As a Software Engineer at Hertz Philippines, you are at the intersection of legacy logistics and modern digital transformation. Your work is critical to maintaining the infrastructure that powers global vehicle rental operations, ranging from reservation engines and fleet management systems to customer-facing web and mobile applications. You are not just writing code; you are ensuring that millions of transactions and complex logistics data points are processed with high availability and precision. The role requires a balance of technical rigor and business pragmatism. You will contribute to a high-scale ecosystem where the reliability of your service directly impacts the customer experience. Whether you are optimizing a database query for reservation lookups or integrating new API services, your impact is felt across the company's global operations. We seek engineers who can navigate the complexities of a large-scale enterprise while maintaining a sharp focus on clean, scalable, and maintainable software architecture.
Initial Recruiter Interaction
reportedThe process begins with an interaction with a recruiter to discuss your background and the role.
What to demonstrate
- The process begins with an interaction with a recruiter to discuss your background and the role
- Depth in Algorithmic problem solving (coding interviews)
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 Assessments
reportedCandidates undergo deep-dive technical assessments to evaluate their technical aptitude.
What to demonstrate
- Candidates undergo deep-dive technical assessments to evaluate their technical aptitude
- Depth in Algorithmic problem solving (coding interviews)
How to prepare
- Answer aloud and timed: Can you write a function to perform unit testing on a specific piece of logic?
- Answer aloud and timed: How do you optimize a search algorithm for a large dataset of vehicle inventory?
Discussions with Hiring Managers
reportedCandidates have discussions with hiring managers or team leads to assess cultural fit.
What to demonstrate
- Candidates have discussions with hiring managers or team leads to assess cultural fit
- Depth in Algorithmic problem solving (coding interviews)
How to prepare
- Prepare two projects you led end to end, each with the decision you owned and what it cost.
- Have three questions about the team's roadmap and how success is measured in the first six months.
Final Behavioral and Technical Assessments
reportedThe process concludes with final behavioral and technical assessments to ensure candidate suitability.
What to demonstrate
- The process concludes with final behavioral and technical assessments to ensure candidate suitability
- Depth in Algorithmic problem solving (coding interviews)
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 final behavioral and technical assessments above and write down what you would ask to confirm before it.
PracHub editorial advice for the preparation topics above.
Structure your answers
Use the STAR method (Situation, Task, Action, Result) for behavioral questions to keep your responses concise and impactful.
Clarify the requirements
Before jumping into a coding or system design problem, ask clarifying questions to ensure you fully understand the constraints and goals.
Test as you go
In coding rounds, always consider edge cases and mention how you would test your solution before finalizing it.
The interview process can sometimes be challenging due to scheduling or communication delays
Maintain your professionalism and persistence throughout the process.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Explain how you would implement a key-value pair data structure from scratch.
Explain how you would implement a key-value pair data structure from scratch.
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 Linked List, how would you detect a cycle or reverse the list?
Given a Linked List, how would you detect a cycle or reverse the 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?
Can you write a function to perform unit testing on a specific piece of logic?
Can you write a function to perform unit testing on a specific piece of logic?
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?
How do you optimize a search algorithm for a large dataset of vehicle inventory?
How do you optimize a search algorithm for a large dataset of vehicle inventory?
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 the time and space complexity of your solution for traversing a Binary Tree.
Describe the time and space complexity of your solution for traversing a Binary Tree.
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 the update path that detects a concurrent edit
resource carries version INT NOT NULL DEFAULT 1. resource_revision holds revision_id, resource_id, version, actor_user_id, change_kind, patch JSONB, request_id, created_at with UNIQUE (resource_id, version). outbox_event holds aggregate_type, aggregate_id, aggregate_version, event_type, payload, status. A PUT carries the version the client read. Write the exact statements for the single transaction that applies the edit, records the revision and enqueues 'resource.updated', and give the handler's branch on zero affected rows. Then say what PostgreSQL 16 does under READ COMMITTED when two of these updates hit one row at once.
Approach
- One transaction, three writes, no network call inside it: UPDATE resource SET title = $3, version = version + 1, updated_at = now() WHERE resource_id = $1 AND tenant_id = $4 AND version = $2; then INSERT the resource_revision row at version $2 + 1; then INSERT the outbox_event row at the same aggregate_version. The event goes to a table rather than a broker because no transaction spans both.
- Branch on the affected-row count before doing anything else. Zero has three causes — stale version, wrong tenant, row gone — so re-read once and map to 409 carrying the current version, or 404 for an id outside the caller's tenant, which also stops the endpoint confirming that another tenant's id exists.
- State the engine behaviour instead of assuming it. Under READ COMMITTED the second UPDATE blocks on the row lock, and when the first commits PostgreSQL re-evaluates the WHERE clause against the newly committed row, so the version predicate now fails and the statement reports zero rows. Under REPEATABLE READ the identical collision raises SQLSTATE 40001 instead, so the handler must fold both shapes into one conflict response.
- Keep UNIQUE (resource_id, version) even though the predicate already serialises writers. It is what makes a lost update unwritable if any other path ever reaches the revision table, and it converts a logic bug into 23505 rather than into a silently missing history row.
Follow-up
- A client sends the version it read ten minutes ago and the resource has moved three versions. What is in your 409 so it can resolve the conflict without a full re-fetch?
- Two editors, two disjoint fields, no overlap. Does your answer still refuse the second write, and should it?
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 would you design a car reservation system that handles high concurrency during peak travel seasons?
How would you design a car reservation system that handles high concurrency during peak travel seasons?
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?
