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Akuna Capital Software Engineer Interview Guide 2026

Complete Akuna Capital Software Engineer interview guide. Learn about the interview process, question types, and preparation tips. Practice 20+ real intervie...

Topics: Akuna Capital, Software Engineer, interview guide, interview preparation, Akuna Capital interview

Author: PracHub

Published: 3/21/2026

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Akuna Capital Software Engineer Interview Guide 2026

Complete Akuna Capital Software Engineer interview guide. Learn about the interview process, question types, and preparation tips. Practice 20+ real intervie...

4 min readUpdated Apr 12, 202620+ practice questions
20+
Practice Questions
3
Rounds
4
Categories
4 min
Read
Contents
TL;DRSample QuestionsAbout the Interview ProcessWhat to expectInterview roundsOnline assessmentTechnical phone screen or live coding roundSystem designBehavioral or fit interviewFinal round or onsiteWhat they testHow to stand outFAQ
Practice Questions
20+ Akuna Capital questions
Akuna Capital Software Engineer Interview Guide 2026

TL;DR

Akuna Capital’s Software Engineer interview process is less standardized than many big tech loops. The exact path varies by team, language, and level, but most candidates see an online assessment first, followed by a technical interview, then a final round that may combine coding, system design, and behavioral conversations. The standout theme is practicality. Akuna often tests whether you can build correct, performance-aware code under realistic constraints, not just solve polished algorithm puzzles. You should also expect role-specific variation. C++ candidates often face lower-level and performance-focused questions, while Python, backend, and full-stack candidates may see SQL, OOP, or implementation tasks closer to real feature work.

Interview Rounds
HR ScreenTake-home ProjectTechnical Screen
Key Topics
Coding & AlgorithmsSystem DesignData Manipulation (SQL/Python)Other / Miscellaneous
Practice Bank

20+ questions

Estimated Timeline

2–4 weeks

Browse all Akuna Capital questions

Sample Questions

20+ in practice bank
System Design
1.

Design an order-matching engine

HardSystem Design

In-Memory Limit Order-Matching Engine (Limit Order Book)

Context

You are asked to design and implement an in-memory, single-instrument limit order book that supports live order matching at scale. Orders match on arrival using price–time priority, with support for partial fills, market orders, and cancellations. The system should be efficient enough to handle up to 1e6 live resting orders and ~1e5 operations per second.

To support self-trade prevention deterministically, assume each order includes a traderId (accountId). If traderId is omitted in your chosen interface, briefly justify an alternative.

Requirements

  • Core APIs

    1. placeOrder(orderId, traderId, side, price, quantity, type)
      • side ∈ {BUY, SELL}
      • type ∈ {LIMIT, MARKET}
      • price is ignored for MARKET orders
    2. cancelOrder(orderId)
    3. topOfBook(): return best bid and best ask as (price, totalQuantity)
    4. depth(k): return top k price levels on each side as lists of (price, totalQuantity), best-first
  • Matching Rules

    • Price–time priority within each price level (FIFO by arrival).
    • Match aggressively upon arrival; allow partial fills.
    • Unfilled remainder of a LIMIT order rests on the book; MARKET orders never rest.
    • MARKET orders sweep price levels until filled or the book is empty.
    • Prevent self-trade: the incoming order must not trade against resting orders from the same traderId. Define a clear policy (e.g., cancel resting, cancel incoming, or decrement incoming).
  • Performance Targets

    • Up to 1e6 live resting orders, ~1e5 ops/sec.
    • Aim for O(log P) insert/cancel where P = number of price levels.
    • O(1) top-of-book read.
    • No linear scans over orders for cancel or best-price lookup.
  • Concurrency

    • Single-threaded matching engine is acceptable.
    • Describe how to extend to multi-threading while preserving determinism.
  • Deliverables

    • Specify data structures (e.g., price-indexed trees with FIFO queues per level).
    • Implement core APIs (clean, production-minded code is a plus).
    • Analyze time/space complexity.
    • Explain strategies to remain robust under adversarial input patterns.
Solution
2.

