Beyond Technical Skills: How to Stand Out in Interviews as an Engineer

Date: 26th March
Time: 6pm
Location: Zoom

Software engineers – you’ve got the skills, but you’re not getting to the technical interview?Does this happen to you:

• you don’t pass the initial HR screening
• you never get the chance to show your technical knowledge
• you feel like you would crush the technical part, but you never reach it

In today’s job market, this happens more often than you’d think.
There are many candidates – and fewer opportunities.
Companies choose people who know how to present themselves – and yes, sometimes that can be frustrating.

If you’re an engineer who doesn’t naturally “sell” yourself, if it feels uncomfortable to talk about your achievements, or you simply don’t know how to translate your knowledge into a clear and compelling narrative – this webinar is for you.

At the webinar:
“Beyond Technical Skills: How to Stand Out in Interviews as an Engineer”
we’ll focus on how to:

✔️ clearly explain what you know and what you’ve worked on
✔️ present your projects in a way that shows impact
✔️ answer non‑technical questions that often determine whether you move on
✔️ leave an impression of confidence and competence, even if you’re not an extrovert
✔️ increase your chances of reaching the technical interview

If this sounds useful, join us for a free webinar on Thursday, March 26 at 6 PM.

                                                                                                                                                        

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Strong Understanding of SDLC and Software Engineering Best Practices

In the past few years, the hiring environment in tech has changed significantly. 

Not long ago, many engineers experienced a market where companies competed heavily for talent and interview processes were relatively straightforward. Today, the situation looks different. Hiring has slowed in many sectors, the number of applicants per role has increased, and interview processes have become more demanding and structured. 

Because of that shift, companies are paying closer attention to fundamentals. One phrase that appears repeatedly in job descriptions is “strong understanding of the Software Development Life Cycle (SDLC) and software engineering best practices.” 

For many candidates, this requirement sounds familiar, yet it is often underestimated. 

With the rise of AI-assisted development tools, writing or improving code has become easier in many cases. Tools can help generate code, refactor existing implementations, and accelerate parts of the development process. What has not become easier is understanding how software moves from idea to production and continues to operate reliably after release. 

In other words, tools can assist with writing code, but they cannot replace an engineer’s understanding of how systems are designed, tested, delivered, and maintained within a real team environment. 

Understanding SDLC is therefore not just theoretical knowledge. It is a signal that a candidate can operate effectively within a structured engineering environment. 


What SDLC knowledge and understanding actually means 

The Software Development Life Cycle describes the structured process through which software moves from idea to production and ongoing maintenance. While specific frameworks may differ between companies, the core stages are usually similar. 

A strong candidate should understand how engineering work progresses through stages such as: 

  • Requirements definition– understanding business problems, translating them into technical requirements, and clarifying scope before coding begins
  • System and architecture design – choosing appropriate architectures, defining system components, and considering scalability, reliability, and maintainability
  • Implementation – writing clean, maintainable code aligned with established engineering standards
  • Testing and quality assurance – ensuring the system works as intended through automated tests, integration tests, and validation processes
  • Deployment – releasing software safely through CI/CD pipelines and release management practices
  • Maintenance and iteration – monitoring systems, fixing defects, and continuously improving the product 

Candidates who understand these phases demonstrate that they can think beyond their own code and consider the lifecycle of the entire system. 

However, the mindset they demonstrate during interviews is just as important. 

Strong candidates can clearly explain how a feature moves from idea to development, release, and monitoring. They describe their involvement across that process and show awareness of how their work fits into the broader delivery cycle. 

Candidates who lack this understanding often struggle to explain what happens after they commit their code or how deployments actually work in their team environment.


Software engineering best practices companies expect 

Alongside SDLC knowledge, employers look for familiarity with practices that ensure engineering quality and collaboration across teams. 

