Top 22 Revolut Software Engineer Interview Questions + Guide in 2024

Founded as a transparent solution to expensive cross-border spending, Revolut currently helps make 400 million transactions a month. Its services were initially limited to the UK, but Revolut now has expanded to 37 countries, including the US. Revolut also has grown its catalog to cover stock exchanges and cryptocurrency trades.

As an app-based business, Revolut significantly depends on software engineers like yourself to elevate the product experience, develop backend services, and establish server-side integrations. So, the interview for the software engineer role will be a bit detailed and thorough, requiring you to have a degree of understanding of several programming languages, algorithms, and frameworks.

In this article, we’ll delve deeper into the interview process for the Revolut software engineer role and discuss a few recurring behavioral and technical questions.

As a software engineer candidate, you’ll be thoroughly vetted to assess your technical prowess and alignment with Revolut’s culture. Depending on the category of software engineer role (Android, backend, data, Java, etc.), expect a multi-stage interview process with an assortment of phone and on-site rounds. Here is how it typically goes:

Filling Out the Application Form

Revolut has embraced a streamlined approach to job applications with a single-page online form. Apart from leaving contact details and uploading your CV, you’ll need to answer a few surface-level questions about the specific software engineer job role. If you haven’t been approached by a Revolut recruiter, you can find the job you want at Revolut Career Portal.

Consider going the extra mile to upload an updated and tailored CV to increase your chance of getting shortlisted for the primary interview rounds.

Telephone Screening Round

Someone from the Revolut hiring team will contact you to verify the details of your CV and ask a few pre-defined questions regarding your experience in the industry and in specific roles. Hiring managers often bypass this step and make direct contact to accelerate the process. If this happens, expect behavioral questions and a discussion about your technical background.

Technical Problem-Solving Round

Next, you’ll move on to the technical problem-solving stage, engaging in live coding challenges, take-home assignments, and technical discussions. Depending on the job role, specific programming language-related questions will also be asked. Be prepared to face multiple Revolut software engineer interviewers.

On-Site Assessment Centre

After successfully passing the previous interview stages, you will be invited to your nearest Revolut assessment center. During this session, you’ll meet the hiring manager and other key stakeholders for multiple one-on-one interviews and a group assessment.

Partner Interview

This is potentially the final stage of the Revolut software engineer interview. You’ll meet senior engineers and team directors to discuss your responsibilities and answer behavioral questions. Following that, you’ll receive a call or email confirming your employment details.

Revolut software engineer interviews usually revolve around SQL, Python, and algorithm problems, followed by behavioral questions. Here are a few of them discussed with ideal answers:

1. How do you prioritize multiple deadlines and stay organized when you have multiple deadlines?

This question will assess your ability to manage time effectively and stay organized under pressure. These are essential skills for a software engineer at Revolut, where development is fast-paced.

How to Answer

Mention how you prioritize tasks based on their urgency and impact on project milestones. Discuss tools like task trackers or project management software to track deadlines and progress.

Example

“I prioritize multiple deadlines by first assessing the urgency and importance of each task. Then, I break down each task into smaller, manageable subtasks and allot time accordingly. Using tools like Trello or Jira helps me stay organized by visualizing deadlines and tracking progress.”

2. What is your approach to resolving conflict with co-workers or external stakeholders, partially when you don’t really like them?

Revolut may ask this question to gauge your ability to handle conflicts diplomatically, crucial in a team environment.

How to Answer

Discuss how you approach conflicts calmly and objectively, finding common ground and understanding the perspectives of others, even if you don’t particularly like them.

Example

“In resolving conflicts, I maintain a professional demeanor and address the issue objectively. I work to understand the other person’s perspective and find common ground to reach a resolution, even when personal feelings are involved.”

3. Tell me about a time when your colleagues disagreed with you. How did you bring them into the conversation and address their concerns?

This question evaluates your communication and collaboration skills, essential for fostering a productive team environment at Revolut.

How to Answer

Mention your listening skills and how you use them to address your colleagues’ concerns and perspectives. Let the interviewer know you encourage open dialogue and collaboration to find a mutually acceptable solution.

Example

“When my colleagues disagreed with me, I initiated a discussion to understand their concerns. By listening and considering their perspectives, we found common ground and adjusted to address their concerns.”

4. Describe a situation where you faced a technical challenge or obstacle in a project. How did you approach solving it, and what was the outcome?

As a software engineer candidate at Revolut, you may be asked this question to evaluate your problem-solving skills and resilience, crucial for tackling complex projects.

