Wave · Software Engineer
Updated · 2026-09-24

Wave Software Engineer
Interview Guide

THE 60-SECOND BRIEF

A Software Engineer at Wave is responsible for building and scaling the technology that makes financial services affordable and accessible to millions of users across Africa. Unlike traditional fintech platforms, Wave operates its own end-to-end mobile money infrastructure, which requires engineers to solve complex problems in transactional integrity, offline-first synchronization, high-concurrency ledger systems, and low-latency API design. Every line of code you write directly impacts the ability of merchants, agents, and everyday users to safely send, receive, and store money.

If the seat owns a service boundary, scope your preparation toward failure behaviour rather than topology. Retrying over an at-least-once channel produces duplicates by construction, so a retry policy is only as safe as the idempotency key underneath it.

Wave candidates report 5 rounds · ≈ 4-6 weeks. The stages below are what candidates describe, not a published process.

Make every money-moving endpoint idempotent by keyReconcile the ledger against processor settlement filesModel money movement as balanced double-entry postings

38 min read

Practice 14 Software Engineer prompts
1Company bank questionsSnapshot · Oct 5, 2026 PT
14Practice promptsAcross five skill areas
3With worked solutionsIncluded in the practice prompts

A Software Engineer at Wave is responsible for building and scaling the technology that makes financial services affordable and accessible to millions of users across Africa. Unlike traditional fintech platforms, Wave operates its own end-to-end mobile money infrastructure, which requires engineers to solve complex problems in transactional integrity, offline-first synchronization, high-concurrency ledger systems, and low-latency API design. Every line of code you write directly impacts the ability of merchants, agents, and everyday users to safely send, receive, and store money.

As a Software Engineer, you will join a highly autonomous, mission-driven team that values practical execution over theoretical perfection. You will work on core product features, scaling payment rails, and optimizing system reliability to support a rapidly expanding user base. This role is highly cross-functional, requiring close collaboration with product managers, operations teams, and other engineering squads to build products that work seamlessly, even under challenging network conditions in emerging markets.

The engineering culture at Wave is deeply rooted in pragmatism, simplicity, and user focus. Candidates report that Wave favors clean, maintainable code and sound system design over complex abstractions or trendy tech stacks. If you are excited about solving real-world infrastructure challenges that drive financial inclusion and economic growth, this role offers an incredibly rewarding and high-impact environment.

01

Recruiter Call

reported

Half of this call is the part candidates treat as small talk: start date, notice period, work authorisation and its timing, location and time zone, on-call, and the number. Those are what kill offers late, after several engineers have each spent a day. Surfacing a hard constraint now costs you nothing and occasionally buys you something, since a loop compressed to fit a competing deadline can usually only be arranged if it is asked for early. The common failure is deflecting the compensation question twice, then discovering at offer stage that the band never reached your number.

What to demonstrate

  • Whether your hard constraints are compatible with the role before a loop gets booked: earliest start, notice period, what authorisation you hold and when it needs action, days on site, willingness to carry a pager
  • Whether you give a compensation range with something behind it, such as current total compensation or a competing timeline, rather than leaving the band untested
  • Whether your stated timeline is real, since a competing deadline raised now is something scheduling can sometimes work around and the same deadline raised at offer stage usually is not

How to prepare

  • Write each constraint down in one line before the call and state them as facts rather than negotiating them live under a question you were not expecting
  • Set your range from two or three current data points for that level and location, and name the structure you are quoting in, so the number is comparable to the one they are holding
  • If another process is running, say where it stands and by when, and ask directly whether this loop can be scheduled inside that window
PracHub interview research ↗
02

Take-Home Assignment

reported

A deadline measured in days usually covers work measured in hours, and treating the calendar as the effort budget is what produces an over-built submission. Structure out of proportion to the problem reads as poor judgement about cost: an interface with one implementation, a configuration layer for values that never vary, a dependency added for something the standard library already does. The opposite failure, one long function carrying everything, is read the same way. Aim for the least structure that lets you write the tests you want, and record the abstraction you did not build alongside the condition that would justify it.

