As a Software Engineer at TheGuarantors (NY), you play a crucial role in shaping the technology that drives our innovative rental solutions. This position is integral to developing and maintaining software that enhances the user experience for landlords, renters, and property managers alike. You will collaborate with cross-functional teams to solve complex problems, ensuring that our products are not only functional but also user-friendly and scalable. You will be involved in exciting projects that demand high levels of technical expertise and creativity. From refining our risk assessment software to enhancing our property management tools, your work will directly impact our ability to provide seamless services to our customers. This role is critical in a fast-paced environment where technology and product strategy converge, making it both challenging and rewarding. Expect to work on applications that handle significant data loads and require robust performance, all while adhering to best coding practices. Your contributions will help shape the future of rental solutions, making home leasing more accessible and efficient.
Initial Screening
reportedA preliminary conversation with a recruiter to assess candidate fit.
What to demonstrate
- A preliminary conversation with a recruiter to assess candidate fit
- Depth in System Design
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 Interviews
reportedA series of interviews focusing on technical skills and problem-solving abilities.
What to demonstrate
- A series of interviews focusing on technical skills and problem-solving abilities
- Depth in System Design
How to prepare
- Answer aloud and timed: Describe your experience with version control systems, particularly Git.
- Answer aloud and timed: How do you handle exception management in your applications?
Live Coding Session
reportedAn interactive coding exercise to evaluate coding skills in real-time.
What to demonstrate
- An interactive coding exercise to evaluate coding skills in real-time
- Depth in System Design
How to prepare
- Answer aloud and timed: Discuss a challenging bug you encountered and how you resolved it.
- Answer aloud and timed: Design a system to manage rental property listings, including user roles and permissions.
System Design Interview
reportedDiscussion focused on designing systems and architecture relevant to the role.
What to demonstrate
- Discussion focused on designing systems and architecture relevant to the role
- Depth in System Design
How to prepare
- Answer aloud and timed: How would you implement a notification system for new rental applications?
- Answer aloud and timed: Describe how you would scale a service to handle increased user load.
Team Discussions
reportedInterviews with team leads or the CTO to assess cultural fit and collaboration.
What to demonstrate
- Interviews with team leads or the CTO to assess cultural fit and collaboration
- Depth in System Design
How to prepare
- Answer aloud and timed: What considerations would you take into account when designing a microservices architecture?
- Answer aloud and timed: Discuss how you would ensure data consistency in a distributed system.
PracHub editorial advice for the preparation topics above.
Practice Coding
Regularly solve coding challenges on platforms like LeetCode or HackerRank to sharpen your skills.
Understand the Company
Research TheGuarantors (NY) and its products to tailor your responses and demonstrate genuine interest in the company.
Prepare Questions
Have thoughtful questions ready for your interviewers that reflect your interest in the role and the company culture.
Stay Calm and Collected
Interviews can be stressful, but remember to breathe and think through your answers. Clarity and confidence matter.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Write a function to sort an array of integers without using built-in sorting methods.
Write a function to sort an array of integers without using built-in sorting methods.
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, write a function to determine if it is a palindrome.
Given a string, write a function to determine 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?
Solve the problem of finding the longest substring without repeating characters.
Solve the problem of finding the longest substring without repeating characters.
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?
Keep soft-deleted accounts from blocking re-registration
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
Explain how you would optimize a given piece of code.
Explain how you would optimize a given piece of code.
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 differences between REST and GraphQL?
What are the differences between REST and GraphQL?
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 bug you encountered and how you resolved it.
Discuss a challenging bug you encountered and how you resolved it.
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?
Design a system to manage rental property listings, including user roles and permissions.
Design a system to manage rental property listings, including user roles and permissions.
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 implement a notification system for new rental applications?
How would you implement a notification system for new rental applications?
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 how you would scale a service to handle increased user load.
Describe how you would scale a service to handle increased user load.
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?
What considerations would you take into account when designing a microservices architecture?
What considerations would you take into account when designing a microservices architecture?