How to Answer

Explain how you broke down the technical challenge into smaller, manageable components. Mention research and resources like documentation, forums, or talk with colleagues. Discuss how you iterated and tested potential solutions until the challenge was resolved, keeping stakeholders informed of progress.

Example

“In a recent project, I faced a technical challenge with optimizing database queries for performance. I broke down the problem, researched optimization techniques, and consulted with senior engineers. Through experimentation and testing, we implemented query optimizations that significantly improved performance and met project requirements.”

5. How would you explain a complex technical concept or solution to a non-technical audience, ensuring clarity and understanding?

This question checks your communication skills and ability to convey complex technical concepts clearly and understandably for collaborating with non-technical stakeholders at Revolut as a software engineer.

How to Answer

Mention tailoring your explanation to the audience’s level of understanding, avoiding jargon and technical details. Discuss how you use analogies, visuals, or real-world examples to illustrate complex concepts.

Example

“When explaining technical concepts to non-technical stakeholders, I focus on simplicity and relevance. For example, when describing machine learning algorithms, I use everyday analogies like how recommendation systems work like personalized movie recommendations on streaming platforms, which resonates with non-technical audiences.”

6. Given the integer list nums with length n, create a function that converts each integer in the list into its corresponding Roman numeral representation. The Roman numeral symbols and corresponding values are provided in the table below. The function must be able to handle integers up to 1000.

Symbols	Values
I	1
IV	4
V	5
IX	9
X	10
XL	40
L	50
XC	90
C	100
CD	400
D	500
CM	900
M	1000

Examples:

Input:

nums = [1, 4, 179]

Output:

["I", "IV", "CLXXIX"]

Your interviewer for the software engineer role may ask this question to evaluate your ability to manipulate data structures and implement algorithms.

How to Answer

Create a function that iterates through the given integer list. Inside the loop, you can use a dictionary to map integer values to their corresponding Roman numeral symbols. Then, implement logic to convert each integer into its Roman numeral representation based on the provided table.

Example

roman_symbols_values = {
        "M": 1000,
        "CM": 900,
        "D": 500,
        "CD": 400,
        "C": 100,
        "XC": 90,
        "L": 50,
        "XL": 40,
        "X": 10,
        "IX": 9,
        "V": 5,
        "IV": 4,
        "I": 1,
    }

def integer_to_roman(n):
    roman_numeral = ""

    for symbol, value in roman_symbols_values.items():
        while n >= value:
            roman_numeral += symbol
            n -= value

    return roman_numeral

def convert_integers_to_romans(nums):
    roman_numerals = [integer_to_roman(num) for num in nums]
    return roman_numerals

7. Given a list of tuples featuring names and grades on a test, write a function normalize_grades to normalize the values of the grades to a linear scale between 0 and 1.

Example:

Input:

grades = [
    ('Jason', 94),
    ('Tessa', 80),
    ('Carla', 38),
    ('Matt', 43),
    ('Jessica', 100)
]

Output:

def normalize_grades(grades) - > [
    ('Jason', 0.9),
    ('Tessa', 0.68),
    ('Carla', 0.0),
    ('Matt', 0.08),
    ('Jessica', 1.0)
]

Your ability to manipulate data and perform mathematical operations will be assessed through this question by your Revolut interviewer.

How to Answer

Determine the minimum and maximum grades in the input list. Then, normalize each grade using the formula: (grade - min_grade) / (max_grade - min_grade). Finally, return the list of normalized grades.

Example

def normalize_grades(grades):
    min_grade = min(grade for _, grade in grades)
    max_grade = max(grade for _, grade in grades)
    normalized_grades = [(name, (grade - min_grade) / (max_grade - min_grade)) for name, grade in grades]
    return normalized_grades

# Test case
grades = [('Jason', 94), ('Tessa', 80), ('Carla', 38), ('Matt', 43), ('Jessica', 100)]
print(normalize_grades(grades))
# Output: [('Jason', 0.9), ('Tessa', 0.68), ('Carla', 0.0), ('Matt', 0.08), ('Jessica', 1.0)]

8. Given an array filled with random values, write a function rotate_matrix to rotate the array 90 degrees clockwise.

Example:

Input:

import numpy as np

array = np.array( [[1, 2, 3, 4, 5], [2, 3, 4, 5, 6], [3, 4, 5, 6, 7], [4, 5, 6, 7, 8], [5, 6, 7, 8, 9]] )

array

1	2	3	4	5
2	3	4	5	6
3	4	5	6	7
4	5	6	7	8
5	6	7	8	9

Output:

5	4	3	2	1
6	5	4	3	2
7	6	5	4	3
8	7	6	5	4
9	8	7	6	5

This question assesses your ability to manipulate matrices and implement algorithms as a software engineer candidate at Revolut.

