As a Software Engineer at iQor, you serve as a critical technical anchor within a global organization that manages complex customer interactions and business process outsourcing. You are not merely writing code; you are building the infrastructure and software solutions that enable iQor to deliver seamless, high-value experiences for its clients. Your work directly impacts how systems, servers, and hardware assets are managed, maintained, and optimized to support large-scale operations. This role requires a unique balance of technical depth and operational pragmatism. You will be expected to bridge the gap between abstract software requirements and the tangible hardware environments they support. Whether you are troubleshooting server performance, automating workflows, or developing solutions that directly improve customer satisfaction, your contributions are vital to maintaining the operational excellence that defines iQor.
Initial Screening
reportedConducted over the phone to assess your background and professional expectations.
What to demonstrate
- Conducted over the phone to assess your background and professional expectations
- Depth in IT Support / Production Support
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 Rounds
reportedInvolves one or more technical interviews focusing on hardware troubleshooting and past projects.
What to demonstrate
- Involves one or more technical interviews focusing on hardware troubleshooting and past projects
- Depth in IT Support / Production Support
How to prepare
- Answer aloud and timed: Describe your process for maintaining system uptime in a high-pressure environment.
- Answer aloud and timed: What is your approach to integrating new software solutions with legacy hardware systems?
Salary and Goals Discussion
reportedDiscuss your salary expectations and career goals early in the process.
What to demonstrate
- Discuss your salary expectations and career goals early in the process
- Depth in IT Support / Production Support
How to prepare
- Answer aloud and timed: How do you ensure data integrity when performing system updates or migrations?
- Answer aloud and timed: How do you handle a situation where a technical solution conflicts with a client’s immediate request?
PracHub editorial advice for the preparation topics above.
Prepare for the "Why
Don't just explain how you fixed a problem; explain why you chose that specific solution and how it benefited the user or the business.
Practice Troubleshooting
Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when discussing past technical challenges.
Be Transparent
Be clear about your experience levels with specific hardware or software systems. If you don't know something, express your willingness to learn it.
Research the Industry
Understanding the BPO (Business Process Outsourcing) industry will give you a significant advantage, as it helps you understand the high-stakes environment iQor operates in.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
How do you approach the challenge of maintaining high customer satisfaction while managing technical constrain
How do you approach the challenge of maintaining high customer satisfaction while managing technical constraints?
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?
If an onsite engineer reports a recurring hardware failure, what is your systematic approach to resolving it?
If an onsite engineer reports a recurring hardware failure, what is your systematic approach to resolving it?
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?
Describe your strategy for balancing competing priorities when multiple support requests arrive simultaneously
Describe your strategy for balancing competing priorities when multiple support requests arrive simultaneously.
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?
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?
Find version gaps and relay lag with window functions
outbox_event holds event_id, aggregate_type, aggregate_id, aggregate_version, event_type, payload, status ('pending','published','dead'), attempts, created_at, published_at. A projection is missing rows and you must decide whether the relay skipped events or the consumer dropped them. Write three queries over the last seven days: one listing every aggregate_id whose published aggregate_version sequence has a hole, one giving per-day counts with a running total, and one returning the newest published event per aggregate. For each, say where the window function is evaluated relative to WHERE and LIMIT. PostgreSQL 16.
Approach
- Gaps: compute lead(aggregate_version) OVER (PARTITION BY aggregate_id ORDER BY aggregate_version) in a subquery, then filter next_version <> aggregate_version + 1 in the outer query. Window functions are evaluated after WHERE, GROUP BY and HAVING and before the outer ORDER BY and LIMIT, so the predicate cannot sit in the same WHERE clause and PostgreSQL 16 has no QUALIFY.
- Say what the seven-day filter does to the answer: it truncates every partition, so the first row per aggregate has no predecessor inside the window and a hole spanning the boundary is invisible. Widen the window, or join to resource.version as the authority for the true maximum.
- Running total: SELECT date_trunc('day', created_at) AS d, count() AS n, sum(count()) OVER (ORDER BY date_trunc('day', created_at) ROWS UNBOUNDED PRECEDING). An aggregate inside a window call is legal because grouping runs before windowing. The grouping key is unique per row here so ROWS and RANGE agree, but write the frame anyway — over ungrouped rows with tied timestamps the default RANGE frame pulls in every peer row and the total jumps.
- Newest per aggregate: DISTINCT ON (aggregate_id) ... ORDER BY aggregate_id, aggregate_version DESC is the cheap PostgreSQL-only form when an index matches that order; row_number() OVER (PARTITION BY aggregate_id ORDER BY aggregate_version DESC) = 1 is the portable form and needs a subquery for the same evaluation-order reason as the gap query.
Follow-up
- Relay failover redelivers events. Does a duplicate break the gap query, and how would you detect one from this table alone?
- Turn the gap check into a continuous monitor rather than a query someone runs after an incident. What does it watch?
How do you diagnose a performance bottleneck in a server environment?
How do you diagnose a performance bottleneck in a server environment?
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?
Describe your process for maintaining system uptime in a high-pressure environment.
Describe your process for maintaining system uptime in a high-pressure environment.
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?
What is your approach to integrating new software solutions with legacy hardware systems?
What is your approach to integrating new software solutions with legacy hardware systems?
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?
How do you ensure data integrity when performing system updates or migrations?
How do you ensure data integrity when performing system updates or migrations?
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?
