As a Software Engineer at Dust, you play a pivotal role in shaping the technological landscape of the company. This position is critical to developing innovative products that enhance user experiences and drive business growth. At Dust, engineers are not just coders; they are problem-solvers who tackle complex challenges, improve system efficiencies, and contribute to a collaborative culture that values creativity and technical excellence. Within your role, you will work closely with cross-functional teams to create scalable software solutions that meet the diverse needs of our customers. These projects may involve everything from backend systems that process vast amounts of data to user-facing applications that require not only technical skill but also an understanding of user experience and business objectives. You will have the opportunity to influence the product development lifecycle, ensuring that the solutions you design are not only robust and efficient but also aligned with the strategic goals of Dust. As part of a dynamic team, you will engage in a variety of projects that challenge your technical capabilities and encourage you to think critically about software design and architecture. This role is not only an opportunity to advance your technical skills but also to make a meaningful impact on the products and services that define. Dust
HR Screening
reportedInitial screening conducted by HR to assess candidate fit for the role.
What to demonstrate
- Initial screening conducted by HR to assess candidate fit for the role
- Depth in TypeScript
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
reportedIn-depth technical discussions with engineering leads, including coding challenges.
What to demonstrate
- In-depth technical discussions with engineering leads
- Including coding challenges
How to prepare
- Answer aloud and timed: How do you approach writing unit tests for your code?
- Answer aloud and timed: Explain the difference between synchronous and asynchronous programming.
System Design Exercises
reportedParticipation in exercises to evaluate system design skills.
What to demonstrate
- Participation in exercises to evaluate system design skills
- Depth in TypeScript
How to prepare
- Answer aloud and timed: Can you discuss a project where you optimized performance? What techniques did you use?
- Answer aloud and timed: How would you design a URL shortening service?
Interviews with Senior Leadership
reportedFinal interviews focusing on behavioral aspects and alignment with company values.
What to demonstrate
- Final interviews focusing on behavioral aspects and alignment with company values
- Depth in TypeScript
How to prepare
- Answer aloud and timed: Discuss the trade-offs of using microservices versus a monolithic architecture.
- Answer aloud and timed: Describe how you would approach scaling a web application for millions of users.
PracHub editorial advice for the preparation topics above.
Practice coding regularly
Regular practice with coding challenges will enhance your problem-solving skills and prepare you for technical interviews.
Understand the company values
Familiarize yourself with Dust's mission and values to effectively communicate how you align with them during the interview.
Engage in mock interviews
Conduct mock interviews with peers or mentors to build confidence and receive constructive feedback on your performance.
Prepare for behavioral questions
Think of specific scenarios from your past experiences that illustrate your skills and contributions to teamwork and project success.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Explain the difference between synchronous and asynchronous programming.
Explain the difference between synchronous and asynchronous programming.
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- 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 reverse a linked list.
Write a function to reverse a linked 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?
How would you implement a binary search algorithm?
How would you implement a binary search algorithm?
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 solve the "two-sum" problem using optimal space and time complexity?
Can you solve the "two-sum" problem using optimal space and time complexity?
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 your thought process when tackling algorithmic challenges.
Describe your thought process when tackling algorithmic challenges.
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 a function that checks if a string is a palindrome.
Write a function that checks if a string 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?
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?
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?
What programming languages are you most proficient in and why?
What programming languages are you most proficient in and why?
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?
Describe a challenging bug you faced and how you resolved it.
Describe a challenging bug you faced 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?
How do you approach writing unit tests for your code?
How do you approach writing unit tests for your 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?
Can you discuss a project where you optimized performance? What techniques did you use?
Can you discuss a project where you optimized performance? What techniques did you use?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you design a URL shortening service?
How would you design a URL shortening service?
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 the trade-offs of using microservices versus a monolithic architecture.
Discuss the trade-offs of using microservices versus a monolithic 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?
Describe how you would approach scaling a web application for millions of users.
Describe how you would approach scaling a web application for millions of users.
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 make for data storage in a high-traffic application?
What considerations would you make for data storage in a high-traffic 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?
How do you ensure your architecture is maintainable and adaptable?
How do you ensure your architecture is maintainable and adaptable?
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 specific technical challenge, how would you go about diagnosing the issue?
Given a specific technical challenge, how would you go about diagnosing 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?
Walk us through your thought process when faced with a new problem.
Walk us through your thought process when faced with a new problem.
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?
Provide a solution to a hypothetical scenario that involves trade-offs between performance and cost.