How to Answer

The approach involves transposing the matrix and then reversing the order of rows to achieve a 90-degree clockwise rotation.

Example

import numpy as np

def rotate_matrix(array):
    transposed = np.transpose(array)
    rotated = [list(row[::-1]) for row in transposed]
    return rotated

# Test case
array = np.array([[1, 2, 3, 4, 5], [2, 3, 4, 5, 6], [3, 4, 5, 6, 7], [4, 5, 6, 7, 8], [5, 6, 7, 8, 9]])
print(rotate_matrix(array))
# Output:
# [[5, 4, 3, 2, 1],
#  [6, 5, 4, 3, 2],
#  [7, 6, 5, 4, 3],
#  [8, 7, 6, 5, 4],
#  [9, 8, 7, 6, 5]]

9. Write a function to get a sample from a standard normal distribution.

Your technical interviewer at Revolut will assess your understanding of probability distributions and your ability to use relevant libraries.

How to Answer

Your approach would be to utilize libraries like NumPy to generate samples from a standard normal distribution.

Example

import numpy as np

def get_normal_distribution_sample(size):
    return np.random.standard_normal(size)

# Test case
sample = get_normal_distribution_sample(10)
print(sample)

10. You are given a list of integers called numbers. Write a function to return any subset of numbers where the elements sum to zero and that does not contain the number 0. If there are no combinations of elements that sum to zero, return an empty list.

Example 1:

Input:

numbers = [1,-2,6,7,1]

Output:

def zero_sum(numbers) -> [1,-2,1] # only possible combination

Example 2:

Input:

numbers = [0,0,1,3,6,-4,-1]

Output:

def zero_sum(numbers) -> [1,3,-4]

or

def zero_sum(numbers) -> [1,-1]

or any other subset that sums to zero and doesn’t include 0.

This question assesses your problem-solving skills and ability to manipulate lists efficiently, which are critical as a software engineer at Revolut.

How to Answer

Iterate through subsets of the given list and check if the sum of elements in each subset equals zero. Return any subset that meets the criteria.

Example

def zero_sum(numbers):

    numbers = sorted(numbers) # not needed but makes the function more efficient
    result = []

    def recursive_scan(index, current_sum, current_numbers):
        nonlocal result, numbers
        if current_sum == 0 and len(current_numbers) != 0:
            result = current_numbers
            return
        elif index >= len(numbers) or current_sum > 0 or len(result) != 0:
            return

        recursive_scan(index + 1, current_sum, current_numbers)
        if numbers[index] != 0:
            recursive_scan(index + 1, current_sum +
                           numbers[index], current_numbers + [numbers[index]])

    recursive_scan(0, 0, [])
    return result

11. Write a query that, for each page, gets the percentage of the users who recommended it and reside in the same postal code as the page.

Note: A page can sponsor multiple postal codes.

Example:

Input:

page_sponsorships table

Column	Type
page_id	INTEGER
postal_code	VARCHAR
price	FLOAT

recommendations table

Column	Type
user_id	INTEGER
page_id	INTEGER

users table

Column	Type
id	INTEGER
postal_code	VARCHAR

Output:

Column	Type
page	INTEGER
postal_code	VARCHAR
percentage	FLOAT

Revolut may ask this question to evaluate your SQL proficiency, as understanding user behavior and demographics is crucial for optimizing product features and marketing strategies.

How to Answer

You’ll need to join the page_sponsorships, recommendations, and users tables on the appropriate keys (page_id and user_id). Then, group by page and postal code, calculate the count of users in the same postal code who recommended the page and divide it by the total count of users who recommended the page to get the percentage.

Example

SELECT 
    p.page_id AS page,
    ps.postal_code,
    COUNT(r.user_id) / COUNT(DISTINCT r.user_id) AS percentage
FROM 
    page_sponsorships ps
JOIN 
    recommendations r ON ps.page_id = r.page_id
JOIN 
    users u ON r.user_id = u.id AND ps.postal_code = u.postal_code
GROUP BY 
    p.page_id, ps.postal_code;

12. Write an SQL query to create a histogram of the number of comments per user in January 2020.

Note: Assume bin buckets class intervals of one.

