As a Software Engineer at Rb Global, you are at the intersection of complex logistics, automotive remarketing, and high-scale digital transformation. You are not just writing code; you are building the digital backbone that powers global vehicle auctions and lifecycle management. Your work directly impacts how thousands of vehicles are processed, valued, and moved across the globe daily. This role is critical because Rb Global operates in a highly dynamic, data-intensive industry where precision and speed are paramount. You will collaborate with cross-functional teams to modernize legacy systems, scale cloud infrastructure, and develop features that enhance the user experience for both buyers and sellers. It is an environment that favors engineers who are comfortable navigating ambiguity and who take ownership of the full software development lifecycle. ##### Tip Being a Software Engineer here requires a balance of technical rigor and business acumen. Understand the domain—the automotive remarketing space—to stand out as a candidate who builds with purpose.
Initial Screening
reportedThe first step involves a review of your application and qualifications.
What to demonstrate
- The first step involves a review of your application and qualifications
- Depth in Software Engineering (General)
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 Screen
reportedA technical interview assessing your coding fundamentals and problem-solving skills.
What to demonstrate
- A technical interview assessing your coding fundamentals and problem-solving skills
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: What are the trade-offs between monolithic and microservices architectures in our industry?
- Answer aloud and timed: Explain a technical challenge where the initial solution failed; how did you pivot?
Architectural Discussion
reportedA deep-dive discussion focusing on system design and architecture.
What to demonstrate
- A deep-dive discussion focusing on system design and architecture
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: How would you design a system to handle a massive spike in concurrent users during a live auction?
- Answer aloud and timed: Walk me through your process for debugging a critical production outage.
Behavioral Interview
reportedAn interview to explore your professional journey and cultural fit.
What to demonstrate
- An interview to explore your professional journey and cultural fit
- Depth in Software Engineering (General)
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 interview above and write down what you would ask to confirm before it.
Final Evaluation
reportedThe concluding step where the hiring team assesses all gathered information.
What to demonstrate
- The concluding step where the hiring team assesses all gathered information
- Depth in Software Engineering (General)
How to prepare
- Answer aloud and timed: What motivates you to learn new technologies, and how do you apply them to your current work?
- Work Software Engineering (General) until you can explain it without notes
PracHub editorial advice for the preparation topics above.
Think out loud
During coding or design sessions, narrate your thought process. It helps the interviewer understand your logic, even if you hit a snag.
Ask questions about the business
Show that you understand the Rb Global mission. Asking about how your code impacts the user or business bottom line shows maturity.
Review your resume
Be prepared to speak in detail about any project you have listed. You may be asked to dive deep into a specific technical decision you made.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Find overlapping job attempts and peak concurrency from lease records
A day of job_run history yields about 50,000,000 attempt records: (job_run_id, job_type, attempt, started_at, finished_at which is NULL when the worker died, lease_expires_at). Leases expire on a clock, so a job that outran its lease ran twice. Produce (a) every job_run_id whose attempts overlapped in wall-clock time and (b) the peak number of simultaneously running attempts per job_type with the minute it occurred. Target O(n log n). State how you treat a NULL finished_at and what clock skew does to your answer.
Approach
- Define the interval before sorting anything: an attempt occupies [started_at, COALESCE(finished_at, lease_expires_at)). finished_at is observed and lease_expires_at is only a promise, so every attempt without a finish contributes an estimate and the whole result is a lower bound on overlap rather than an exact count.
- For peak concurrency, sweep: emit 2n endpoints, sort by (timestamp, kind) with ends ordered before starts at equal timestamps, then walk the sequence maintaining a counter per job_type and record each type's maximum with its timestamp. O(n log n) dominated by the sort, O(n) space, or O(1) extra if the sort is external and the walk streams.
- For overlap detection, do not compare attempts pairwise. A single global sort by (job_run_id, started_at) gives both the grouping and the order; within a group, keep the maximum end seen so far and report an overlap exactly when the next start is less than that running maximum, which is one linear pass after the sort.
- Half-open intervals matter and are easy to get wrong: with closed intervals an attempt ending at the same millisecond another begins reads as concurrency two, and across 50,000,000 records that artefact swamps the real signal.
Follow-up
- A handler is not idempotent and you have found 400 overlapping jobs. Which of them actually caused damage, and what would you query to find out?
- Peak concurrency for one job_type is 4 against a configured cap of 4. Is the cap working, or is the data hiding attempts that never started?
Canonicalise a request body into a stable idempotency fingerprint
idempotency_key.request_fingerprint is a SHA-256 over the method, path and canonicalised body, and a retry whose fingerprint differs must be rejected with 422 rather than served the stored response. Write the canonicaliser. Bodies are JSON up to 256 KB nested at most 32 levels; clients vary key order, whitespace and unicode escaping, and some send 64-bit ids as JSON numbers. Produce a deterministic byte string such that semantically identical bodies match and any semantic difference does not. State your complexity and name two normalisations you refuse to perform.