Implement a two-user communications handler

MediumSystem Design

One-at-a-time Two-User Communications Handler

Context

Design and implement a communications handler that supports exactly one active conversation at a time between two distinct users. Each user is represented by a Caller with a unique name.

Requirements

  1. Define a custom exception type:

    • ConnectionException that accepts a single error-message string.
  2. Define an abstract base class CommsHandlerABC with these abstract methods:

    • connect(user1: Caller, user2: Caller) -> str
      • Establish a call and return a success message, or raise ConnectionException.
    • hangup(user1: Caller, user2: Caller) -> str
      • End the call and return a success message, or raise ConnectionException.
    • clear_all() -> None
      • Force-clear any existing call and reset state.
  3. Implement a concrete CommsHandler that enforces:

    • Only one active call at any time.
    • A user cannot connect with themselves.
    • While a call is active, any new connect attempt fails with error: "Connection in use. Please try later".
    • hangup succeeds only for the currently connected pair (order-agnostic). Otherwise raise: "{A} and {B} not found in the communication channel." (note trailing period).
    • clear_all resets the state immediately.

I/O Behavior

  • Commands to support (semicolon-separated in a single line or as separate lines):
    • connect <user1> <user2>
    • hangup <user1> <user2>
    • clear_all
  • Output:
    • On success: prefix with "Success: " and include the handler's returned message.
    • On error: prefix with "Error: " and include the exception's message.

Sample

  • Sample Input:
    • connect Alice Bob; connect Carol Dave; hangup Alice Bob; connect Carol Dave; hangup Carol Dave; connect Eve Eve; hangup Alice Bob
  • Expected Output:
    • Success: Connection established between Alice and Bob; Error: Connection in use. Please try later; Success: Alice and Bob are disconnected; Success: Connection established between Carol and Dave; Success: Carol and Dave are disconnected; Error: Eve cannot connect with Eve; Error: Alice and Bob not found in the communication channel.
Solution
Coding & Algorithms
3.

Compute max profit across dated stock quotes

MediumCoding & Algorithms

You are given an unsorted list of price records for multiple stocks, each record as (date, symbol, price). Dates may be repeated across different symbols. Design an algorithm to compute the maximum profit and an explicit trading plan under these rules: (

  1. You can hold at most one share across all symbols at any time. (
  2. You may perform unlimited buy/sell transactions, but every buy must occur on a strictly later date than the previous sell (no same-day buy-and-sell for profit), and short selling is not allowed. (
  3. Assume prices are daily closes; if duplicates or missing dates occur, specify how you handle them. Return: (a) the maximum achievable profit, and (b) the sequence of trades (for each trade, list buy date, buy symbol, buy price, sell date, sell price). Explain your algorithm, prove correctness, and analyze time and space complexity. Discuss edge cases such as unsorted input, duplicate (date, symbol) rows, and non-monotonic dates.
Solution
4.

Implement a ring buffer

MediumCoding & Algorithms

Implement a fixed-capacity circular buffer (ring buffer) supporting push, pop, peek, isEmpty, isFull, and size in O(

  1. time using an array. Define and implement the behavior when pushing to a full buffer (either overwrite the oldest element or reject the push—choose and document). Provide iteration over current elements in logical order. Discuss how you would extend it to a thread-safe version with optional blocking push/pop using condition variables, and analyze time/space complexity.
Solution
Data Manipulation (SQL/Python)
5.

Identify false MySQL foreign key statement

MediumData Manipulation (SQL/Python)

MySQL: Which of the following statements is false? A) A column might have a foreign key reference to itself. B) MySQL supports foreign key references between one column and another within a table. C) Corresponding columns in the foreign key and the referenced key must have similar data types. D) None of the above; all statements are correct. Select the single false statement and briefly justify.

Solution
6.