Note: Comments that were created outside of January 2020 should be counted in a “0” bucket

Example:

Input:

users table

Columns	Type
id	INTEGER
name	VARCHAR
created_at	DATETIME
neighborhood_id	INTEGER
mail	VARCHAR

comments table

Columns	Type
user_id	INTEGER
body	VARCHAR
created_at	DATETIME

Output:

Column	Type
comment_count	INTEGER
frequency	INTEGER

This question evaluates your SQL skills, as a software engineer, in data aggregation and manipulation, specifically in generating histograms.

How to Answer

You’ll need to use the users and comments tables and group comments by user, counting the number of comments per user in the month of January 2020. Then, generate a histogram by counting the frequency of users in each bin bucket.

Example

SELECT 
    COUNT(c.user_id) AS comment_count,
    COUNT(*) AS frequency
FROM 
    comments c
LEFT JOIN 
    users u ON c.user_id = u.id
WHERE 
    YEAR(c.created_at) = 2020 AND MONTH(c.created_at) = 1
GROUP BY 
    c.user_id
ORDER BY 
    comment_count;

13. Explain the concept of Python generators and provide a scenario where they could be used to optimize memory usage in a Revolut backend service.

Your interviewer for the software engineer role at Revolut will check your understanding of Python generators and their practical application in memory optimization in backend services.

How to Answer

Explain the concept of generators and how they differ from regular functions, and provide a scenario in a backend service where memory optimization is critical, such as processing large datasets or streaming data.

Example

“Python generators are functions that allow you to generate a sequence of values lazily, on the fly, rather than storing them all in memory at once. They are defined using the yield keyword instead of return. For example, consider a scenario in which Revolut’s backend service needs to process a large number of financial transactions stored in a database. Instead of fetching all transactions into memory at once, which could lead to memory exhaustion, we can use a generator function to fetch and process transactions one by one. This way, we can optimize memory usage by only loading a small portion of the data into memory at any given time, making it suitable for handling large datasets efficiently.”

14. How would you implement error handling and logging in Python code used for processing financial transactions at Revolut, ensuring both reliability and traceability?

Technical interviewers at Revolut may ask this question to evaluate your ability to write robust and reliable code that can handle errors gracefully and provide sufficient logging for traceability and debugging.

How to Answer

Explain the importance of error handling and logging in financial transaction processing systems. Discuss techniques such as try-except blocks for handling exceptions and Python’s logging module for logging informative messages. Provide examples of implementing error handling and logging in Python code to process financial transactions.

Example

“In Python code used for processing financial transactions at Revolut, implementing robust error handling and logging mechanisms is crucial for ensuring reliability and traceability. I would use try-except blocks to handle exceptions that may arise during transaction processing, ensuring that the system gracefully handles errors without crashing. Additionally, I would use Python’s logging module to log informative messages, including transaction details, error messages, and timestamps. By configuring different log levels (e.g., DEBUG, INFO, ERROR), we can control the verbosity of logs and ensure the needed information is captured for auditing and debugging. Overall, combining effective error handling and logging practices would help enhance the reliability and traceability of the Python code used in processing financial transactions at Revolut.”

15. Revolut’s mobile app backend relies on external APIs for various functionalities. How would you design Python code to handle API rate limits and retries effectively, ensuring a smooth user experience?

As a software engineer candidate at Revolut, your answer will demonstrate your ability to design robust and fault-tolerant Python code for interacting with external APIs, considering factors like rate limits and retries.

How to Answer

Explain the importance of handling API rate limits and retries to prevent service disruptions and ensure a seamless user experience. Discuss strategies such as rate limit monitoring, backoff mechanisms, and exponential retry strategies. Provide examples of implementing these strategies in Python code to handle API rate limits and retries effectively.

Example

“In designing Python code to interact with external APIs for Revolut’s mobile app backend, it’s essential to handle API rate limits and retries effectively to maintain a smooth user experience. One approach is to implement rate limit monitoring, where we track the rate limits imposed by the API provider and adjust our request rate accordingly to avoid exceeding the limits. Additionally, we can incorporate retry mechanisms with exponential backoff strategies to handle temporary failures or timeouts gracefully.”

16. Discuss the differences between SQL’s ACID and BASE consistency models and their implications for database design in a financial institution like Revolut.

Your understanding of database consistency models and their implications for designing databases in a financial institution setting will be assessed through this question.

How to Answer

Explain the concepts of ACID (atomicity, consistency, isolation, durability) and BASE (basically available, soft state, eventually consistent) consistency models in database systems. Discuss the differences between these models, highlighting their implications for database design, transaction processing, and data consistency.

