As a Software Engineer at GEN, you are at the heart of building solutions that protect, empower, and simplify the digital lives of millions of users globally. You will work on sophisticated platforms that require a blend of high-performance backend engineering, data integrity, and a deep focus on security and reliability. Whether you are optimizing core infrastructure or developing new features for flagship consumer products, your work directly influences the safety and digital experience of our user base. This role demands more than just technical proficiency; it requires a mindset geared toward scalability, clean code, and user-centric design. You will operate within cross-functional teams, collaborating closely with product managers, QA engineers, and security specialists to solve complex technical challenges. Success at GEN means you are comfortable navigating ambiguity, taking ownership of your technical domain, and contributing to a culture of continuous improvement and engineering excellence.
Initial Screening
reportedThe process begins with an initial screening by a recruiter to assess your fit for the role.
What to demonstrate
- The process begins with an initial screening by a recruiter to assess your fit for the role
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Be able to walk your CV end to end in two minutes, and say why this company specifically.
- Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Technical Evaluations
reportedCandidates undergo in-depth technical assessments to evaluate their theoretical knowledge and practical skills.
What to demonstrate
- Candidates undergo in-depth technical assessments to evaluate their theoretical knowledge and practical skills
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Answer aloud and timed: Can you explain the practical application of SOLID principles in your recent projects?
- Answer aloud and timed: What is your experience with regex and string manipulation in Python?
Multiple Technical Rounds
reportedFor some roles, candidates may face multiple technical rounds with different team members to assess versatility.
What to demonstrate
- For some roles, candidates may face multiple technical rounds with different team members to assess versatility
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Answer aloud and timed: How do you approach debugging a complex issue in a live production app?
- Answer aloud and timed: Solve a given problem using data structures and algorithms (typically ranging from easy to medium complexity).
PracHub editorial advice for the preparation topics above.
Prioritize Communication
When solving problems, think out loud. Interviewers at GEN are interested in your thought process as much as the final code.
Master the Basics
Do not overlook "easy" or "basic" concepts. Many interviews focus on core fundamentals rather than obscure, complex algorithms.
Prepare Questions for Them
Always have thoughtful questions ready about the team's culture, their current technical challenges, and how they define success for the role.
Review Your Resume
Be prepared to dive deep into every project you have listed. If you mention a tool or technology, be ready to discuss it in depth.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Solve a given problem using data structures and algorithms (typically ranging from easy to medium complexity).
Solve a given problem using data structures and algorithms (typically ranging from easy to medium complexity).
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Given a specific coding task, implement a solution that balances performance with readability.
Given a specific coding task, implement a solution that balances performance with readability.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Explain your thought process while live-coding a solution during a screen-share session.
Explain your thought process while live-coding a solution during a screen-share session.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Write a SQL query to extract or manipulate data from a relational database.
Write a SQL query to extract or manipulate data from a relational database.
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Keep soft-deleted accounts from blocking re-registration
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
Explain the difference between black box and white box testing.
Explain the difference between black box and white box testing.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How do you ensure clean code and maintainable architecture in a production environment?
How do you ensure clean code and maintainable architecture in a production environment?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Can you explain the practical application of SOLID principles in your recent projects?
Can you explain the practical application of SOLID principles in your recent projects?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How do you approach debugging a complex issue in a live production app?
How do you approach debugging a complex issue in a live production app?
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Built from the rounds and topics GEN candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the GEN loop
- Write out the reported sequence: Initial Screening, Technical Evaluations, Multiple Technical Rounds.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Data Structures & Algorithms (DSA)
- Spend the session on Data Structures & Algorithms (DSA), which GEN candidates report being tested on.
- Write one worked example in Data Structures & Algorithms (DSA) and time yourself on it.
Deliverable: One timed worked example in Data Structures & Algorithms (DSA).
03Work SQL
- Spend the session on SQL, which GEN candidates report being tested on.
- Write one worked example in SQL and time yourself on it.
Deliverable: One timed worked example in SQL.
04Work Algorithms (coding problems)
- Spend the session on Algorithms (coding problems), which GEN candidates report being tested on.
- Write one worked example in Algorithms (coding problems) and time yourself on it.
Deliverable: One timed worked example in Algorithms (coding problems).
05Answer out loud: Technical & Domain Knowledge
- Answer aloud, timed: Explain the difference between black box and white box testing.
- Answer aloud, timed: How do you ensure clean code and maintainable architecture in a production environment?