Evaluate SQL expressions for zero

MediumData Manipulation (SQL/Python)Coding

Which of the following SQL expressions evaluate to 0? Evaluate each independently, justify the result, and note any dialect-specific behavior (e.g., MySQL type coercion rules):

  1. SELECT '0' = 0;
  2. SELECT 0 IS FALSE;
  3. SELECT '0' IS FALSE;
  4. SELECT STRCMP('0', 0). State your assumptions about the SQL dialect.
Solution
Other / Miscellaneous
7.

Implement React check-in/out month dropdowns

MediumOther / Miscellaneous

React UI Enhancement: Check-in/Check-out Month Dropdowns

Context

You are working on a hotel reservation form in a React codebase. The form needs two new, controlled dropdowns for selecting months: one for Check-in and one for Check-out. The selections must respect constraints based on the current month and each other. Assume the form already has state management and an onSubmit handler; you will integrate with it via controlled props/callbacks or context.

Requirements

  1. Render two month dropdowns (January–December) integrated with the existing form.
  2. Enforce that the selected Check-out month is not earlier than the Check-in month; disable invalid options accordingly.
  3. Disable months earlier than the current month for both dropdowns.
  4. Keep components controlled and synchronize selections with the provided state management (props/callbacks or context) so the booking form receives updates.
  5. Validate on change and on submit; block submission and show inline errors if constraints are violated.
  6. Ensure keyboard accessibility and proper ARIA labels.
  7. Add unit tests covering state updates, disabled options, and validation behavior.

Notes/Assumptions:

  • Months are for the current year only. Without year selection, the constraint is month-based only (e.g., September ≥ August). If you later add years, update the comparison accordingly.
  • Use native HTML select elements for built-in keyboard accessibility.
Solution

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About the Interview Process

What to expect

Akuna Capital’s Software Engineer interview process is less standardized than many big tech loops. The exact path varies by team, language, and level, but most candidates see an online assessment first, followed by a technical interview, then a final round that may combine coding, system design, and behavioral conversations. The standout theme is practicality. Akuna often tests whether you can build correct, performance-aware code under realistic constraints, not just solve polished algorithm puzzles.

You should also expect role-specific variation. C++ candidates often face lower-level and performance-focused questions, while Python, backend, and full-stack candidates may see SQL, OOP, or implementation tasks closer to real feature work.

Interview rounds

Online assessment

The online assessment is usually the first step and commonly runs anywhere from 45 minutes to 2 hours. It is typically HackerRank-style, but the content can differ a lot by team. Some candidates report multiple coding questions, while others get one long implementation task with detailed requirements. This round mainly checks coding fluency, correctness under time pressure, and whether you can write solid code in the target language.

Technical phone screen or live coding round

The next round is usually a 30 to 45 minute technical screen with an engineer in a shared editor or code-pair format. You may solve one or more coding problems, discuss your resume, or answer language-specific questions depending on the team. Interviewers are usually looking for problem-solving process, communication while coding, clean implementation, and awareness of complexity and edge cases.

System design

For many full-time and mid-level roles, Akuna includes a dedicated 45 to 60 minute system design interview, either before the final round or as part of it. This discussion tends to focus on scalability, reliability, latency, and practical engineering tradeoffs rather than abstract architecture buzzwords. Common themes include caching, rate limiting, distributed systems basics, and designing services that behave well under load.

Behavioral or fit interview

A behavioral or hiring manager conversation is often part of the process, either as a standalone 30 minute round or folded into the final loop. This round evaluates how you communicate, why you want Akuna specifically, how you work with others, and whether you can operate well in a fast-moving environment. You should expect questions about projects, teamwork, conflict, ownership, and interest in trading or finance-driven engineering.

Final round or onsite

The final stage typically lasts from about 90 minutes to 3 hours and may include several back-to-back interviews. In some cases, it is a multi-panel loop with technical coding, system design, and fit conversations all in one session. Some candidates also report in-person finals for certain teams. This round tests sustained technical depth, adaptability across interview styles, and whether you can maintain clarity and judgment through a longer evaluation.