What to demonstrate

  • Whether each layer, interface and configuration point earns its place against the problem as stated, rather than against a larger imagined version of it
  • Whether every third-party dependency is doing work you would not want to write and maintain, given that each one costs the reviewer an install and a version to trust
  • Whether the work is finished, since a narrower scope completed with tests and a README reads better than a broader one left half-wired
  • Whether the things you chose not to build are recorded, so an omission reads as a decision rather than as something you ran out of time for

How to prepare

  • Write down what done means as a list of behaviours before you open an editor, then stop at that line even when calendar time is left
  • Open a past project of yours, delete every abstraction that has exactly one implementation and one caller, and read the result; that tells you where your own proportion line actually sits
  • Before adding a dependency, write down what it saves you and what the standard library would cost instead, and keep it only when that comparison favours it
PracHub interview research ↗
03

Live Pair Programming

reported

An unlabelled round is first an information problem, and the cheapest information is free. Whoever schedules it can usually tell you how long it runs, who will be in the room and what they work on, whether you will be writing code and in what environment, and whether anything is being sent beforehand. Ask in writing so the answer is on record, then prepare for the two or three formats those answers still leave open instead of betting on one. What separates a strong candidate is not guessing right; it is having an opening that works whichever one it turns out to be.

What to demonstrate

  • Whether you can start work from an ambiguous brief, since tolerating a vague scope without stalling is the same thing the job asks for
  • Whether the questions you asked beforehand were ones that change your preparation, such as duration, medium and who is joining, rather than ones whose answers you could not have acted on
  • Whether you adapt when the round turns out to be something other than what you were told, instead of spending the first ten minutes visibly recalibrating

How to prepare

  • Send one short scheduling message asking four things: how long, who is joining and what they work on, whether you will be writing code and where, and whether to prepare anything in advance. Treat a vague reply as real information, since it means the round is loosely structured and you will be shaping it yourself.
  • Write one opening that works in any of the formats still open: restate in your own words what you have been asked to do, then ask which of two directions is more useful to them. Say it aloud until it stops sounding recited.
  • Set up for the two most likely formats before the call starts, with a blank editor in the language you would choose and a shared document you can type into, so a format surprise costs you nothing in the first minutes
PracHub interview research ↗
04

System Design Interview

reported

When a round has no standard shape, it is often there because something is still open: an area no earlier conversation reached, a round where the signal came out mixed, or a decision someone is not ready to make alone. Work out which by going back over what each earlier round actually covered rather than how it felt, and arrive able to give evidence on that point without being asked twice. Weak answers replay the loop's earlier material at the same depth. Strong ones go a level deeper and stay consistent with what you already said.

What to demonstrate

  • Whether your account of a project matches the one you gave earlier in the loop, since what you said before may be available to whoever runs this round
  • Whether you can go a level deeper on something already covered, reaching the decision and its alternatives rather than repeating the summary
  • Whether you state your own uncertainty accurately, including parts of a system you did not build and decisions you inherited, instead of claiming even ownership across all of it
  • Whether you can answer a question you handled poorly earlier by naming what you missed, rather than delivering a polished second version as if the first had not happened

How to prepare

  • Reconstruct the loop on one page: for each round, the questions you were asked and the answer you actually gave, not the better one you thought of afterwards. The gaps on that page are your best available guess at why this round exists.
  • Take the two claims you made earlier that carry the most weight and assemble the backing for each: the measurement, the date, what broke, the decision you would make differently now.
  • Write down the three facts about your work that must not drift between tellings, such as team size, timeline and your own role, and check your stories against that list rather than trusting recall under pressure
PracHub interview research ↗
05

Final Conversations

reported

Nobody in the room with you decides this. Interviewers typically write their rounds up separately, often before seeing anyone else's, and the outcome is settled later from those write-ups. A split panel gets resolved by whichever note carries specific evidence, so what you want out of each room is one concrete thing that person could write down: a bug you caught yourself, a trade-off you named, a decision you owned. The rest is arithmetic. The project you describe in a behavioural conversation is often the same system you sketched an hour earlier, and the two accounts have to agree.

