As a Software Engineer at Brellium, you will play a pivotal role in shaping the technology that drives our innovative solutions. This position is critical in developing scalable, high-performance applications that enhance user experience and deliver value to our clients. You will work closely with cross-functional teams to design, implement, and optimize software solutions that address complex business challenges. The impact of your work at Brellium extends beyond mere coding. You will contribute to significant projects that involve data manipulation, feature-rich software development, and system integration, all while adhering to best practices in software engineering. The dynamic nature of this role allows you to engage with cutting-edge technologies and methodologies, fostering an environment ripe for innovation and professional growth. Your contributions will directly influence our product line, enhancing our market position and user satisfaction. As you navigate through various problem spaces, you will have the opportunity to leave a lasting imprint on the technology landscape within. Brellium
Recruiter Call
reportedInitial call to discuss your background and assess fit for the role.
What to demonstrate
- Initial call to discuss your background and assess 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.
Behavioral Interviews
reportedInterviews exploring your past experiences and alignment with Brellium's values.
What to demonstrate
- Interviews exploring your past experiences and alignment with Brellium's values
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the behavioral interviews above and write down what you would ask to confirm before it.
Technical Interviews
reportedCoding assessments and discussions about your problem-solving approach.
What to demonstrate
- Coding assessments and discussions about your problem-solving approach
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Answer aloud and timed: Discuss a challenging technical problem you've solved in the past.
- Answer aloud and timed: Tell me about a time you faced a significant challenge in a project.
Onsite Interview
reportedFinal stage involving system design questions and deeper behavioral inquiries.
What to demonstrate
- Final stage involving system design questions and deeper behavioral inquiries
- Depth in Data Structures & Algorithms (DSA)
How to prepare
- Answer aloud and timed: How do you prioritize tasks when working on multiple projects?
- Answer aloud and timed: Describe a situation where you had to work with a difficult team member.
PracHub editorial advice for the preparation topics above.
Prepare for Behavioral Questions
Be ready to discuss your experiences in detail. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
Clarify Requirements
Don’t hesitate to ask clarifying questions during technical assessments. This shows your analytical skills and willingness to engage.
Practice Coding Live
Familiarize yourself with coding platforms that mimic the interview environment, as you may be asked to code live using shared screens.
Show Enthusiasm
Express genuine interest in the projects and technologies at Brellium. Passion for the work can be a differentiator.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
How do you manage memory in your applications?
How do you manage memory in your applications?
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
Write a function to reverse a linked list.
Write a function to reverse a linked list.
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 the difference between depth-first search and breadth-first search.
Explain the difference between depth-first search and breadth-first search.
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 string, implement a function to check if it is a palindrome.
Given a string, implement a function to check if it is a palindrome.
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 code to find the maximum subarray sum.
Write code to find the maximum subarray sum.
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?
Discuss how you would approach optimizing a given algorithm.
Discuss how you would approach optimizing a given algorithm.
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?
Replace offset paging on the resource feed with keyset
resource holds resource_id, tenant_id, owner_user_id, title, body_ref, version, status ('draft','active','archived','deleted'), created_at, updated_at, deleted_at, with an index on (tenant_id, status, updated_at DESC, resource_id DESC). The listing endpoint returns active resources for one tenant, newest update first, 50 per page, today with LIMIT 50 OFFSET n. Tenants reach page 400 and rows are created while they read. Write the keyset query, define what the cursor carries and how it is encoded, and say which part of the index each predicate uses. Assume PostgreSQL 16.
Approach
- Name the two failures separately. OFFSET 20000 makes the server produce and discard 20,000 rows, so page cost grows with depth rather than with page size. Independently, any write that changes how many rows sort above the offset moves the window between two fetches, and the direction decides which anomaly you get: an insert lands at the head of updated_at DESC and pushes already-returned rows down past the boundary, so they are returned a second time; a delete above the offset, or a row whose updated_at is bumped above the cursor, pulls rows up and one is never returned at all. Nothing in the response reveals either.
