Westgate Resorts Software Engineer Interview Guide

The 60-second brief

A Software Engineer at Westgate Resorts plays a critical role in bridging the gap between world-class hospitality and modern digital experiences. As one of the largest resort developers in the United States, Westgate Resorts relies on its engineering teams to build, scale, and maintain a massive digital ecosystem. This includes everything from guest-facing booking engines and mobile applications to internal property management systems, timeshare owner portals, and corporate infrastructure. In this role, your work directly impacts how millions of guests plan, book, and enjoy their vacations. The systems you build must be highly reliable, secure, and capable of handling seasonal traffic spikes.

This guide is scoped to a Software Engineer candidate at Westgate Resorts.

Focus areas

• Programming Problem Solving
• Front-End Development
• Algorithmic Reasoning

The Westgate Resorts interview process

Westgate Resorts candidates report 3 rounds over 3-5 weeks. The stages below are what candidates describe, not a published process.

Technical Screening

Initial technical screening conducted via video call focusing on past projects and technical background.

What to demonstrate

• Initial technical screening conducted via video call focusing on past projects and technical background
• Depth in Programming Problem Solving

How to prepare

• Answer aloud and timed: Write a function to solve a specific algorithmic problem, and explain the time and space complexity of your solution.
• Answer aloud and timed: How do you optimize front-end rendering performance when dealing with large datasets?

Software Test

Candidates complete an online software test that is validated through an onsite or live coding exercise.

What to demonstrate

• Candidates complete an online software test that is validated through an onsite or live coding exercise
• Depth in Programming Problem Solving

How to prepare

• Answer aloud and timed: Walk me through a coding exercise where you have to parse and manipulate complex JSON payloads from a third-party API.
• Answer aloud and timed: What is your approach to writing unit tests for critical business logic?

Team Meeting

Final stages involve meeting the engineering team and management to discuss coding process and behavioral alignment.

What to demonstrate

• Final stages involve meeting the engineering team and management to discuss coding process and behavioral alignment
• Depth in Programming Problem Solving

How to prepare

• Answer aloud and timed: Walk me through the most technically challenging project you have worked on. What was your role, and what architectural decisions did you make?
• Answer aloud and timed: How do you handle state management in large-scale client-side applications?

Where candidates lose points

Over-communicate during coding tests

Whether online or onsite, always explain your thought process out loud. The interviewers are highly interested in the process you use to come up with a solution, not just the final syntax.

Showcase your front-end versatility

Be ready to demonstrate your front-end capabilities, as the team frequently evaluates how comfortable candidates are with building and optimizing user interfaces.

Be prepared to discuss how you handle shifting workloads

The hospitality industry experiences high-traffic seasonal peaks (such as holidays and summer vacations), which directly translate to deployment freezes and high-reliability requirements for guest-facing systems.

Questions & practice

Write a function to solve a specific algorithmic problem, and explain the time and space complexity of your so

Medium · Technical & Coding Assessments

Write a function to solve a specific algorithmic problem, and explain the time and space complexity of your solution.

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. 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 front-end rendering performance when dealing with large datasets?

Medium · Technical & Coding Assessments

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. 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?

What is your approach to writing unit tests for critical business logic?

Medium · Technical & Coding Assessments

Approach

1. Restate the input: its shape, its size, and what is guaranteed about it.
2. Name the brute-force solution and its complexity before improving on it.
3. Choose the data structure from the access pattern, not from familiarity.
4. 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

Easy · keyset pagination · composite index · sort order

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

1. 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.
2. 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.
3. 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.
4. 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?

Find version gaps and relay lag with window functions

Medium · window functions · event tables · frame semantics

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

1. 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.
2. 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.
3. 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.
4. 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?

Walk me through a coding exercise where you have to parse and manipulate complex JSON payloads from a third-pa

Medium · Technical & Coding Assessments

Walk me through a coding exercise where you have to parse and manipulate complex JSON payloads from a third-party API.

Approach

1. Say who the caller is and what they do when the call fails halfway.
2. Define the identity of a request so a retry cannot double-apply it.
3. Separate accepted, pending, failed and confirmed; they are different facts.
4. 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?

Walk me through the most technically challenging project you have worked on. What was your role, and what arch

Medium · Project Walkthroughs & Architecture

Walk me through the most technically challenging project you have worked on. What was your role, and what architectural decisions did you make?

Approach

1. Fix the scope first: who calls this, how often, and what they do when it fails.
2. Name the read and write paths separately; they rarely have the same bottleneck.
3. Choose a partition key and say what query it makes expensive.
4. 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 a situation where you had to integrate a legacy system with a modern web application. What challenges

Medium · Project Walkthroughs & Architecture

Describe a situation where you had to integrate a legacy system with a modern web application. What challenges did you face?

Approach

1. Say who the caller is and what they do when the call fails halfway.
2. Define the identity of a request so a retry cannot double-apply it.
3. Separate accepted, pending, failed and confirmed; they are different facts.
4. 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?

What expectations do you have for this position, and how does your past experience align with our current tech

Medium · Project Walkthroughs & Architecture

What expectations do you have for this position, and how does your past experience align with our current tech stack?