What to demonstrate

  • Whether the scale, team size and timeline you attach to a project hold steady when that project resurfaces in a different round
  • Whether each interviewer leaves with a specific thing to cite rather than a general impression of competence
  • Whether a trade-off you defended in one round survives a challenge in another, instead of being quietly swapped for the answer the new interviewer seemed to want
  • Whether a question you have already answered earlier in the day gets the same answer at the same depth, without visible impatience

How to prepare

  • Write a one-page sheet per project fixing the figures you will quote — request volume, data size, team size, elapsed time, what broke — and say them aloud from the sheet until they come out identical every time
  • For each round on the schedule, decide in advance the one sentence you want in that person's notes, then check in a mock that you said it outright instead of leaving it to be inferred
  • Have someone ask you the same project question twice, an hour apart, and diff the two answers for numbers that moved or a trade-off that reversed
PracHub interview research ↗

PracHub editorial advice for the preparation topics above.

01

Calling a compensating action a rollback

A saga's compensation is a new, externally visible business event, not an undo. A refund after a capture leaves both movements on the customer's statement, may not return the scheme fee, and lands days later rather than immediately. Designing a multi-service flow as though the compensation restores the prior state produces flows that turn out to be unimplementable at the final step, when the thing that needs undoing has already left the building. The sequence has to be ordered so the irreversible step is last and the reversible ones precede it, with an explicit pending state shown to the customer while a compensation is in flight.

02

Writing the state change to the database and publishing the event in the same code path

No transaction spans a relational database and a message broker, so a crash between the two leaves one done and the other not, and the failure is asymmetric in both orderings: publish-then-commit invents events for state that never existed, while commit-then-publish silently loses events for state that does. Retrying the publish after the commit is not a fix, because the process can die before the retry runs. The working shape is an outbox row written inside the same transaction plus a relay that publishes it at least once, which makes consumer-side idempotency mandatory rather than optional. Note also that 'exactly-once' in a stream processor means exactly-once processing within that system's own read-process-write transaction, and says nothing at all about an external side effect such as charging a card.

03

Comparing floating-point values for equality, or holding money in them

Binary floating point cannot represent 0.1 exactly, so repeated addition drifts and an equality check fails on values that are mathematically equal. Store currency as integer minor units or a decimal type, and compare floats against a tolerance you chose for a stated reason.

04

Listing technologies instead of trade-offs

Name the property the design needs first, such as ordered range scans, multi-entity transactions, cheap appends, or a predictable p99, then pick something that provides it and say what it gives up in exchange. Almost any component is defensible once you state the requirement it satisfies and the one it sacrifices.

Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.

11 technical prompts3 include a worked solution

Implement cell dependency tracking in a spreadsheet application to ens…

medium
data structures and algorithms

Implement cell dependency tracking in a spreadsheet application to ensure that updates to one cell correctly trigger recalculations in dependent cells.

Approach
  1. Choose the data structure from the access pattern, not from familiarity.
  2. Restate the input: its shape, its size, and what is guaranteed about it.
  3. Name the brute-force solution and its complexity before improving on it.
Follow-up
  • How does this change if the input no longer fits in memory?
  • Which test case would catch an off-by-one here?

Build a terminal-based spreadsheet engine that can parse basic cell co…

medium
data structures and algorithms

Build a terminal-based spreadsheet engine that can parse basic cell coordinates and evaluate simple arithmetic formulas.

Approach
  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. Walk one small example through your approach before writing the whole thing.
  3. Name the brute-force solution and its complexity before improving on it.
Follow-up
  • Which test case would catch an off-by-one here?
  • How does this change if the input no longer fits in memory?

Design and build an API-driven engine capable of executing and validat…

medium
data structures and algorithms

Design and build an API-driven engine capable of executing and validating a turn-based game, such as Tic-Tac-Toe, ensuring proper state management.

Approach
  1. Walk one small example through your approach before writing the whole thing.
  2. State the target complexity and say which constraint rules the naive version out.
  3. Restate the input: its shape, its size, and what is guaranteed about it.
Follow-up
  • Which test case would catch an off-by-one here?
  • How does this change if the input no longer fits in memory?

Write a clean parser to handle a custom configuration or data format, …

medium
data structures and algorithms

Write a clean parser to handle a custom configuration or data format, ensuring graceful error handling for malformed inputs.

Approach
  1. Restate the input: its shape, its size, and what is guaranteed about it.
  2. State the target complexity and say which constraint rules the naive version out.
  3. Choose the data structure from the access pattern, not from familiarity.
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?