Approach
- Parse once into a tree, then re-serialise under fixed rules: object keys sorted, array order preserved, one escaping convention, no insignificant whitespace. Parsing is O(n) and sorting keys is O(k log k) per object, so O(n log n) overall with O(depth) stack, and the 32-level cap is enforced during parsing because hostile nesting is how a canonicaliser becomes a stack overflow.
- Sort keys by their UTF-8 bytes and say why the obvious implementation is wrong in some runtimes: a default string comparison that orders by UTF-16 code units places surrogate pairs, meaning code points from U+10000 up, below U+E000 to U+FFFF, which is not UTF-8 byte order, so two services written in different languages disagree on the same document.
- Do not re-encode numbers through a double. IEEE-754 binary64 represents integers exactly only up to 2^53, so normalising a 19-digit id through a float changes it, and 1 against 1.0 cannot be reconciled without deciding whether they are the same value. Preserve the literal token, and require ids as strings at the API boundary if you want them comparable.
- Reject duplicate keys rather than picking one. JSON permits them and parsers disagree, most keeping the last, so any choice you make ties the fingerprint to a parser detail that the code handling the request does not necessarily share.
Follow-up
- A client sends the same logical request with an extra field your API ignores. Same key, different fingerprint, so you return 422. Is that the right answer?
- Where does the fingerprint get computed relative to request decompression and the body-size limit?
Merge partitioned event streams into one ordered feed with bounded lateness
The read-model service consumes 64 log partitions carrying about 4,000 events per second in total. Each partition is ordered within itself, but partitions drift by up to 30 seconds, and the activity feed must present a tenant's events in occurred_at order. Produce the merge. State its complexity, the buffer it requires in events and in bytes, what happens when one partition is idle, and what you do with an event that arrives after you have already emitted its position. Payloads average 1 KB.
Approach
- Merge with a min-heap over the 64 partition heads keyed on (occurred_at, event_id): O(log P) per event and O(n log P) overall. The tie-break on event_id is what makes the output deterministic when two partitions carry the same millisecond, which matters because the feed is paginated and a non-deterministic order reorders pages under the reader.
- Emitting the heap head is only correct once every partition has produced everything up to that timestamp, so the emit condition is a watermark: the minimum across partitions of the highest occurred_at seen, less the allowed lateness. Events are held until the watermark passes them, which is what turns individually ordered streams into a jointly ordered one.
- Size the buffer from the lateness rather than guessing: 4,000 events per second times 30 seconds is 120,000 buffered events, and at 1 KB each about 120 MB of heap. That number is the real price of the ordering guarantee and belongs in front of whoever asked for it.
- Handle the idle partition explicitly, because it fails the feed rather than corrupting it: a partition with no traffic never advances its own maximum, so the watermark freezes and output stops entirely. Either every partition emits a periodic idle marker carrying the broker's current time, or the watermark falls back to wall clock for a partition silent beyond a threshold.
Follow-up
- The lateness budget is raised to five minutes. What is the new buffer, and what besides memory changes?
- The consumer restarts. Where does it resume from, and what does the feed look like for the first 30 seconds?
Explain why the owner filter ignores the listing index
The only index on resource is (tenant_id, status, updated_at DESC, resource_id DESC). A new endpoint returns one user's resources across all statuses, newest created first: WHERE tenant_id = $1 AND owner_user_id = $2 ORDER BY created_at DESC LIMIT 20. On a tenant with 2M rows it takes 900 ms and EXPLAIN shows a sort above a large scan. Explain precisely why the existing index cannot serve it, give the index that can, and state which of these the new index still will not help: owner_user_id alone across tenants; the same query ordered by updated_at. PostgreSQL 16.
Approach
- Separate the two jobs an index does. For filtering, a composite btree is seekable only on a left prefix, so with no predicate on status the scan can at best range over tenant_id and test owner_user_id per row; PostgreSQL 16 has no btree skip scan to jump the unconstrained column.
- For ordering, the index is sorted by (status, updated_at) within a tenant and not by created_at, so the LIMIT cannot stop early: every matching row is read and then sorted. That is the 'Sort Method: top-N heapsort' line, and it is why the plan reads 2M rows to answer with 20.
- Derive the replacement from the access path — equality, equality, then the ordering column: CREATE INDEX CONCURRENTLY ON resource (tenant_id, owner_user_id, created_at DESC). The scan seeks to the (tenant, owner) range and walks 20 entries in order, so the Sort node disappears along with the row-read.
- Treat INCLUDE (title, status) as conditional, not free. An index-only scan still visits the heap for any row whose page is not marked all-visible, so on a table taking 1.2k writes/second the win depends on autovacuum keeping the visibility map current, and the wider index costs more on every insert.