These typically include: 

  • Version control workflows such as Git branching strategies
  • Code review practices that improve quality and share knowledge across teams
  • Automated testing including unit, integration, and end-to-end testing
  • CI/CD pipelines that automate build, test, and deployment processes
  • Documentation and knowledge sharing to ensure systems remain maintainable
  • Observability and monitoring to detect issues in production environments 

These practices exist for one reason: large-scale systems require discipline. Companies want engineers who understand why these practices exist, not just how to execute individual tasks. 

Strong candidates usually describe their involvement in refinement, planning, and design rather than simply “picking up tickets.” They explain how they collaborate with the team to shape solutions and maintain delivery quality. 

Weaker candidates tend to describe work in isolation. Their explanations often sound like “I just code my part” or “QA handles testing.” 

Strong candidates can also explain how they keep code maintainable and testable. They talk about code structure, naming conventions, testing strategies, and the role of code reviews in maintaining quality. 

Less prepared candidates often struggle to describe how they estimate work, plan implementation, or deal with uncertainty in requirements.


How interviewers actually test SDLC understanding

Interviewers rarely assess SDLC knowledge through theoretical questions. Instead, they explore it through practical, scenario-based discussions. 

For example, they may ask questions such as: 

  • How do you approach breaking down a new feature before implementation?
  • What testing strategy would you use for this component?
  • How would you handle a failed deployment?
  • How do you ensure code quality within a team? 

Candidates who focus only on coding solutions often struggle with these questions. Strong candidates demonstrate awareness of the broader engineering process and the collaboration required to deliver software reliably. 

Many of these topics are explored through situational questions, where candidates are expected to describe real experiences. These questions are often best answered using the STAR method (Situation, Task, Action, Result). 

This means preparation matters. 

The days of simply “going to an interview and showing what you know” are largely behind us. Today, candidates are expected to demonstrate concrete examples of how they applied their knowledge in real situations. 

Without preparation, even experienced engineers may struggle to recall strong examples during the interview. 


What candidates should prepare 

If you are preparing for software engineering interviews today, it is worth revisiting these fundamentals. 

Practical preparation may include: 

  • Reflecting on how your previous projects followed the SDLC stages
  • Understanding the engineering practices used by modern teams
  • Being able to explain your role within a larger delivery process
  • Demonstrating awareness of quality, testing, and deployment considerations 

Even experienced engineers sometimes realize that they have worked within these processes for years but have never explicitly articulated them. 

It is also useful to reflect on how you typically describe your work. 

If you recognize patterns such as: 

  • Using detached phrasing like “PM gives me tasks” or “someone else deploys it”
  • Dismissing process discussions (“I don’t care about Jira”, “DevOps handles that”)
  • Not mentioning testing, code review, documentation, or CI/CD when describing delivery
  • Blaming process gaps instead of explaining how issues are raised or resolved 

this may indicate that your understanding of the broader engineering process needs strengthening. 

By contrast, strong candidates naturally describe practices such as: 

  • Maintaining code quality through structure, naming conventions, reviews, and testing
  • Using CI/CD pipelines and validation environments before releases
  • Raising risks or blockers early and ensuring transparency within the team
  • Connecting technical decisions with delivery outcomes
  • Actively giving and receiving feedback through code reviews 

The current hiring environment has placed renewed focus on engineering discipline. Companies are looking for professionals who understand not only how to write code, but how software is built and maintained in complex team environments. 

For candidates, demonstrating a strong understanding of SDLC and engineering best practices is therefore more than a checkbox in a job description. 

It signals that a candidate is ready to contribute to stable, scalable, and well-managed engineering systems from day one.

AI Engineering Webinar

Date: 26th February
Time: 6pm
Location: Zoom

In this webinar series organized by Jaka Lounge, we explore how AI is transforming the way we work, make decisions, design systems, and build products. We focus on the shift in mindset and workflows within engineering, product, and technology teams.

The first online webinar in the series opens with the topic that is shaking the software industry the most – “The era of humans writing code is over.” Mr. Mateja Opačić, Education Manager & Software Architecture Consultant at KupujemProdajem, will speak about what engineering teams really look like when AI generates the code.

Who is this webinar for?