Deliverable: Spoken answers to 2 reported Technical & Domain Knowledge question(s), under time.
06Answer out loud: Coding & Algorithms
- Answer aloud, timed: Solve a given problem using data structures and algorithms (typically ranging from easy to medium complexity).
- Answer aloud, timed: Write a SQL query to extract or manipulate data from a relational database.
Deliverable: Spoken answers to 2 reported Coding & Algorithms question(s), under time.
07Answer out loud: Behavioral & Experience
- Answer aloud, timed: Walk me through a challenging project from your past experience and your specific contribution to it.
- Answer aloud, timed: Describe a time you had to resolve a technical disagreement with a team member.
Deliverable: Spoken answers to 2 reported Behavioral & Experience question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
What is your experience with regex and string manipulation in Python?
What is your experience with regex and string manipulation in Python?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Walk me through a challenging project from your past experience and your specific contribution to it.
Walk me through a challenging project from your past experience and your specific contribution to it.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe a time you had to resolve a technical disagreement with a team member.
Describe a time you had to resolve a technical disagreement with a team member.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you prioritize your tasks when working on multiple high-priority deliverables?
How do you prioritize your tasks when working on multiple high-priority deliverables?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Tell me about a time you identified a critical bug or performance bottleneck—how did you address it?
Tell me about a time you identified a critical bug or performance bottleneck—how did you address it?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
What is your experience with regex and string manipulation in Python?
- 02
Walk me through a challenging project from your past experience and your specific contribution to it.
- 03
Describe a time you had to resolve a technical disagreement with a team member.
- 04
How do you prioritize your tasks when working on multiple high-priority deliverables?
How long does the typical interview process take?
The duration can vary significantly, ranging from a few weeks to over a month. It depends on the team's hiring urgency and the number of interview rounds required for the specific seniority level.
GEN Software Engineer candidate reports ↗Are there whiteboard coding rounds?
Depending on the location and format, you may face live coding sessions via screen share or, less frequently, in-person tasks. Always be prepared to explain your logic clearly while you write code.
GEN Software Engineer candidate reports ↗How can I stand out to the hiring team?
Demonstrate a clear understanding of the business impact of your work. Don't just explain *how* you coded something; explain *why* you chose that approach and how it benefited the user or the team.
GEN Software Engineer candidate reports ↗Is the technical test always the same?
No, technical tests are tailored to the role and the team's current focus. Expect a mix of standard algorithm questions and domain-specific challenges related to the team's product area.
GEN Software Engineer candidate reports ↗What is the interview process like at GEN for a Software Engineer role?
The process typically starts with an initial recruiter screening to assess your fit for the role. After that, you can expect in-depth technical evaluations, which may include multiple technical rounds with different team members. Some candidates also report live coding or screen-share sessions where you explain your logic while you type.
GEN Software Engineer candidate reports ↗How hard are GEN Software Engineer interviews, and what is the usual difficulty level?
Based on candidate-reported experience, the most common difficulty level is average for GEN Software Engineer interviews. The technical assessments are still described as in-depth, with a mix of coding and technical discussions to test both practical skills and theoretical knowledge.
GEN Software Engineer candidate reports ↗What technical topics do GEN test for Software Engineer interviews?
You should be ready for Data Structures and Algorithms (DSA) and coding problems, plus SQL queries to extract or manipulate data. Testing is also a recurring focus, including black-box and white-box testing, along with test or QA fundamentals. For system design, the guide frames it as an intro or brief, and JavaScript is among the listed top topics.
GEN Software Engineer candidate reports ↗What types of questions should I expect at GEN for a Software Engineer role?
You may be asked to apply SOLID principles and to prioritize multiple deliverables in behavioral scenarios. On the technical side, expect questions that involve explaining black box versus white box testing, solving coding problems with data structures and algorithms, and writing or working through SQL queries. Live coding is also part of the pattern, so practice speaking through your thought process as you implement solutions.
GEN Software Engineer candidate reports ↗What should I prioritize when preparing for GEN Software Engineer interviews?
Prioritize core DSA, efficient and readable coding, and SQL proficiency, since these are repeatedly listed among the top topics and coding and evaluation areas. Also prepare a testing mindset covering black-box and white-box approaches, plus test and QA fundamentals. During live or screen-share coding, the guide emphasizes clarifying requirements, discussing trade-offs, and explaining your logic out loud before and while you write code.
GEN Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01GEN Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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