How to Conduct Technical Interviews in English

Conducting a technical interview in English requires more than just understanding the candidate’s answers — you need precise language to ask probing questions, signal expectations, and deliver fair feedback. Whether you are a senior engineer, a tech lead, or an engineering manager, mastering interview English will help you assess candidates more accurately and represent your team professionally.

Opening the Interview

A strong opening sets the tone and helps the candidate feel comfortable. Use structured, professional phrases to begin.

• “Thanks for taking the time to speak with us today. We’ll spend about an hour together — I’ll ask some technical questions, and you’ll have time to ask questions at the end.”
• “Feel free to think out loud as you work through problems — I’m interested in your reasoning, not just the final answer.”
• “There are no trick questions here. If you’re unsure, just walk me through your thinking.”

Key Vocabulary

Probe — to ask follow-up questions to explore a topic more deeply. “I’d like to probe a bit deeper into how you handled the database bottleneck.”

Calibration — the process of aligning scoring and expectations across interviewers. “After all interviews, we’ll hold a calibration session to compare our ratings.”

Signal — evidence from a candidate’s answer that indicates a skill or trait. “That answer gave me a strong signal on their system design thinking.”

Structured interview — an interview format where all candidates receive the same questions in the same order. “We use a structured interview process to reduce unconscious bias.”

Behavioural question — a question asking a candidate to describe a past experience (often starting with “Tell me about a time when…”). “Behavioural questions help us understand how a candidate has acted in real situations.”

Rubric — a scoring guide that defines what a good, acceptable, or poor answer looks like. “Before the interview, review the rubric so your scoring is consistent.”

Bar raiser — an interviewer whose role is to maintain hiring standards, often from outside the immediate team. “Our bar raiser flagged a concern about the candidate’s communication under pressure.”

Debrief — the post-interview discussion where interviewers share assessments. “Let’s schedule the debrief for 4 PM today while our impressions are still fresh.”

Phrases for Asking Technical Questions

Avoid vague or leading questions. Use precise language that opens up the candidate’s thinking.

• “Can you walk me through your approach to solving this problem?”
• “How would you design a system that needs to handle ten million users per day?”
• “What trade-offs did you consider when you chose that solution?”
• “Tell me about a time when you had to debug a critical production issue under time pressure.”
• “How would you explain this concept to a junior engineer on your team?”

Probing Follow-Up Phrases

When an answer is shallow or unclear, use follow-ups to dig deeper without leading the candidate.

• “That’s interesting — can you say more about why you chose that approach?”
• “What would happen if the data volume was ten times larger?”
• “You mentioned caching — how would you handle cache invalidation in that scenario?”
• “Was there another option you considered? Why did you rule it out?”
• “How did that decision turn out in practice?”

Calibration Language

During debrief sessions, use neutral, evidence-based language.

• “I’d rate this candidate a ‘strong hire’ based on their system design depth.”
• “I noticed a gap in their understanding of concurrency — let’s discuss whether that’s a blocker.”
• “My concern is that their answers were theoretically correct but lacked practical depth.”
• “Are we aligning on what ‘good’ looks like for this role?”

Giving Feedback After Interviews

When delivering feedback — especially rejection — use professional and constructive language.

• “We appreciated your time and found your experience impressive. However, we’re looking for a stronger background in distributed systems for this particular role.”
• “Your technical skills are solid, but we felt there were gaps in how you communicated complex ideas to non-technical stakeholders.”
• “We’d encourage you to apply again in six months — this feedback is about fit for this role, not your overall capability.”

Professional Tips

1. Avoid binary questions. Questions with yes/no answers give you little information. Prefer “How would you…” over “Can you…?”
2. Silence is normal. When a candidate pauses to think, do not rush them. It often signals careful reasoning.
3. Stay neutral. Avoid nodding enthusiastically or frowning — body language signals can bias candidates.
4. Document immediately. Write notes during or right after the interview, not from memory the next day.

Practice Exercise

1. You are interviewing a candidate for a backend engineering role. Write three probing follow-up questions you would ask after they say: “I’ve worked a lot with microservices.”
2. A candidate gives a technically correct but very brief answer. Write two phrases you would use to encourage them to elaborate without leading them.
3. At the debrief, a colleague says “I just didn’t like how they answered.” How would you redirect the conversation toward evidence-based assessment?

Refining Your Professional Vocabulary

Conducting a technical interview in English can be daunting, even for experienced developers. Beyond simply knowing the technical concepts – algorithms, data structures, system design – lies a crucial layer: effective communication. Many non-native speakers understandably focus heavily on accuracy and avoiding grammatical errors, which is important, but it’s equally vital to use language that’s naturally employed in a professional setting. It’s not about sounding perfect; it’s about being understood clearly and demonstrating competence. This often means utilizing specific phrasing and vocabulary that signal confidence, collaboration, and a proactive approach.

One area where many developers stumble is around giving feedback, particularly during code reviews. A common phrase you might hear – or want to use yourself – isn’t simply “This needs fixing.” Instead, try something like: “I noticed this section could be optimized for readability. Perhaps introducing a helper function here would improve maintainability and reduce complexity.” This demonstrates an understanding of the why behind the suggestion, not just stating a problem. Similarly, when explaining a design decision during an interview, avoid saying “This is how we did it.” A better approach: “We opted for this architecture because it offers greater scalability and allows us to easily integrate with our existing infrastructure.” The use of words like ‘opted’ and ‘allows’ adds a layer of professional justification.

Another frequently encountered situation is during a Pull Request description. Instead of a vague “Fixed bug,” consider: “This PR addresses the reported memory leak in the user authentication module. I’ve implemented a caching mechanism to mitigate future occurrences, and included unit tests to ensure functionality remains intact.” The level of detail—specifically mentioning what was fixed (memory leak) and how it was addressed (caching mechanism)—significantly elevates the description’s value. Furthermore, using phrases like “mitigate future occurrences” demonstrates an understanding of potential risks and proactive problem-solving.

Finally, remember that active listening is a critical component of both understanding questions and responding effectively. Don’t just hear what someone says; process it. A phrase like “Could you elaborate on the specific constraints you’re working with?” shows engagement and a desire for clarification – a sign of a thoughtful developer who prioritizes understanding the problem fully before attempting a solution. Focusing on these nuances in your language will dramatically improve your ability to navigate technical conversations and ultimately, showcase your skills to potential employers.