- Write the seek: WHERE tenant_id = $1 AND status = 'active' AND (updated_at, resource_id) < ($2, $3) ORDER BY updated_at DESC, resource_id DESC LIMIT 50. The row-value comparison is one index range rather than a disjunction, and both columns are NOT NULL, which is what makes that comparison well defined.
- Map each predicate onto the index: tenant_id and status are equality on the leading columns, (updated_at, resource_id) is the range, and the ORDER BY matches the index order so no Sort node appears and the scan stops after 50 rows. The DESC in the definition only matters for mixed directions — a plain ascending btree on the same columns is read backwards for this query.
- Put both sort columns in the cursor and nothing the client can tamper with into another tenant: base64 of (updated_at, resource_id), validated server-side, with tenant_id taken from the principal.
Follow-up
- The client asks for 'jump to page 400'. What do you offer instead, and what does the honest version cost?
- Sort order becomes user-selectable across four columns. How many indexes is that, and which would you refuse to add?
Stop tag and share joins from fanning out a page
resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.
Approach
- Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
- Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
- Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
- Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.
Follow-up
- The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
- A resource can be shared with the same user twice under different permissions. Does your count change, and should it?
Can you explain the principles of RESTful API design?
Can you explain the principles of RESTful API design?
Approach
- Say who the caller is and what they do when the call fails halfway.
- Define the identity of a request so a retry cannot double-apply it.
- Separate accepted, pending, failed and confirmed; they are different facts.
- Design the error taxonomy before the success shape; callers branch on it.
Follow-up
- What happens if the caller retries after a timeout?
- How does a client discover it is on an old version of this contract?
Discuss a challenging technical problem you've solved in the past.
Discuss a challenging technical problem you've solved in the past.
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?
Read latency spikes on a sixty-second sawtooth
The cached listing read path serves about 14k reads/second at an 85% hit rate. p99 sits at 35 ms for 57 seconds, jumps to 900 ms for 3, and repeats. During each spike the primary shows several hundred identical listing queries starting within the same millisecond, all carrying one large tenant's id. Cache entries use a 60-second TTL. Give the mechanism, the ordered checks, the fix, and the correctness hazard your fix must not introduce.
Approach
- Match the period to a configured number before theorising about load. A spike every 60 seconds against a 60-second TTL is an entry expiring, and you confirm it by correlating spike timestamps with the entry's write time rather than with the traffic curve. If the period had matched a cron or a GC interval instead, this is a different investigation.
- Establish the concurrency of the miss. Several hundred identical queries in one millisecond means the miss path has no coalescing: every request that arrives between expiry and repopulation recomputes. The herd size is that key's arrival rate times its recompute time, so at 1.2k reads/second for the hot key and a 250 ms recompute you expect about 300 concurrent misses, which matches what is observed.
- Add single-flight on the miss path so one caller per key recomputes under a short-lived lock while the rest wait for its result. Prefer stale-while-revalidate where the read tolerates it: return the expired value immediately and refresh asynchronously, which removes the latency spike rather than serialising it into a queue of waiters.
- De-synchronise the keys. Write TTLs with jitter, for example 60 seconds plus or minus 10%, so a deploy or a mass invalidation does not align every key on the same second and turn a per-key herd into a fleet-wide one.
Follow-up
- The same sawtooth appears on a key that is invalidated on write rather than expired. Is that the same bug?
- How does your answer change if the recompute takes 4 seconds instead of 250 ms?
Built from the rounds and topics Brellium candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Brellium loop
- Write out the reported sequence: Recruiter Call, Behavioral Interviews, Technical Interviews, Onsite Interview.
- 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 4 reported rounds, with the weakest marked.
02Work Data Structures & Algorithms (DSA)
- Spend the session on Data Structures & Algorithms (DSA), which Brellium 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 Technical Interviewing
- Spend the session on Technical Interviewing, which Brellium candidates report being tested on.
- Write one worked example in Technical Interviewing and time yourself on it.
Deliverable: One timed worked example in Technical Interviewing.
04Work DFS (Depth-First Search)
- Spend the session on DFS (Depth-First Search), which Brellium candidates report being tested on.
- Write one worked example in DFS (Depth-First Search) and time yourself on it.
Deliverable: One timed worked example in DFS (Depth-First Search).
