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Trepp Software Engineer Interview Guide

Trepp Software Engineer interview guide: reported rounds, questions and how candidates describe the process.

The 60-second brief

A Software Engineer at Trepp plays a pivotal role in developing innovative solutions that enhance the company’s suite of financial data products. This position is critical as it directly influences the efficiency, scalability, and reliability of software systems that manage vast amounts of data in real-time. By working on complex algorithms and software architectures, you will help create products that facilitate informed decision-making for clients in the commercial real estate sector. In this role, you will engage with a talented team of engineers and collaborate closely with product managers and data analysts. Your contributions will impact key areas, including risk assessment and asset management.

This guide is scoped to a Software Engineer candidate at Trepp.

Focus areas

  • JavaScript
  • Algorithms & Problem Solving
  • Backend SQL Development

The Trepp interview process

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

Introductory Phone Screen

Initial phone call to assess candidate's background and fit for the role.

What to demonstrate

  • Initial phone call to assess candidate's background and fit for the role
  • Depth in JavaScript

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

Multiple interviews that may include coding challenges, system design discussions, and behavioral questions.

What to demonstrate

  • Multiple interviews that may include coding challenges, system design discussions, and behavioral questions
  • Depth in JavaScript

How to prepare

  • Answer aloud and timed: Describe the principles of RESTful API design.
  • Answer aloud and timed: Write a function to find the longest substring without repeating characters.

Team Interaction

Candidates interact with various team members to gain insight into the collaborative culture.

What to demonstrate

  • Candidates interact with various team members to gain insight into the collaborative culture
  • Depth in JavaScript

How to prepare

  • Answer aloud and timed: Given a list of integers, implement a method to find the largest product of any three integers.
  • Answer aloud and timed: How would you implement a stack using queues?

Where candidates lose points

Practice Real-time Coding

During technical interviews, you may be asked to code in real-time. Practice solving problems in collaborative coding environments to simulate the interview experience.

Communicate Your Thought Process

As you work through coding challenges or design questions, verbally articulate your thought process. This helps interviewers understand your approach and problem-solving strategy.

Research the Company

Familiarize yourself with Trepp’s products, services, and recent developments. This knowledge can enhance your responses and show your genuine interest in the company.

Remember to maintain a balance between confidence and humility during your interviews

Showing a willingness to learn and grow can resonate positively with your interviewers.

Questions & practice

Can you explain how garbage collection works in Java?

Medium · Technical / Domain Questions

Approach

  1. Say what the runtime actually does before reasoning about the code.
  2. Name what is shared across threads and what owns each piece of state.
  3. Identify the window where an invariant is briefly untrue.
  4. Distinguish a value from a reference to it, and say which one you handed out.

Follow-up

  • What happens if two callers reach this at the same time?
  • Where could this allocate more than you expect?

Write a function to find the longest substring without repeating characters.

Medium · Coding / Algorithms

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?

Given a list of integers, implement a method to find the largest product of any three integers.

Medium · Coding / Algorithms

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 would you implement a stack using queues?

Medium · Coding / Algorithms

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 are the key differences between SQL and NoSQL databases?

Medium · Technical / Domain Questions

Approach

  1. Name the grain you start from and join outward from it.
  2. Check whether any join is one-to-many before aggregating, or the sums inflate.
  3. Say which index the query would use, and what makes it unusable.
  4. Handle the rows that do not match: that is usually the actual question.

Follow-up

  • How does the query change if that join becomes one-to-many?
  • What happens to this when the table is ten times larger?

Stop tag and share joins from fanning out a page

Medium · join fan-out · semi-joins · many-to-many

resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.

Approach

  1. Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
  2. Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
  3. Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
  4. Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.

Follow-up

  • The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
  • A resource can be shared with the same user twice under different permissions. Does your count change, and should it?

Describe the principles of RESTful API design.

Medium · Technical / Domain Questions

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?

Design a URL shortening service and explain your choices.

Medium · System Design / Architecture

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?

How would you design a system for real-time data processing?

Medium · System Design / Architecture

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?

Discuss how you would architect a multi-tenant application.

Medium · System Design / Architecture

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?

Given a set of performance metrics, how would you identify potential bottlenecks in a system?

Medium · Problem-solving / Case Studies

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. 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 you would evaluate the success of a software release.

Medium · Problem-solving / Case Studies

Approach

  1. Clarify what is being asked and what a complete answer contains.
  2. State your assumptions explicitly before working the problem.
  3. Say what you would check first and why it is the highest-information step.
  4. 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 debugging an application that is intermittently crashing?

Medium · Problem-solving / Case Studies

Approach

  1. Establish what changed and when, before forming any theory.
  2. Pick a bisection that eliminates candidates whichever way it turns out.
  3. Check the instrumentation before believing the symptom.
  4. 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?

Suggested practice checklist

Built from the rounds and topics Trepp candidates report.

Day 1 — Map the Trepp loop

  • Write out the reported sequence: Introductory Phone Screen, Technical Interviews, Team Interaction.
  • 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 JavaScript

  • Spend the session on JavaScript, which Trepp candidates report being tested on.
  • Write one worked example in JavaScript and time yourself on it.

Deliverable: One timed worked example in JavaScript.

Day 3 — Work Algorithms & Problem Solving

  • Spend the session on Algorithms & Problem Solving, which Trepp candidates report being tested on.
  • Write one worked example in Algorithms & Problem Solving and time yourself on it.

Deliverable: One timed worked example in Algorithms & Problem Solving.

Day 4 — Work Backend SQL Development

  • Spend the session on Backend SQL Development, which Trepp candidates report being tested on.
  • Write one worked example in Backend SQL Development and time yourself on it.

Deliverable: One timed worked example in Backend SQL Development.

Day 5 — Answer out loud: Technical / Domain Questions

  • Answer aloud, timed: What are the key differences between SQL and NoSQL databases?
  • Answer aloud, timed: Can you explain how garbage collection works in Java?

Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.

Day 6 — Answer out loud: Coding / Algorithms

  • Answer aloud, timed: Write a function to find the longest substring without repeating characters.
  • Answer aloud, timed: Given a list of integers, implement a method to find the largest product of any three integers.

Deliverable: Spoken answers to 2 reported Coding / Algorithms question(s), under time.

Day 7 — Answer out loud: System Design / Architecture

  • Answer aloud, timed: Design a URL shortening service and explain your choices.
  • Answer aloud, timed: How would you design a system for real-time data processing?

Deliverable: Spoken answers to 2 reported System Design / Architecture question(s), under time.

Behavioural preparation

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

Tell me about a time when you faced a significant challenge at work. How did you handle it?

Medium · Behavioral / Leadership

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 tasks when working on multiple projects?

Medium · Behavioral / Leadership

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 situation where you had to work with a difficult team member.

Medium · Behavioral / Leadership

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?