DoorDash Software Engineer Interview Questions + Guide in 2024

One of the world’s leading online food ordering and delivery platforms, DoorDash relies heavily on its technology platform for order placement and tracking. They utilize sophisticated algorithms to manage logistics, including matching orders with the nearest available delivery person, whom they call a “Dasher”.

DoorDash highly values software engineers and their ability to solve complex logistical problems, in the interest of improving the efficiency and reliability of its services for customers. The company offers competitive salaries and benefits, making it an attractive workplace for software engineers looking to enhance their skills and advance their careers.

If you’re looking to land that role, then this guide is for you. We’ll provide a comprehensive overview of what to expect during the DoorDash interview, including our handpicked questions, strategies, and other relevant information.

Software engineers at DoorDash work on projects ranging from developing Android applications architecture, to scaling test infrastructure, to creating intuitive user interfaces, all of which are aimed at improving the customer experience for food ordering and delivery. The interview process will test your knowledge and real-world implementation strategies of algorithms and systems design. Diversity and inclusion are major values at DoorDash, so prepare for the behavioral interview questions well.

Please note that the exact structure of the process will depend on the team and the function of the role. Always read the job description carefully while preparing your interview plan.

The process generally has multiple rounds spanning 2-3 weeks, and may take even longer in certain cases.

Step 1: Preliminary Chat With A Recruiter

A phone chat with a recruiter will be scheduled to get a sense of who you are, the projects you’ve executed on, and the accomplishments you’ve achieved. They may ask you a couple of Resume/CV-based questions, so prepare some canned responses to help you sail through this important screening round.

Step 2: Choice Between Take-home Assessment Or Phone Screening

You will be given a choice between a take-home project or a telephonic screening interview. The project is of easy to medium difficulty, and tests your ability to gather requirements, build APIs, and write clean and efficient code. The phone screening will test similar skills, the only difference being that you demonstrate your skills directly to an interviewer.

Step 3: Onsite Interviews

This usually consists of multiple rounds of technical interviews, including coding, systems design, data structures, and algorithms, as well as an additional round focusing on DoorDash’s values and culture. You’ll be assessed on your problem-solving skills, coding expertise, design thinking, and overall cultural fit. If you want to read more about DoorDash’s technical interview process, take a look at this informative overview on their website.

You may be asked to participate in another interview in the area of expertise required for the role you apply for, such as an architecture or domain knowledge round. You may also have a final round with someone at a director level, but this depends on the seniority of the role you’ve applied for.

The DoorDash Software Engineer interview questions focus on algorithmic problem-solving, data management, systems optimization, and adaptability to technological changes. They assess technical expertise and the candidate’s ability to handle real-world challenges in DoorDash’s fast-paced environment, along with evaluating soft skills and cultural fit.

More of these will be discussed in the full interview questions provided below:

1. Write a Python function to return the maximum profit you can achieve by buying and selling a stock.

A software engineer at DoorDash will need to optimize algorithms for efficient decision-making, analogous to maximizing profit in stock trading, to enhance the platform’s operational efficiency.

How to Answer

Explain the logic behind your approach, discussing how you track the maximum profit at each stage (after each buy and sell) and how the problem resembles optimizing decisions in a changing environment. Mention the importance of efficient and scalable code, briefly.

Example

“In this function, I will use dynamic programming to keep track of the profits after each buy and sell action. The function iterates through each price, updating the potential profits. This approach ensures that we consider the best possible outcome at each stage, which is crucial for optimizing profits in a dynamic setting like stock trading or managing real-time data in DoorDash’s operations.”

2. A robot has been designed to navigate a two-dimensional 4x4 matrix by only moving forward or turning right when blocked by a wall of the matrix. Determine its full path.

At DoorDash, a software engineer would need to understand or design algorithms for route optimization and obstacle avoidance, similar to the robot navigating a matrix, to ensure smooth delivery navigation in various scenarios.

How to Answer

Emphasize how you would handle blocks and make decisions (turning right or moving forward). Highlight the importance of checking for loops or repeated paths, which is crucial for avoiding inefficiencies in route planning. Your explanation should demonstrate how you would adapt to the specified constraints.

Example

“I would write a function considering the end goal, optimized direction, and possible obstacles. The function uses a while loop and directional vectors to ensure real-time adaptation. By checking if the new position after a move is within the bounds of the matrix and not a block, and by keeping track of the path to avoid loops, the algorithm efficiently finds a route to the destination.“

3. Given a list of sorted integer lists, write a function to create a combined list while maintaining sorted order without importing any libraries or using sort functions in Python.

To streamline logistics and scheduling systems at DoorDash, software engineers need to understand concepts like merging sorted integer lists without resorting to Python’s built-in functions.

How to Answer

Go through a step-by-step approach to merge the lists while maintaining sorted order. Focus on how you iterate through each list, compare elements, and choose the smallest element at each step to add to the final merged list. Highlight the efficiency of your approach.