Rank merchants by unmatched break value in one streamed pass

mediumWorked solution
top-kheapstreamingspace-bounded

A reconciliation run streams up to 50 million break rows of (merchant_id, currency, delta_minor signed, break_type). Return the 50 merchants with the largest total absolute delta_minor in a single currency, from one pass, with memory that does not grow with merchant count — there are up to 8 million distinct merchants and room for roughly 200,000 counters. Give both an exact and an approximate design, state the error bound the approximate one actually guarantees, and say which you would put in the nightly job.

Approach
  1. Start by testing whether the constraint is real. Exact needs one hash map merchant_id -> int64 plus a size-50 min-heap: O(n) to aggregate, O(m log 50) to rank, O(m) space. At 8 million merchants and 16 bytes of payload that is a few hundred megabytes — quote the number before reaching for a sketch.
  2. If it genuinely does not fit, exact still costs only two passes or an external group-by: partition by hash(merchant_id) % P to disk, aggregate each partition independently, then merge with a K-way heap. This is the answer whenever exactness is non-negotiable, which for money it usually is.
  3. One-pass approximate: weighted Space-Saving with C counters. An item either hits an existing counter or evicts the minimum one and inherits its value as an over-estimate. With total weight W and C counters, every reported total over-estimates by at most W/C, and any merchant whose true total exceeds W/C is guaranteed to be in the table. Quote W/200,000 as a fraction of the day's break value.
  4. State what the bound does not give you: the ordering within the top 50 is not guaranteed, and a merchant just below the threshold can be missed entirely. The honest claim to an operations reader is 'contains everyone above 0.0005% of today's break value', not 'the top 50'.
  5. Decide the metric before either design, because sum(abs(delta)) and abs(sum(delta)) are different questions: a merchant with offsetting +1,000,000 and -1,000,000 breaks is top-ranked under the first and invisible under the second. Break work wants the first.
  6. Recommend exact (two-pass or external group-by) for the nightly job — it runs once, has hours of budget, and an analyst acts on its output. Keep the sketch for a live dashboard, where a cheap bounded approximation beats an exact number that is four hours stale.
Worked solution 25 min
  1. Fix the metric in writing as sum(abs(delta_minor)) per (merchant_id, currency), because that is what an analyst works from.
  2. Implement exact: hash-map aggregate, then a size-50 min-heap — push while the heap is under 50, then push-pop only when an item beats the root.
  3. Implement weighted Space-Saving with 200,000 counters over the same stream.
  4. Generate 50 million rows with a Zipfian merchant distribution near s = 1.1 so a few merchants dominate, then generate a uniform variant for contrast.
  5. Compare: how many of the exact top 50 the sketch recovers, and the largest observed over-estimate, against the W/C bound.
EXPECTED RESULTOn the Zipfian stream the sketch recovers all 50 and every reported total over-estimates by at most W/200,000. On the uniform stream it recovers materially fewer — which is the result that tells you the bound, not the benchmark, is what you may promise a reader.
Follow-up
  • Totals are now needed per currency as well as overall. What does that do to the key and to the counter budget?
  • Prove the Space-Saving over-estimate bound to me in two sentences.
  • The nightly job restarts halfway. Is the aggregate idempotent, and what does the heap do with a partially consumed stream?

Four days sample coding, design, fundamentals and the practical rounds at deliberately shallow depth, which is enough to surface the topics you did not know were in scope. That map, rather than a guess made on day one, decides where the last three days go.

Small steps. Visible outcomes.0 / 7 completed
ONE WEEK · YOUR PACE

Prepare, practise & reflect

One practical outcome each day. Spend longer where you need it.

0 / 7 done
01Coding, one pass at shallow depth
  • Solve one problem from each of six families, an array with two pointers, hash counting, binary search, a tree traversal, a graph traversal and one dynamic program, under a hard twenty-minute cap with no extensions, marking each finished, late, or stalled.
  • For every stall, write the exact move you could not make rather than the subject, so the note reads could not turn the recurrence into a loop rather than bad at dynamic programming.
  • Fix nothing today. The value of the pass is the unfixed record.

Deliverable: Six timed attempts marked finished, late or stalled, each stall carrying a named blocking move.

Practice prompt ↗Practice prompt ↗Worked solution ↗
02Design, one pass at shallow depth
  • Spend twenty minutes each on three different shapes, a read-heavy feed, a write-heavy ingest path, and something needing a transaction across two entities, stopping each at requirements, interface and data model.
  • After each, write the first question you could not answer, which is usually a number you could not estimate or a failure mode you had no vocabulary for.
  • Mark which of the three you would be most relieved not to be asked, and treat that as data rather than as a preference.