Provide a solution to a hypothetical scenario that involves trade-offs between performance and cost.
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 approach debugging a complex system?
How do you approach debugging a complex system?
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Built from the rounds and topics Dust candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Dust loop
- Write out the reported sequence: HR Screening, Technical Interviews, System Design Exercises, Interviews with Senior Leadership.
- 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 TypeScript
- Spend the session on TypeScript, which Dust candidates report being tested on.
- Write one worked example in TypeScript and time yourself on it.
Deliverable: One timed worked example in TypeScript.
03Work React.js
- Spend the session on React.js, which Dust candidates report being tested on.
- Write one worked example in React.js and time yourself on it.
Deliverable: One timed worked example in React.js.
04Work Kubernetes
- Spend the session on Kubernetes, which Dust candidates report being tested on.
- Write one worked example in Kubernetes and time yourself on it.
Deliverable: One timed worked example in Kubernetes.
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: What programming languages are you most proficient in and why?
- Answer aloud, timed: Describe a challenging bug you faced and how you resolved it.
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: System Design / Architecture
- Answer aloud, timed: How would you design a URL shortening service?
- Answer aloud, timed: Discuss the trade-offs of using microservices versus a monolithic architecture.
Deliverable: Spoken answers to 2 reported System Design / Architecture question(s), under time.
07Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a situation where you had to lead a project. What was your approach?
- Answer aloud, timed: How do you handle conflicts in a team setting?
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 a situation where you had to lead a project. What was your approach?
Describe a situation where you had to lead a project. What was your approach?
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 conflicts in a team setting?
How do you handle conflicts in a team setting?
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?
Can you provide an example of how you influenced a decision within your team?
Can you provide an example of how you influenced a decision within your team?
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 excel in your work?
What motivates you to excel in your work?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you prioritize tasks in a fast-paced environment?
How do you prioritize tasks in a fast-paced environment?
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 make a difficult technical decision. What factors did you consider?
Describe a time when you had to make a difficult technical decision. What factors did you consider?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
Describe a situation where you had to lead a project. What was your approach?
- 02
How do you handle conflicts in a team setting?
- 03
Can you provide an example of how you influenced a decision within your team?
- 04
What motivates you to excel in your work?
What is the typical interview difficulty for this position?
The interviews for the Software Engineer position at Dust are generally considered to be of average to difficult difficulty, reflecting the rigorous evaluation of both technical skills and cultural fit.
Dust Software Engineer candidate reports ↗How much preparation time is typical?
Candidates often spend several weeks preparing, focusing on technical skills, system design, and behavioral questions. Engage in mock interviews and coding practice to enhance your readiness.
Dust Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates demonstrate not only strong technical proficiency but also the ability to communicate effectively, work collaboratively, and align with Dust's values.
Dust Software Engineer candidate reports ↗What is the company culture like at Dust?
Dust fosters a collaborative and innovative culture, encouraging engineers to take ownership of their projects and contribute to a positive team environment.
Dust Software Engineer candidate reports ↗What is the typical timeline from initial screen to offer?
The interview process can take several weeks, depending on scheduling and the number of rounds involved. Stay in touch with your recruiter for updates.
Dust Software Engineer candidate reports ↗Are there remote work options available?
Dust offers flexible work arrangements, including remote and hybrid options, depending on the team's needs and the candidate's location.
Dust Software Engineer candidate reports ↗How many rounds is the Dust Software Engineer interview process?
Candidates report 4 stages: HR Screening, Technical Interviews, System Design Exercises, and Interviews with Senior Leadership. The interview process section above breaks down what each stage covers.
Dust Software Engineer candidate reports ↗What topics come up in the Dust Software Engineer interview?
Dust Software Engineer interviews most often cover TypeScript, React.js, Kubernetes, PostgreSQL, and Full-stack ownership, based on topics extracted from real candidate reports.
Dust 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.
- 01Dust 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.
ScienceLogic Software Engineer Interview Guide
What ScienceLogic asks Software Engineer candidates, from reported rounds and questions.
Vercel Software Engineer Interview Guide
Debugging practice for Vercel software engineer prep built on a reproduction you trust, narrowing to the smallest failing input, and changing one variable per run so the result stays attributable.
XYZ Software Engineer Interview Guide
What XYZ asks Software Engineer candidates, from reported rounds and questions.
Tredence Software Engineer Interview Guide
What Tredence asks Software Engineer candidates, from reported rounds and questions.