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Describe your experience with object-oriented programming.
- Answer aloud, timed: How do you manage memory in your applications?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: Behavioral / Leadership Questions
- Answer aloud, timed: Tell me about a time you faced a significant challenge in a project.
- Answer aloud, timed: How do you prioritize tasks when working on multiple projects?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership Questions question(s), under time.
07Answer out loud: Coding / Algorithms
- Answer aloud, timed: Write a function to reverse a linked list.
- Answer aloud, timed: Explain the difference between depth-first search and breadth-first search.
Deliverable: Spoken answers to 2 reported Coding / Algorithms 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.
Describe your experience with object-oriented programming.
Describe your experience with object-oriented programming.
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?
What is your experience with cloud computing platforms?
What is your experience with cloud computing platforms?
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 faced a significant challenge in a project.
Tell me about a time you faced a significant challenge in a project.
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 tasks when working on multiple projects?
How do you prioritize tasks when working on multiple projects?
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 situation where you had to work with a difficult team member.
Describe a situation where you had to work with a difficult 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?
What motivates you as a software engineer?
What motivates you as a software engineer?
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 handle feedback and criticism?
How do you handle feedback and criticism?
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
Describe your experience with object-oriented programming.
- 02
What is your experience with cloud computing platforms?
- 03
Tell me about a time you faced a significant challenge in a project.
- 04
How do you prioritize tasks when working on multiple projects?
How difficult are the interviews, and how much preparation time is typical?
The interviews are designed to be challenging but fair. Candidates typically spend 2-4 weeks preparing, focusing on both technical skills and behavioral questions.
Brellium Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates demonstrate a strong technical foundation, effective problem-solving skills, and a clear alignment with Brellium's values of collaboration and innovation.
Brellium Software Engineer candidate reports ↗What is the culture and working style at Brellium?
Brellium fosters a collaborative and innovative environment where teamwork is valued. Engineers are encouraged to share ideas and work together to solve complex problems.
Brellium Software Engineer candidate reports ↗What is the typical timeline from initial screen to offer?
The timeline can vary, but candidates can expect to hear back within a week after each interview stage. The entire process often takes 3-4 weeks.
Brellium Software Engineer candidate reports ↗Are there options for remote work or hybrid expectations?
Brellium supports a flexible work environment, with opportunities for remote work depending on team structure and project needs.
Brellium Software Engineer candidate reports ↗How many rounds are in Brellium’s Software Engineer interview process?
For a Brellium Software Engineer role, the process includes a recruiter call, behavioral interviews, technical interviews, and a final onsite interview. The onsite stage can include system design questions and deeper behavioral inquiries.
Brellium Software Engineer candidate reports ↗How difficult is it to get an offer for a Brellium Software Engineer role?
Candidates report the overall difficulty as average for Brellium Software Engineer interviews.
Brellium Software Engineer candidate reports ↗What topics does Brellium test for Software Engineer coding and technical interviews?
Brellium’s Software Engineer interviews focus on data structures and algorithms, live coding, edge case handling, and implementation skills. Graph and traversal come up specifically, with DFS listed among the top topics, and system design is also part of the evaluation, especially in the onsite stage.
Brellium Software Engineer candidate reports ↗What kinds of questions appear for Brellium Software Engineer interviews?
You can see questions like "Graph Traversal with DFS" and "Resolving a High-Stakes Technical Problem" in the public sample set. Expect technical evaluation through coding and problem-solving style questions, alongside behavioral questions about past experience.
Brellium Software Engineer candidate reports ↗What does Brellium evaluate in Software Engineer interviews besides coding?
Interviews cover culture fit and alignment through behavioral questions, plus problem-solving ability in how you structure your approach. Technical proficiency is assessed through your ability to apply software development principles and explain design decisions during coding and system design discussions.
Brellium Software Engineer candidate reports ↗How much does a Software Engineer at Brellium make, and what determines pay?
The supplied information does not include any compensation figures for Brellium Software Engineer roles, so you should not rely on pay numbers from this dataset. Candidate-reported outcomes also do not provide level-specific or location-specific compensation details here.
Brellium 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.
- 01Brellium 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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