Deliverable: Three shallow designs, each with the first unanswerable question written at the bottom.

Practice prompt ↗Practice prompt ↗
03Fundamentals and the practical rounds
  • Answer eight short questions in writing at four minutes each, covering the material that fills the gaps between the big rounds: what happens between a URL and a rendered page, what an index costs on write, when a process is preferable to a thread, and what conditions a deadlock requires.
  • Do one thirty-minute practical task of the kind a take-home compresses: read an unfamiliar two-hundred-line file and write what it does, what you would change, and the one thing you remain unsure of.
  • Score every answer fluent, correct but slow, or absent, and keep the absent ones visible.

Deliverable: Eight scored short answers and one written reading of unfamiliar code.

Practice prompt ↗Practice prompt ↗
04The rounds that are about you, and the map
  • Deliver three behavioural answers aloud against a timer, a conflict, a failure you owned, and a decision made without enough information, marking any that ran past three minutes or contained no number.
  • Assemble the map: every marked item from days one to three on a single page, sorted by how likely it is to appear in your loop rather than by how uncomfortable it felt.
  • Choose exactly two areas for the remaining three days and write down what you are deliberately abandoning.

Deliverable: A one-page scored map of the whole surface area with two areas chosen and the rest explicitly abandoned.

Practice prompt ↗Practice prompt ↗Worked solution ↗
05First chosen area, to the depth you skipped
  • Work the higher-ranked area in four focused blocks, choosing items one level above where you stalled rather than repeating what already works.
  • After each block write the rule you extracted in one sentence with its precondition attached, since a rule carrying no precondition is exactly what fails under a variation.
  • Re-attempt the day-one or day-two item that exposed this area and compare against the original timing.

Deliverable: Four worked blocks, a timed re-attempt against the original, and three one-sentence rules with preconditions.

Practice prompt ↗Practice prompt ↗
06Second chosen area, where the gap is coverage rather than speed
  • Treat the second area differently from the first. Day five drilled something you could already half-do; this one is usually a topic you had simply never met, so build one worked reference example end to end and keep it, rather than attempting six problems badly.
  • Write down the vocabulary you were missing on day two or three, five terms at most, each with the one sentence that makes it usable in an answer rather than the textbook definition.
  • Redo the shallow attempt that exposed this area and note whether you now fail later in the problem, because moving the failure point is the realistic gain from a single day and is worth more than a score that did not change.

Deliverable: One worked reference example for the newly covered area, a five-term vocabulary list, and a note on where the failure point moved.

Practice prompt ↗Practice prompt ↗
07Reassemble the loop
  • Sit two rounds back to back with no gap, ordering them so the area you chose second comes last, because the map was built from rested, isolated attempts and the loop will reach your weaker area when you are already spent.
  • Write where the second round suffered from the first, which is normally the point at which structure collapses into narration.
  • Reduce the week to one page holding only the rules you can state without reading them.

Deliverable: Mock notes on cross-round carryover plus a one-page card of rules you can recite from memory.

Practice prompt ↗Practice prompt ↗Worked solution ↗

Expand any day for tasks and deliverables. Your progress is saved on this device.

Team size, service count and tickets closed say very little. Seniority shows in the decision you owned: what you chose not to build, which constraint you traded away, whose objection you had to resolve before anything could move. A large project where you executed someone else's plan is a small story.

Tell me about a time when you had to make a difficult technical trade-…

medium
behavioural and engineering judgement

Tell me about a time when you had to make a difficult technical trade-off to meet a critical product deadline. What was the outcome?

Approach
  1. Give the blast radius: what could have broken, and what you measured.
  2. Name the disagreement and how you resolved it with evidence.
  3. State the situation in two sentences and spend the rest on the reasoning.
Follow-up
  • What did you decide not to do, and why?
  • What would you do differently if you ran that again?

Why do you want to work at Wave, and how do you view our mission of pr…

medium
behavioural and engineering judgement

Why do you want to work at Wave, and how do you view our mission of providing low-cost financial services?