For everyone — from recent software engineering graduates, experienced developers and engineers, to tech leads, architects, CTOs, and engineering managers who want to understand how AI is used in a serious, engineering‑driven way.

What you will take away from this webinar

AI can generate all the code, but the quality of that code is questionable. This is where the difference between “vibe coding” and a true engineering approach becomes critical.

We will cover:

  • What AI can do, where it fails, and how to handle those failures
  • What tools exist and how to choose the right one
  • The role of Software Engineers in the age of AI and what lies ahead
  • Which knowledge and skills matter more than before AI‑generated code
  • What is required for applying AI to an existing codebase
  • How to build applications entirely with the help of AI — the engineering way
  • What prerequisites are needed to fully leverage new AI‑driven capabilities

The internet is flooded with opinions — from those excited about “vibe coding” without having worked on real application development, to experts who resist change and refuse to adopt new technologies. We are overwhelmed with inaccurate or incomplete information, and very few true experts are speaking about this topic. The world is changing, and whether we like it or not, more and more code will be created with AI.

Those who learn how to correctly use and guide AI will be far more productive than today’s developers — and they will be the most sought‑after talent on the market. This is a major opportunity for anyone willing to learn and adapt.

Participation is free. The number of seats is limited.
Interns and juniors are welcome to attend and share their CVs for future hiring opportunities.

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Structured Behavioral Interview: What It Is and Why It Has Become a Standard in Modern Selection

The labor market has seen a noticeable shift in recent years — today we have more high‑quality, competent, and well‑prepared professionals than ever before. Candidates come with stronger experience, more advanced skills, and a greater readiness to take ownership. For that reason, companies are increasingly looking for ways to clearly distinguish between candidates who are truly the best fit for a specific role and those who simply leave a strong initial impression.

In such a competitive environment, recognizing nuances becomes essential, and one of the most reliable ways to make that fine distinction is the structured behavioral interview. This format allows employers to identify, within a market full of strong candidates, those whose work style, behaviors, and approach truly match the specifics of the role and the organizational culture. As a result, it has become an almost inevitable part of every serious selection process today. 

Structured behavioral interviews make it easier for employers to accurately assess candidates.

What Is a Structured Behavioral Interview?

A structured behavioral interview is based on a simple principle:
the best predictor of future behavior is real, concrete behavior from the past.

 While traditional interviews often involve general questions, behavioral interviews ask about actual experiences. Instead of the vague “How would you react?”, the focus is on “Tell me about a time when you…”. 

What makes this format structured is that: 

  • all candidates receive a similar set of questions, 
  • the same questions assess the same competencies, 
  • evaluation is based on predefined criteria, rather than subjective impressions. 

The result is greater consistency and fairness in the selection process. 

What the Process Looks Like — and How It Differs from a “Classic” Interview 

If you’ve never encountered this type of interview, you may not know the best way to respond to such questions. The essence lies in using the STAR method, which helps candidates structure their answers clearly, concretely, and in an evaluable way.

The STAR methodology (Situation – Task – Action – Result) helps the candidate present a real example from past experience: 

  • Situation: the context 
  • Task: the role and responsibility 
  • Action: what was done specifically 
  • Result: the outcome and what was learned 

Compared to traditional interviews that can easily drift into informal conversation, this process is focused, predictable, and uniform. However, it does require preparation — recalling different real‑life work situations and how one responded to them. 

Why Has This Interview Become the Standard? 

Companies around the world — and increasingly in our region — adopt this method because it: 

  • increases hiring predictability, 
  • reduces risk and subjectivity, 
  • enables easier comparison between candidates, 
  • reveals true skills and behaviors, 
  • provides a fair and transparent process. 

At a time when there are many strong candidates but also more misleading profiles, this method provides a clearer picture and a more accurate selection. 

Clear Methodology That Requires Preparation 

What makes structured behavioral interviews especially effective is the clarity of the methodology and well‑defined expectations. There is little room for improvisation — evaluations are based on real experience, not theoretical opinions.Since questions revolve around real business situations, examples must be:

  • concrete, 
  • relevant to the competency, 
  • clearly explained, 
  • directly connected to the question. 