What they test

Akuna consistently tests practical software engineering fundamentals with a strong emphasis on correctness, efficiency, and implementation quality. You should be ready for data structures and algorithms, but not in isolation. Interviewers often care just as much about whether you can translate messy requirements into working code, reason through edge cases, debug under pressure, and explain tradeoffs clearly. Complexity analysis matters, but it usually comes after getting the solution right.

The technical content becomes more specialized based on the team. If you are interviewing for a C++ role, expect deeper questions on pointers, memory management, STL, low-level correctness, and performance-sensitive coding. For Python, backend, or full-stack roles, you may be tested on Python OOP, SQL, backend service logic, and sometimes frontend or React-related implementation. Akuna also seems to care about systems thinking. Concurrency, throughput and latency tradeoffs, caching, load balancing, fault tolerance, API design, and distributed systems basics all show up in interviews. Because the firm builds technology for trading, you should also be prepared for scenarios where performance and correctness matter together, such as exchange-style components or high-throughput services.

How to stand out

  • Match your prep to the exact team and language track. If you are interviewing for C++, go deep on memory, pointers, STL, and performance. If it is Python or full-stack, review OOP, SQL, and practical service or UI implementation.
  • Practice longer, requirement-heavy coding tasks instead of only short LeetCode problems. Akuna’s assessments often reward candidates who can read specs quickly and implement accurately without losing structure.
  • Narrate your decisions as you code. Interviewers care about how you reason through tradeoffs, test cases, and complexity, not just whether you eventually arrive at working code.
  • Write code that looks production-ready. Use clear naming, sensible structure, and explicit edge-case handling so your solution feels like something a team could actually build on.
  • Prepare for performance-sensitive discussion even in standard SWE interviews. Be ready to explain how your design or implementation affects latency, throughput, and resource usage.
  • Have a sharp answer for why Akuna and why trading-tech engineering. You will stand out if you connect your interests to high-impact, fast-feedback, performance-critical systems instead of giving a generic finance answer.
  • Rehearse switching gears across coding, design, and behavioral topics. Akuna’s final rounds can mix formats, so you need to stay composed and clear even when the interview style changes quickly.

Frequently Asked Questions

It is definitely on the harder side, mostly because the bar is high and the pace can feel intense. The coding questions are usually very doable if you have strong fundamentals, but they expect clean thinking, speed, and solid debugging. You also get tested on practical engineering judgment, not just LeetCode tricks. Compared with many big tech interviews, it feels more trading-firm style: sharp, direct, and less forgiving if you freeze or communicate poorly.

From what I saw, the process usually starts with a recruiter screen, then an online assessment or coding screen. After that, there is often a technical phone interview with live coding and discussion around data structures, algorithms, and language-specific knowledge. Final rounds can include multiple technical interviews, sometimes a systems or practical engineering round, and a behavioral conversation. The exact order can vary by team, but expect a mix of coding, debugging, and problem-solving under time pressure.

If your algorithms and coding speed are already decent, two to four focused weeks can be enough. If you are rusty, give yourself six to eight weeks. What helped me most was doing timed coding practice, reviewing core data structures, and brushing up on my main language in detail. Akuna-style interviews reward people who can think fast without getting messy, so short daily practice works better than occasional long study sessions. I would also spend time explaining solutions out loud.

The biggest ones are data structures and algorithms, especially arrays, strings, hash maps, trees, graphs, heaps, sorting, searching, and complexity analysis. Beyond that, language fluency matters a lot. If you say you know C++, Java, or Python, expect questions about how it actually works in practice. Debugging and writing correct code quickly also matter more than people expect. For some teams, networking, concurrency, operating systems, and basic system design can come up, but strong coding fundamentals carry the most weight.

The biggest mistake is treating it like a pure puzzle interview and ignoring communication. If you stay silent, jump into code too early, or cannot explain tradeoffs, it hurts. Another common problem is writing rushed code with edge-case bugs and never testing it. People also get knocked out by weak fundamentals, especially time complexity or basic language behavior. I also saw candidates stumble when they got flustered by hints. Akuna interviews reward calm, structured thinking more than flashy but messy solutions.

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