Approach
  1. State the situation in two sentences and spend the rest on the reasoning.
  2. Pick a story where you made the decision, not one where you watched it.
  3. Give the blast radius: what could have broken, and what you measured.
Follow-up
  • How did you know your change caused the improvement?
  • What would you do differently if you ran that again?

Unblock an engineer on double-posted interest accrual

easy
mentoringidempotent batchaccrual

An engineer two years into their career has a nightly accrual job that double-posts interest for some accounts whenever the batch is partially re-run after a failure. They have spent two days on it and are now rewriting the batch runner. You have 30 minutes. Describe how you have unblocked someone without taking the keyboard: the question you asked first, how you chose between handing over the answer and handing over the method, what you left behind so the next person does not get stuck here, and how you knew they were unblocked rather than deferring to you.

Approach
  1. The probe is whether you grow people or absorb their work. Open with the diagnostic question rather than the solution: ask what identifies one unit of work, because the answer reveals immediately that accrual is keyed by (account_id, accrual_date) and that the job has no uniqueness on it.
  2. Redirect from the runner to the write. The rewrite is aimed at never re-running, which is unachievable; the property needed is that re-running posts nothing new, enforced by a unique index on (account_id, accrual_date) or by passing the same idempotency key to the ledger posting operation so the second attempt is a no-op rather than a second transaction.
  3. Choose deliberately between answer and method and say why. Two days in and blocked on the wrong layer is usually the moment to hand over the framing (restartable at account granularity, idempotent per unit) and let them write the code, because the lesson is the framing and the code is the easy part.
  4. Leave an artefact, not a conversation: a test that re-runs one account twice and asserts one posting, plus two lines in the runbook stating that per-account work must be idempotent because the batch is always partially re-run.
  5. Check that they are unblocked by asking them to predict the failure that the fix does not cover, such as a mid-run rate change producing two different correct amounts for the same key. If they can find the next edge themselves, they own it; if they ask you to confirm each step, they are deferring and you have hidden the block rather than removed it.
  6. Say what you deliberately did not do. Not fixing it yourself before the standup is the whole exercise, and a strong answer names the pressure it resisted.
Follow-up
  • The unique index rejects the re-run, but the first run posted the wrong amount. How should the job behave now?
  • How do you tell whether you taught them or just unblocked them, a month later?
  • The same engineer is blocked again next week on a similar problem. What does that tell you about your first intervention?
  • 01

    Tell me about a time when you had to make a difficult technical trade-off to meet a critical product deadline. What was the outcome?

  • 02

    Why do you want to work at Wave, and how do you view our mission of providing low-cost financial services?

  • 03

    An engineer two years into their career has a nightly accrual job that double-posts interest for some accounts whenever the batch is partially re-run after a failure. They have spent two days on it and are now rewriting the batch runner. You have 30 minutes. Describe how you have unblocked someone without taking the keyboard: the question you asked first, how you chose between handing over the answer and handing over the method, what you left behind so the next person does not get stuck here, and how you knew they were unblocked rather than deferring to you.

PracHub interview preparation framework ↗
Is this an official Wave interview guide?

No. It is PracHub's own research and practice material for the Software Engineer role at Wave. Rounds and questions reflect what candidates have reported, not a process Wave has published, and they change over time. Confirm the current format and scope with your recruiter.

PracHub interview research ↗
Can I use any programming language for the take-home task and pairing session?

Wave supports and recommends either Python or JavaScript/TypeScript for its coding exercises. This lets interviewers pair with you, run your code locally, and give useful feedback.

PracHub interview research ↗
How much time should I spend on the take-home coding assignment?

The take-home task is designed to take approximately 2 to 3 hours. Focus on building a simple, working solution that meets the core specifications rather than spending extra time on unrequested features.

PracHub interview research ↗
What is the pair-programming session like?

The pair-programming session is a 2-hour collaborative coding call with a Wave engineer. You will share your screen, walk through your take-home solution, and work together to implement new requirements. It is a highly conversational, interactive session designed to simulate a normal working day.

PracHub interview research ↗
Are there Leetcode-style algorithmic rounds in the process?

No. Candidates report that Wave's interview loop does not use standard Leetcode or competitive programming puzzles. The technical evaluations focus on practical software engineering, such as building APIs, parsing data, structuring code, and designing systems.

PracHub interview research ↗
Sources & methodology 3 sources ↗

Official role evidence, timestamped platform data and clearly labeled preparation advice.