A competency represents a combination of knowledge, skills, behaviors, and ways of thinking that lead to successful performance. It is not measured by what a candidate claims they can do, but by what they have actually done and how they behaved in real situations. 

General answers do not provide enough information for evaluation. This is why the method requires candidates to reflect, before the interview, on situations from their professional experience that illustrate key competencies. Preparation does not mean memorizing answers but rather understanding how this structure works and how an example is built through a logical sequence of events. 

This process benefits not only employers but also candidates, helping them articulate their experience more accurately. 

What a Good Answer Looks Like — and What a Bad One Looks Like 

Poorly Structured Answer 

Question: “Tell me about a time when you had to solve a challenge under a tight deadline.” 

 “Well, I always work well under pressure and I often have deadlines. I try to stay organized and finish everything on time.” 

Why is it bad? 

  • no concrete situation 
  • no task defined 
  • no action 
  • no result 
  • nothing that can be evaluated 

If you choose to give this kind of answer, it is very likely that you won’t move forward to the next stage of the interview. The interviewer won’t have any evidence that you have actually dealt with a problem under a tight deadline, whereas candidates who describe a concrete situation will have a clear advantage. 

Well‑Structured Answer 

Same question. 

“During a project last year, the client moved the delivery deadline three days earlier (Situation). My task was to reorganize the team and ensure we delivered without compromising quality (Task). I analyzed the activities, redistributed responsibilities, introduced short daily stand‑ups, and personally took on the most complex part of the work (Action). The project was delivered on time, the client was extremely satisfied, and the method we used became our standard approach for urgent deadlines (Result).” 

Why is it good? 

  • clear, concrete, evaluable 
  • shows ownership 
  • highlights action and outcome 
  • answers exactly what was asked 

Who Benefits Most from This Approach?

This interview format benefits both employers and candidates. Companies gain a more precise insight, while candidates receive a fair opportunity to demonstrate actual experience. As professional practices mature, it’s increasingly clear that concrete examples reflect competencies far better than general statements. 

How to Prepare for a Structured Behavioral Interview 

First, carefully read the job description and identify the competencies required. These are not always presented as simple traits like “problem‑solving” or “working under pressure,” but often embedded within technical or experiential requirements. 

In job postings, competencies are often “hidden” behind descriptions of experience and technical requirements. For example, items such as “proven experience in designing and implementing distributed systems,” “experience balancing modernization of existing systems with the need for stability,” or “ability to influence without authority” do not describe only what someone has done, but how they think, make decisions, and operate in complex situations. That is precisely what a competency represents. 

For instance, a requirement related to balancing modernization and stability contains multiple competencies within it: risk assessment, decision‑making under uncertainty, prioritization, systems thinking, and communication with various stakeholders. A behavioral interview therefore won’t evaluate only whether the candidate has worked on a similar project, but how they approached it, what decisions they made, and what the consequences of those decisions were. 

It is then important to identify one or two concrete situations from your professional experience for each key competency. If the job description, for example, requires stakeholder management and the ability to influence without formal authority, think of a real situation in which you had to align different interests, make a decision, or persuade others to take the direction you believed was right. 

The next step is to break these examples down—mentally or on paper—using the STAR structure: what the situation was, what your task was, which actions you took, and what the result was. This helps ensure that your answer is clear, focused, and relevant for evaluation. 

Finally, it is useful to practice your answers. Not in the sense of memorizing them, but by practicing how you speak about your experience: staying concrete, avoiding general statements, and clearly highlighting your role and contribution. Good preparation increases a candidate’s confidence and significantly improves the quality of their responses. 

Experience shows that candidates who invest more time in preparation achieve better results in interviews. It is no coincidence that Google and other leading companies have adopted this assessment method. More and more organizations rely on structured behavioral interviews because they provide a more realistic picture of how someone actually works.