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?
Discuss how you would ensure data consistency in a distributed system.
Discuss how you would ensure data consistency in a distributed system.
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?
Given a scenario where a service is experiencing high latency, how would you diagnose the issue?
Given a scenario where a service is experiencing high latency, how would you diagnose the issue?
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 approach a situation where requirements change midway through a project?
How would you approach a situation where requirements change midway through a project?
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 TheGuarantors (NY) candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the TheGuarantors (NY) loop
- Write out the reported sequence: Initial Screening, Technical Interviews, Live Coding Session, System Design Interview, Team Discussions.
- 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 System Design
- Spend the session on System Design, which TheGuarantors (NY) 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.
03Work Algorithmic Problem Solving
- Spend the session on Algorithmic Problem Solving, which TheGuarantors (NY) candidates report being tested on.
- Write one worked example in Algorithmic Problem Solving and time yourself on it.
Deliverable: One timed worked example in Algorithmic Problem Solving.
04Work PHP
- Spend the session on PHP, which TheGuarantors (NY) candidates report being tested on.
- Write one worked example in PHP and time yourself on it.
Deliverable: One timed worked example in PHP.
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Explain how you would optimize a given piece of code.
- Answer aloud, timed: What are the differences between REST and GraphQL?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: System Design / Architecture
- Answer aloud, timed: Design a system to manage rental property listings, including user roles and permissions.
- Answer aloud, timed: How would you implement a notification system for new rental applications?
Deliverable: Spoken answers to 2 reported System Design / Architecture question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a time when you had to collaborate with a difficult team member.
- Answer aloud, timed: How do you prioritize tasks when you have multiple deadlines?
Deliverable: Spoken answers to 2 reported Behavioral / 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 your experience with version control systems, particularly Git.
Describe your experience with version control systems, particularly Git.
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 exception management in your applications?
How do you handle exception management in your applications?
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 when you had to collaborate with a difficult team member.
Describe a time when you had to collaborate 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?
How do you prioritize tasks when you have multiple deadlines?
How do you prioritize tasks when you have multiple deadlines?
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 how you handled failure in a project.
Share an example of how you handled failure 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?
What motivates you to code and keep learning in the field of software engineering?
What motivates you to code and keep learning in the field of software engineering?
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 approach feedback and criticism?
How do you approach 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?
Discuss a time when you had to think outside the box to solve a problem.
Discuss a time when you had to think outside the box to solve a problem.
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 version control systems, particularly Git.
- 02
How do you handle exception management in your applications?
- 03
Describe a time when you had to collaborate with a difficult team member.
- 04
How do you prioritize tasks when you have multiple deadlines?
What is the interview difficulty and how much preparation time is typical?
The interview difficulty is generally rated as average, but it can vary based on the specific team and role. Candidates typically spend 2–4 weeks preparing, focusing on technical skills, system design, and behavioral questions.
TheGuarantors (NY) Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates demonstrate a strong technical foundation, effective problem-solving skills, and the ability to communicate clearly. They align well with the company culture and show enthusiasm for continuous learning.
TheGuarantors (NY) Software Engineer candidate reports ↗What is the typical timeline from initial screen to offer?
Candidates can expect the process to take 4–6 weeks, depending on scheduling and the number of interview rounds. Timely follow-up and communication from the recruiter are standard.
TheGuarantors (NY) Software Engineer candidate reports ↗Are there remote work options available or hybrid expectations?
TheGuarantors (NY) supports a flexible work environment, with options for remote work depending on the role and team requirements. Be sure to clarify your preferences during the interview process.
TheGuarantors (NY) Software Engineer candidate reports ↗What topics does TheGuarantors (NY) test in interviews?
TheGuarantors (NY) interviews most often cover System Design, Product Management, Marketing Analytics, Compensation & OTE Understanding, and Payments Domain Expertise. The exact emphasis depends on the specific role you apply for.
TheGuarantors (NY) 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.
- 01TheGuarantors (NY) 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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