Example

“The ACID (atomicity, consistency, isolation, durability) and BASE (basically available, soft state, eventually consistent) consistency models represent two different approaches to ensuring data consistency and reliability in database systems. ACID emphasizes strong consistency guarantees, where transactions are atomic, consistent, isolated, and durable. In contrast, BASE prioritizes availability and partition tolerance over strong consistency, allowing for eventual consistency and trading off immediate consistency for improved system scalability and fault tolerance. In Revolut, where data integrity is paramount, ACID consistency may be preferred for critical transactional systems, and for non-transactional data or systems requiring high availability and scalability, BASE consistency may be more suitable.”

17. Revolut offers budgeting features for users to track their expenses. How would you use SQL queries to calculate and present monthly spending trends for a user’s account?

This question evaluates your SQL skills and ability to interpret financial data to derive meaningful insight to help implement budgeting features and provide financial insights to Revolut users.

How to Answer

Describe how you would structure SQL queries to retrieve and aggregate transaction data for a user’s account, focusing on transactions within a specific month. Discuss techniques such as filtering by date range, grouping transactions by category or merchant, and calculating total spending.

Example

“To calculate and present monthly spending trends for a user’s account in Revolut’s budgeting feature, we can use SQL queries to aggregate transaction data for the desired month. First, we would filter transactions by the user’s account ID and the transaction date falling within the target month. We can then group transactions by category or merchant and calculate the total spending for each category or merchant. For example, to calculate total spending for January 2024:

SELECT 
    category,
    SUM(amount) AS total_spending
FROM 
    transactions
WHERE 
    user_id = [user_id]
    AND transaction_date >= '2024-01-01'
    AND transaction_date < '2024-02-01'
GROUP BY 
    category;

This query retrieves transaction data for the specified user’s account for January 2024, groups transactions by category, and calculates the total spending for each category. Similar queries can be used to calculate spending trends over multiple months or to compare with previous months to track changes in spending.”

18. Revolut aims to optimize currency conversion for users while minimizing exchange rate fees. Describe an algorithmic approach you would use to find the best conversion rate for a given currency pair in real time.

The interviewer at Revolut may ask this question to assess your problem-solving skills and knowledge of algorithms for optimizing currency conversion.

How to Answer

Outline an algorithmic approach to finding the best conversion rate for a given currency pair in real time. Discuss factors to consider, such as current exchange rates, transaction fees, and liquidity of currency pairs. Consider approaches like direct conversion, triangular arbitrage, or querying multiple liquidity providers.

Example

“To optimize currency conversion for users in real time, we can implement an algorithmic approach that considers factors such as exchange rates, fees, and liquidity. One approach is to query multiple liquidity providers and compare their conversion rates for the given currency pair. We can then factor in transaction fees and any additional costs associated with the conversion. Additionally, we can consider triangular arbitrage opportunities to leverage cross-currency rates and minimize conversion costs. The algorithm should dynamically adjust based on market conditions and user preferences to provide the best conversion rate while minimizing fees.”

19. Explain time and space complexity in algorithm analysis. How do you evaluate an algorithm’s efficiency using these metrics?

Revolut may ask this question in the software engineer interview to assess your ability to compare algorithms based on time and space requirements.

How to Answer

Define time complexity as the measure of the time an algorithm takes to complete as a function of the input size. Explain space complexity as the measure of the memory space required by an algorithm as a function of the input size. Discuss Big O notation and its significance in expressing the upper bound of an algorithm’s time and space complexity.

Example

“Time complexity refers to the measure of the time an algorithm takes to complete its execution as a function of the input size. It helps us understand how the runtime of an algorithm grows as the size of the input increases. Space complexity, on the other hand, refers to the measure of memory space required by an algorithm as a function of the input size. It helps us see how much memory an algorithm consumes based on the input size. Both time and space complexity are commonly expressed using Big O notation, which provides an upper bound on the growth rate of an algorithm’s runtime and memory usage. By assessing the time and space complexity of algorithms, we can compare their efficiency and choose the most suitable algorithm for a problem based on its performance characteristics.”

20. Explain dynamic programming and provide an example of a problem that can be solved using dynamic programming techniques.

Your understanding of dynamic programming and its application to solving complex problems will be assessed through this question at the software engineer interview at Revolut.

How to Answer

Define dynamic programming as a method for solving complex problems by breaking them down into simpler subproblems and storing their solutions to avoid redundant computation.