Listing latency scales with page size, not with filters
The tenant listing endpoint reads resource filtered by tenant_id and status, ordered by updated_at DESC, and returns each row plus the owner's display name from app_user and the actor of that resource's latest resource_revision. p99 is 55 ms at 10 rows per page and 1.4 s at 200. Database telemetry shows 401 statements per request, each under 1 ms, and nothing in the slow-query log. Diagnose the cause and give the fix, stating the statement count per request and the p99 you expect afterwards.
Approach
- Read the counters before forming a theory. 401 statements for 200 rows is one driver query plus two per row, and sub-millisecond execution with an empty slow-query log rules out a bad plan. The time is round trips, which is why it is invisible in every per-query metric and scales with rows returned rather than with filter selectivity.
- Name the two per-row statements from their normalised text: a single-row app_user lookup by user_id, and a resource_revision lookup by resource_id ordered by version DESC LIMIT 1. Confirm by dropping those two response fields and watching the statement count fall to one. That locates the calls in the serialisation layer, not the repository.
- Check that the arithmetic accounts for the whole gap. Measure one round trip to the replica in isolation; 400 trips at roughly 3 ms of network plus 0.2 ms of execution is about 1.3 s on top of a 55 ms baseline, which matches. If the multiplication had fallen short, the N+1 would only be part of the story and you would keep looking.
- Batch both lookups. Collect owner_user_ids and resource_ids from the driver query, then issue WHERE tenant_id = $1 AND user_id = ANY($2) for the users, and PostgreSQL's SELECT DISTINCT ON (resource_id) ... WHERE resource_id = ANY($2) ORDER BY resource_id, version DESC for the latest revision, which the UNIQUE (resource_id, version) index serves directly. On an engine without DISTINCT ON, use a lateral join or a row_number window. Three statements per request at any page size.
Follow-up
- The page size is capped at 200 today. What breaks first if it is raised to 2,000, and is it still this bug?
- How do you stop the next N+1 from reaching production, given that no individual query is slow and the endpoint's tests pass?
Built from the rounds and topics iQor candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the iQor loop
- Write out the reported sequence: Initial Screening, Technical Rounds, Salary and Goals Discussion.
- 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 IT Support / Production Support
- Spend the session on IT Support / Production Support, which iQor candidates report being tested on.
- Write one worked example in IT Support / Production Support and time yourself on it.
Deliverable: One timed worked example in IT Support / Production Support.
03Work Technical Troubleshooting
- Spend the session on Technical Troubleshooting, which iQor candidates report being tested on.
- Write one worked example in Technical Troubleshooting and time yourself on it.
Deliverable: One timed worked example in Technical Troubleshooting.
04Work Customer Support Communication
- Spend the session on Customer Support Communication, which iQor candidates report being tested on.
- Write one worked example in Customer Support Communication and time yourself on it.
Deliverable: One timed worked example in Customer Support Communication.
05Answer out loud: Technical and Hardware Proficiency
- Answer aloud, timed: Explain your experience working with various hardware assets like laptops, desktops, and servers.
- Answer aloud, timed: How do you diagnose a performance bottleneck in a server environment?
Deliverable: Spoken answers to 2 reported Technical and Hardware Proficiency question(s), under time.
06Answer out loud: Operational and Customer-Centric Problem Solving
- Answer aloud, timed: How do you handle a situation where a technical solution conflicts with a client’s immediate request?
- Answer aloud, timed: Describe a time you had to explain a complex technical issue to a non-technical stakeholder or customer.
Deliverable: Spoken answers to 2 reported Operational and Customer-Centric Problem Solving question(s), under time.
07Dry run for iQor
- Run one full mock under time, then write down the two questions you most want to ask your interviewers.
Deliverable: A completed timed mock and two questions to ask.
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.
Explain your experience working with various hardware assets like laptops, desktops, and servers.
Explain your experience working with various hardware assets like laptops, desktops, and servers.
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 a situation where a technical solution conflicts with a client’s immediate request?
How do you handle a situation where a technical solution conflicts with a client’s immediate request?
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 explain a complex technical issue to a non-technical stakeholder or customer.
Describe a time you had to explain a complex technical issue to a non-technical stakeholder or customer.
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
Explain your experience working with various hardware assets like laptops, desktops, and servers.
- 02
How do you handle a situation where a technical solution conflicts with a client’s immediate request?
- 03
Describe a time you had to explain a complex technical issue to a non-technical stakeholder or customer.
What is the typical difficulty level of the technical interviews?
Most candidates describe the difficulty as average. The questions are usually practical and situation-based, focusing on your ability to handle real-world technical problems rather than high-level theoretical computer science.
iQor Software Engineer candidate reports ↗Does the role involve a lot of pure coding?
The role is often balanced between development and operational support. You should expect to spend time on maintenance and troubleshooting, ensuring that the software solutions you build are reliable and easy to support.
iQor Software Engineer candidate reports ↗What is the best way to stand out during the interview?
Demonstrate a deep understanding of how your technical work impacts the broader business. Showing that you care about the end-user's experience and that you have a logical, methodical approach to troubleshooting will make you a strong candidate.
iQor Software Engineer candidate reports ↗Is the interview process mostly remote or onsite?
Processes vary by location, but you should expect a mix of phone screens and, depending on the role, potential onsite technical discussions. Always clarify the format with your recruiter early in the process.
iQor Software Engineer candidate reports ↗What topics does iQor test in interviews?
iQor interviews most often cover Problem Solving, SAP BW (SAP Business Warehouse), English communication (verbal), SQL Server, and Microsoft Excel (Advanced Reporting). The exact emphasis depends on the specific role you apply for.
iQor 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.
- 01iQor 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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