Approach

1. Fix the scope first: who calls this, how often, and what they do when it fails.
2. Name the read and write paths separately; they rarely have the same bottleneck.
3. Choose a partition key and say what query it makes expensive.
4. 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?

Exports duplicate a row range about once a week

Hard · leases · clock skew · idempotency

Roughly once a week an export writes a file containing a duplicated range of rows. The affected job_run rows show attempt = 1, status = succeeded, one started_at, and a lease_owner naming a different host from the one whose logs show the job starting. Leases last 30 seconds and are heartbeated every 10 from inside the handler; lease_expires_at is computed on the worker and compared against the database's now(). Find the mechanism, and give a fix that holds even if you cannot fix the clocks.

Approach

1. Start from the fact that eliminates the obvious answer. attempt = 1 means no retry was recorded, so this is not a re-run after failure; two workers ran the same row concurrently and the takeover path never touched the counter. lease_owner naming a host other than the one that started the job is the same statement from the other side.
2. Enumerate the mechanisms that cause a premature takeover, then find the signal that separates them. Either the lease genuinely expired because the heartbeat did not fire, which is what happens when the heartbeat runs on the handler's own thread and the handler makes a long blocking call, or it only appeared expired because two clocks disagree, since lease_expires_at is written from the worker's clock and evaluated against the database's. The discriminator is the distribution: incidents clustered on the longest exports indict the heartbeat, incidents clustered on one host indict skew. Measure both, and measure each host's offset against the database directly.
3. Read the reclaim query precisely. In PostgreSQL now() is transaction start time, not statement time, so a reclaimer holding a long transaction compares against an older timestamp than expected; clock_timestamp() is the statement-time function. This is worth ruling in or out before you redesign anything, because it changes which rows look expired.
4. Remove the second clock rather than trying to synchronise it. Issue and extend the lease in the database, with lease_expires_at = now() + interval '30 seconds' in both the claim and the heartbeat, so exactly one clock is ever compared and worker skew stops mattering to this predicate.

Follow-up

• The displaced worker has already streamed half the file to object storage. What makes that side effect safe to repeat?
• You now count takeovers. What alert fires on that counter, and at what threshold?

Suggested practice checklist

Built from the rounds and topics Westgate Resorts candidates report.

Day 1 — Map the Westgate Resorts loop

• Write out the reported sequence: Technical Screening, Software Test, Team Meeting.
• 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.

Day 2 — Work Programming Problem Solving

• Spend the session on Programming Problem Solving, which Westgate Resorts candidates report being tested on.
• Write one worked example in Programming Problem Solving and time yourself on it.

Deliverable: One timed worked example in Programming Problem Solving.

Day 3 — Work Front-End Development

• Spend the session on Front-End Development, which Westgate Resorts candidates report being tested on.
• Write one worked example in Front-End Development and time yourself on it.

Deliverable: One timed worked example in Front-End Development.

Day 4 — Work Algorithmic Reasoning

• Spend the session on Algorithmic Reasoning, which Westgate Resorts candidates report being tested on.
• Write one worked example in Algorithmic Reasoning and time yourself on it.

Deliverable: One timed worked example in Algorithmic Reasoning.

Day 5 — Answer out loud: Technical & Coding Assessments

• Answer aloud, timed: Write a function to solve a specific algorithmic problem, and explain the time and space complexity of your solution.
• Answer aloud, timed: How do you optimize front-end rendering performance when dealing with large datasets?

Deliverable: Spoken answers to 2 reported Technical & Coding Assessments question(s), under time.

Day 6 — Answer out loud: Project Walkthroughs & Architecture

• Answer aloud, timed: Walk me through the most technically challenging project you have worked on. What was your role, and what architectural decisions did you make?
• Answer aloud, timed: How do you handle state management in large-scale client-side applications?

Deliverable: Spoken answers to 2 reported Project Walkthroughs & Architecture question(s), under time.

Day 7 — Answer out loud: Behavioral & Operational Alignment

• Answer aloud, timed: How do you prioritize your tasks when working under tight deadlines or during peak business seasons?
• Answer aloud, timed: Describe a time when you had a disagreement with a team member or product manager regarding a technical implementation. How did you resolve it?

Deliverable: Spoken answers to 2 reported Behavioral & Operational Alignment question(s), under time.

Behavioural preparation

Behavioural rounds judge the decision you made and what it cost.

How do you handle state management in large-scale client-side applications?

Medium · Project Walkthroughs & Architecture

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. 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 your tasks when working under tight deadlines or during peak business seasons?

Medium · Behavioral & Operational Alignment

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. 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 a disagreement with a team member or product manager regarding a technical implem

Medium · Behavioral & Operational Alignment

Describe a time when you had a disagreement with a team member or product manager regarding a technical implementation. How did you resolve it?

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. 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 type of team environment and work culture do you thrive in?

Medium · Behavioral & Operational Alignment

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. 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 keep up with emerging technologies, and how do you decide when to introduce them to an existing cod

Medium · Behavioral & Operational Alignment

How do you keep up with emerging technologies, and how do you decide when to introduce them to an existing codebase?

Approach

1. Pick a story where you made the decision, not one where you watched it.
2. State the situation in two sentences and spend the rest on the reasoning.
3. Give the blast radius: what could have broken, and what you measured.
4. 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?