Example

“Dynamic programming is a problem-solving technique that involves breaking down complex problems into simpler subproblems and storing their solutions to avoid redundant computation. One classic example of a problem that can be solved using dynamic programming is the Fibonacci sequence. Instead of recursively computing Fibonacci numbers, which leads to redundant computations, we can use dynamic programming to store the solutions to smaller subproblems and build up to larger Fibonacci numbers efficiently.”

21. Imagine you have been given an array of integers, and a query number k. Your task is to write a function that finds all the triplets in the array that sum up to the query number k.

This question could be asked in a Revolut Software Engineer interview to assess your problem-solving skills, particularly your ability to work with arrays and implement efficient algorithms.

How to Answer

In Python, we can solve this problem by using a hash map to count the frequency of each number in the array. We then iterate over all pairs of numbers in the array, and for each pair, we check whether k minus the sum of the pair is in the hash map.

Example

“To solve this problem, I would start by sorting the array, which allows for easier manipulation when searching for the desired triplets. Once the array is sorted, I would iterate over each pair of numbers in the array and determine what third number is needed to reach the target sum, k. By using binary search, I could efficiently check if that third number exists in the remaining part of the array. This approach should help in balancing between simplicity and performance, making the solution both intuitive and optimized for the problem at hand.”

22. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

This question tests your understanding of data structures (lists) and requires you to implement logic that accurately models the scenario described. Additionally, it evaluates your ability to handle lists with corresponding elements.

How to Answer

When answering, explain that you combined the color counts into a new list (new_jar) to represent all the balls in the jar. Then, you used random.choice() to simulate a random draw, ensuring the selection accurately reflects the distribution. Highlight the simplicity and effectiveness of this approach in handling the problem.

Example

“To tackle this problem, I would first combine the colors and their counts into a single list that represents the jar, making sure each color is correctly represented based on its count. Then, I would use a random selection method to simulate drawing a ball. This approach ensures that the selection reflects the true distribution of balls in the jar while keeping the implementation simple and effective.”

To crack the Revolut interview, you will need to prepare yourself in other domains of software engineering, including problem-solving scenarios, case studies, and coding challenges. Here is a guide on how to effectively prepare:

Review the Job Description

Carefully read the job description to determine where you shine and what skills you lack. This will also help you tailor your CV and answers to the keywords in the job description. For example, if it says that you’ll be building mobile APIs as a software engineer, emphasize your proficiency in that aspect.

Practice Coding Challenges

During the technical and on-site interview rounds, you’ll be given real-world problems to solve with your analytical thinking and coding knowledge. Ensure you understand how to interpret and approach complex problems, particularly in Python and SQL. You may also take coding challenges and answer our software engineer interview questions to prepare better for the Revolut interview.

Focus on Technical Fundamentals

Since Revolut emphasizes practical skills, proficiency in technical fundamentals, such as data structure and algorithms, is critical. Assuming you already have the basics covered, dive deeper into understanding linear regression, random forest, SVM, and sorting algorithms.

Practice Common Interview Questions

In addition to the questions we discussed, practice more behavioral and technical questions to prepare for the Revolut software engineer interview. Our database, with hundreds of potential questions with their solutions, will help you improve your interview skills further.

Refine Your Communication Skills

Participate in our P2P mock interview sessions to refine your communication skills. In addition to improving your skills and refining your answers, familiarity with the process will ease your nerves and help you relax during the actual Revolut interview.

How much do software engineers make at Revolut in a year?

Software engineers at Revolut earn an average basic salary of $109,000 with a total compensation of $131,000 per year. Senior engineers, however, command a more robust base salary of over $160,000 and over $260,000 in total compensation. Read more about the industry standards in our software engineer salary guide.

Where can I read about other candidates’ experiences in the Revolut software engineer role?

We have a strong Slack community where interview details are shared, and new candidates can ask about the process. Feel free to join us and leave your impression of the Revolut interview process afterward.

Does Interview Query have job postings for the Revolut software engineer role?

Yes. Discover available job positions through our Job Board and apply to your desired role directly. Moreover, some organizations share their requirements directly with us so you can apply immediately.

We’ve discussed the process, common questions, and a few tips to crack your software engineer interview at Revolut. Hopefully, you’ll now be able to prepare better for the behavioral and technical rounds during the interview. Before we part, consider exploring our main Revolut interview guide to gain more insight into the company and learn about other roles, including data analyst and data scientist jobs.

Best of luck with your Revolut software engineer interview—we’re rooting for your success! You’re welcome to share your experience with us after the interview.