Follow-up
- 90% of rows are status='active'. Would a partial index WHERE status = 'active' change your answer, and for which of the three queries?
- A dashboard runs this for 40 owners in one page load. What changes about the design?
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?
How do you ensure code quality and maintainability in a high-traffic production environment?
How do you ensure code quality and maintainability in a high-traffic production 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 are the trade-offs between monolithic and microservices architectures in our industry?
What are the trade-offs between monolithic and microservices architectures in our industry?
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?
Explain a technical challenge where the initial solution failed; how did you pivot?
Explain a technical challenge where the initial solution failed; how did you pivot?
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 would you design a system to handle a massive spike in concurrent users during a live auction?
How would you design a system to handle a massive spike in concurrent users during a live auction?
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?
Walk me through your process for debugging a critical production outage.
Walk me through your process for debugging a critical production outage.
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 Rb Global candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Rb Global loop
- Write out the reported sequence: Initial Screening, Technical Screen, Architectural Discussion, Behavioral Interview, Final Evaluation.
- 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 5 reported rounds, with the weakest marked.
02Work Software Engineering (General)
- Spend the session on Software Engineering (General), which Rb Global candidates report being tested on.
- Write one worked example in Software Engineering (General) and time yourself on it.
Deliverable: One timed worked example in Software Engineering (General).
03Work Problem Solving
- Spend the session on Problem Solving, which Rb Global candidates report being tested on.
- Write one worked example in Problem Solving and time yourself on it.
Deliverable: One timed worked example in Problem Solving.
04Work Software Design
- Spend the session on Software Design, which Rb Global candidates report being tested on.
- Write one worked example in Software Design and time yourself on it.
Deliverable: One timed worked example in Software Design.
05Answer out loud: Technical Proficiency
- Answer aloud, timed: How do you ensure code quality and maintainability in a high-traffic production environment?
- Answer aloud, timed: Describe a time you had to optimize a slow-performing database query or service.
Deliverable: Spoken answers to 2 reported Technical Proficiency question(s), under time.
06Answer out loud: Problem-Solving and Logic
- Answer aloud, timed: Explain a technical challenge where the initial solution failed; how did you pivot?
- Answer aloud, timed: How would you design a system to handle a massive spike in concurrent users during a live auction?
Deliverable: Spoken answers to 2 reported Problem-Solving and Logic question(s), under time.
07Answer out loud: Behavioral and Leadership
- Answer aloud, timed: Tell me about a time you had to explain a complex technical concept to a non-technical stakeholder.
- Answer aloud, timed: Describe a situation where you disagreed with a team member’s technical approach. How did you resolve it?
Deliverable: Spoken answers to 2 reported Behavioral and Leadership 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 a time you had to optimize a slow-performing database query or service.
Describe a time you had to optimize a slow-performing database query or service.
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 had to explain a complex technical concept to a non-technical stakeholder.
Tell me about a time you had to explain a complex technical concept to a non-technical stakeholder.
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 disagreed with a team member’s technical approach. How did you resolve it?
Describe a situation where you disagreed with a team member’s technical approach. How did you resolve 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?
What motivates you to learn new technologies, and how do you apply them to your current work?
What motivates you to learn new technologies, and how do you apply them to your current work?
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 a time you had to optimize a slow-performing database query or service.
- 02
Tell me about a time you had to explain a complex technical concept to a non-technical stakeholder.
- 03
Describe a situation where you disagreed with a team member’s technical approach. How did you resolve it?
- 04
What motivates you to learn new technologies, and how do you apply them to your current work?
How long does the interview process typically take?
The timeline varies, but most candidates complete the process within 3 to 6 weeks. We aim to move quickly while ensuring we provide a thorough assessment for both parties.
Rb Global Software Engineer candidate reports ↗Is the technical assessment remote or on-site?
Most technical interviews are conducted remotely via video conferencing, allowing you to showcase your coding skills in your preferred environment.
Rb Global Software Engineer candidate reports ↗What differentiates a good candidate from a great one at Rb Global?
Great candidates don't just solve the problem; they ask clarifying questions, consider edge cases, and discuss the trade-offs of their proposed solutions before diving into code.
Rb Global Software Engineer candidate reports ↗How much focus is on behavioral questions?
Behavioral questions are a significant part of the process, particularly as you interview with more senior stakeholders to ensure cultural alignment and effective collaboration.
Rb Global Software Engineer candidate reports ↗What topics does Rb Global test in interviews?
Rb Global interviews most often cover Software Engineering (General), Territory Management, Customer Relationship Management (CRM), Problem Solving, and Sales Pipeline Management. The exact emphasis depends on the specific role you apply for.
Rb Global 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.
- 01Rb Global 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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