Design an API architecture that supports both mobile and web clients for a rental platform.
Design an API architecture that supports both mobile and web clients for a rental platform.
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?
How do you ensure data integrity when multiple users attempt to book the same vehicle simultaneously?
How do you ensure data integrity when multiple users attempt to book the same vehicle simultaneously?
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 the trade-offs between a monolithic architecture and a microservices approach for our current infrastr
Explain the trade-offs between a monolithic architecture and a microservices approach for our current infrastructure.
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?
How would you handle database sharding to improve read/write performance in a global application?
How would you handle database sharding to improve read/write performance in a global application?
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?
Describe the difference between state and props in a React component.
Describe the difference between state and props in a React component.
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 does the virtual DOM improve performance in modern web applications?
How does the virtual DOM improve performance in modern web applications?
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 advantages and disadvantages of using Class components versus Functional components in React?
What are the advantages and disadvantages of using Class components versus Functional components in React?
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?
Explain how dependency injection works in a Django or Spring Boot environment.
Explain how dependency injection works in a Django or Spring Boot 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?
How do you manage memory and performance in a high-throughput Java or Python application?
How do you manage memory and performance in a high-throughput Java or Python application?
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?
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 Hertz Philippines candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Hertz Philippines loop
- Write out the reported sequence: Initial Recruiter Interaction, Technical Assessments, Discussions with Hiring Managers, Final Behavioral and Technical Assessments.
- 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 Algorithmic problem solving (coding interviews)
- Spend the session on Algorithmic problem solving (coding interviews), which Hertz Philippines candidates report being tested on.
- Write one worked example in Algorithmic problem solving (coding interviews) and time yourself on it.
Deliverable: One timed worked example in Algorithmic problem solving (coding interviews).
03Work System design
- Spend the session on System design, which Hertz Philippines candidates report being tested on.
- Write one worked example in System design and time yourself on it.
Deliverable: One timed worked example in System design.
04Work Coding screen (live coding)
- Spend the session on Coding screen (live coding), which Hertz Philippines candidates report being tested on.
- Write one worked example in Coding screen (live coding) and time yourself on it.
Deliverable: One timed worked example in Coding screen (live coding).
05Answer out loud: Coding and Algorithms
- Answer aloud, timed: Explain how you would implement a key-value pair data structure from scratch.
- Answer aloud, timed: Given a Linked List, how would you detect a cycle or reverse the list?
Deliverable: Spoken answers to 2 reported Coding and Algorithms question(s), under time.
06Answer out loud: System Design and Architecture
- Answer aloud, timed: How would you design a car reservation system that handles high concurrency during peak travel seasons?
- Answer aloud, timed: Design an API architecture that supports both mobile and web clients for a rental platform.
Deliverable: Spoken answers to 2 reported System Design and Architecture question(s), under time.
07Answer out loud: Technical Domain Knowledge
- Answer aloud, timed: Describe the difference between state and props in a React component.
- Answer aloud, timed: How does the virtual DOM improve performance in modern web applications?
Deliverable: Spoken answers to 2 reported Technical Domain Knowledge 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.
Tell me about a time you had to explain a complex technical decision to a non-technical stakeholder.
Tell me about a time you had to explain a complex technical decision 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 project where you had to pivot your approach due to changing business requirements.
Describe a project where you had to pivot your approach due to changing business requirements.
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 disagreements with team members regarding code quality or architectural choices?
How do you handle disagreements with team members regarding code quality or architectural choices?
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?
Share an example of a time you identified a bottleneck in a project and took the initiative to resolve it.
Share an example of a time you identified a bottleneck in a project and took the initiative to 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?
- 01
Tell me about a time you had to explain a complex technical decision to a non-technical stakeholder.
- 02
Describe a project where you had to pivot your approach due to changing business requirements.
- 03
How do you handle disagreements with team members regarding code quality or architectural choices?
- 04
Share an example of a time you identified a bottleneck in a project and took the initiative to resolve it.
How long is the typical interview process?
The process can vary, but generally spans 3–6 weeks from the initial recruiter screen to a final decision. We recommend staying proactive and following up if you haven't heard back within the expected timeframe.
Hertz Philippines Software Engineer candidate reports ↗What is the best way to stand out during the interview?
Be prepared to discuss the business value of your past projects. Don’t just list the technologies used; explain how your work improved performance, saved costs, or enhanced the user experience.
Hertz Philippines Software Engineer candidate reports ↗Is the technical interview focused on theoretical knowledge or practical application?
It is a mix of both. Expect to solve algorithmic problems, but also be ready to discuss how you would apply those concepts to real-world software engineering challenges at Hertz Philippines.
Hertz Philippines Software Engineer candidate reports ↗What topics does Hertz Philippines test in interviews?
Hertz Philippines interviews most often cover Stakeholder Management, Behavioral Interviewing, Problem Solving, Time Management, and Stakeholder Communication. The exact emphasis depends on the specific role you apply for.
Hertz Philippines 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.
- 01Hertz Philippines 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
Explore related engineering environments and compare the preparation focus.
SynergisticIT Software Engineer Interview Guide
What SynergisticIT asks Software Engineer candidates, from reported rounds and questions.
Smart Energy Water Software Engineer Interview Guide
What Smart Energy Water asks Software Engineer candidates, from reported rounds and questions.
Scalable Capital Software Engineer Interview Guide
What Scalable Capital asks Software Engineer candidates, from reported rounds and questions.
S&P Global Software Engineer Interview Guide
What S&P Global asks Software Engineer candidates, from reported rounds and questions.