Tech Interview FAQs

Here are some of the most frequently asked questions when preparing for an interview for a tech role.

How do you build a strong foundation before you apply for a tech role?

Before you start applying, focus on strengthening your core skills and creating evidence of your abilities that employers can actually see. Refresh the fundamentals in the languages, frameworks, or tools that are most relevant to your target role, and make sure you can write, read, and debug code or configure tools.

Practical ways to build that foundation include revisiting key computer science or data concepts that apply to your role, such as time complexity, data structures, databases, or basic networking.

You can also clean up your GitHub and portfolio so they show your best work, not every experiment. Employers often look here to validate your skills.

What are the common mistakes to avoid in a tech interview?

Many candidates focus so heavily on technical questions that they overlook how they communicate, which is often where interviews quietly fall apart. Over-preparing memorised answers while neglecting to explain your thought process, listen actively, or engage with the interviewer can make you seem less collaborative than you really are.

Avoid these common pitfalls:

• Using jargon without explaining it in simple terms, especially when speaking to recruiters or non-technical interviewers.
• Forgetting to ask thoughtful questions at the end of the interview. Remember to ask about the team, tech stack, roadmap, or learning opportunities.
• Ignoring basic professional courtesies such as being on time, checking your audio/video setup, and following up with a short, polite thank-you note.
• Speaking negatively about past employers or colleagues, which can raise red flags about how you handle conflict.
• Mentioning things that are not relevant to the question or going off-tangent.
  
  

How can I improve my interviewing skills for tech interviews?

Think of interviewing as a skill you can train, not just a hurdle you have to survive. Start by structuring your preparation: schedule regular practice sessions for coding problems, system design (if relevant), and behavioural questions, rather than cramming everything into the week before an interview.

A few practical tips to build confidence:

• Record yourself answering common behavioural questions using the STAR method (Situation, Task, Action, Result), then refine your answers so they’re clear and concise.
• Do mock interviews with friends, peers from your course or bootcamp, or via online platforms that pair you with other candidates for practice.
• Create a simple “interview playbook” for yourself: key projects you’ll talk about, a few go-to stories that show adaptability and problem-solving, and a list of questions you’ll ask every interviewer.
• Practise speaking your thought process aloud while solving problems so it feels natural on the day.
  
  

Are there any popular coding challenge websites I can use for practice?

Yes, there are several well-known platforms used by candidates worldwide to prepare for coding interviews. Each has a slightly different style, so you can pick what suits your learning style.

• LeetCode: One of the most popular sites for interview-style problems, especially algorithms and data structures, with questions often similar to those used by big tech companies.
• HackerRank: Great for beginners and intermediate learners, with structured tracks in algorithms, data structures, SQL, AI, and more.
• CodeSignal: Offers practice questions and timed assessments in an environment similar to real technical tests used by employers.
• Codewars: Gamified “kata”-style problems that help you build fluency and experiment with different languages in a fun way.
• Exercism or freeCodeCamp: Excellent for guided learning, code reviews, and building broader skills alongside challenges.

You don’t need to use all of them. Choose one or two. Then, you can set a realistic schedule, such as working on two to three problems a day and tracking your progress over time.

How do you stand out against other candidates?

In a competitive market, you stand out not just by knowing more, but by showing your commitment to structured learning and real-world application. Strong projects, a professional portfolio, and clear communication all help. However, recognised certifications can give you an additional edge, especially when you’re transitioning from another industry.

Certifications and upskilling signal to employers that you’ve met an external standard and invested seriously in your development. Providers such as Firebrand offer accelerated, hands-on courses and certifications across in-demand areas like cloud, cybersecurity, networking, and project management, which can help validate your skills and fill gaps in your CV.

Linking to relevant certifications you’ve completed and aligning them with the roles you’re applying for makes it easier for hiring managers to trust that you can hit the ground running.

When you combine the right certifications, a focused portfolio, and a clear narrative about your career change, you present yourself not as a “beginner,” but as a motivated professional who’s deliberately building a future in tech.

Check out Firebrand certifications