Example

“In my solution, I’ll maintain an array of pointers to track the current element in each list. At each step, I’d look for the smallest element in each list and add it to the merged list. This way, we effectively merge all lists while maintaining their sorted order. This approach is efficient because it can minimize comparisons and eliminate the need for any external sorting library. Each iteration involves only a comparison of the heads of the remaining lists.”

4. How would you design a system to minimize wrong and missing orders?

As a software engineer, you will need to be adept at systems design, in order to help incorporate robust order tracking and rigorous validation mechanisms at DoorDash.

How to Answer

Discuss a multi-faceted approach that includes UI improvements, backend validation, real-time tracking, and a feedback loop. Make sure your response is rooted in a firm understanding of DoorDash’s business model and application interface.

Example

“A key aspect of minimizing wrong and missing orders is an intuitive interface, allowing customers to easily review and modify their orders before finalizing them. On the backend, implementing stringent validation checks to ensure order accuracy from the point of entry to the delivery is crucial. Real-time order tracking systems play a significant role too, by incorporating immediate correction opportunities for any discrepancies noticed by the customer or the delivery personnel. Finally, a feedback loop post-delivery helps in identifying recurring issues and refining the system.”

5. Compare quicksort, merge sort, and heap sort. In what scenarios would you prefer one algorithm over the others?

You will need to have thorough knowledge of sorting algorithms in various scenarios, particularly in a high-load, data-intensive environment like DoorDash.

How to Answer

Your answer should include a brief comparison of the three algorithms focusing on time and space complexities. Then, you should discuss the scenarios in which each algorithm would be most effective, discussing factors like dataset size, memory constraints, and the need for stability in sorting. Mention the practical implications for DoorDash’s operations.

Example

“In comparing quick sort, merge sort, and heap sort, it’s important to consider their time and space complexities and how they perform under different conditions. Quick sort is generally fast with an average and best-case complexity of $O(n \log n)$, but its worst-case complexity is $O(n^2)$, which can be a concern with poorly chosen pivots. However, its in-place sorting makes it memory efficient.

Merge sort, on the other hand, always has a time complexity of $O(n \log n)$, making it highly predictable and stable, but it requires additional space, which is $O(n)$. This makes it less memory efficient compared to quick sort but a reliable choice for large datasets.

Heap sort also offers $O(n \log n)$ complexity and does not require additional space, making it a good option when memory usage is a concern. However, it is typically slower in practice than the other two due to more overhead in heap operations.

In a high-load system like DoorDash, where efficiency and quick response times are crucial, I would prefer quick sort for medium-sized datasets due to its in-place sorting and generally good performance. For larger datasets, especially where stability is a concern (like sorting customer orders where stability can maintain the order of similar elements), merge sort would be preferable despite its higher space requirement. Heap sort could be an option when memory is a constraint, but the dataset isn’t excessively large to avoid the overhead of heap operations.”

6. Imagine you’re tasked with optimizing DoorDash delivery routes. How would you design an algorithm to determine the shortest and most efficient delivery paths in a city’s road network?

In the context of DoorDash, optimizing delivery routes is crucial for improving operational efficiency and customer satisfaction. Designing an algorithm to achieve this will be a valued skill in a prospective software engineer.

How to Answer

Discuss an algorithm suited for finding the shortest paths in a weighted graph, such as Dijkstra’s algorithm or A* search algorithm. Explain how the chosen algorithm would work, considering the weights (road lengths) and how it ensures the selection of the shortest and most efficient paths. Address any potential trade-offs.

Example

“In optimizing delivery routes where roads have different lengths, an ideal choice would be Dijkstra’s algorithm, which is excellent for finding the shortest path in a weighted graph. The algorithm works by initially setting the distance to the source node as zero and all other nodes as infinity. It then relaxes the distances iteratively based on the weights of the edges (road lengths in this case) until the shortest path to each node is found.

One of the key aspects of Dijkstra’s algorithm is its efficiency in terms of time complexity, which is O((V+E) logV ) using a priority queue, where V is the number of vertices (intersections) and E is the number of edges (roads). It can be adapted to account for other factors like traffic conditions or road closures by dynamically adjusting the weights of the edges.”

7. At DoorDash, we need to constantly update our customers and delivery partners with real-time notifications about order status and delivery updates. Can you design a scalable notification system that can handle millions of users and a high volume of notifications?

Systems design is an important aspect of a software engineer’s role, and the interviewer is going to test whether you will be able to design scalable systems when working at DoorDash.

How to Answer

Your answer should include a high-level architecture of the notification system, addressing scalability, data management, and real-time processing. Discuss the choice of technologies and databases, considering factors like push notifications, SMS, email, etc. Highlight the importance of handling peak loads and maintaining consistent performance, and address fault tolerance and the potential use of microservices architecture.

Example

“I’d use a microservices architecture to ensure scalability. The system would consist of a notification creation service, a message queue, a notification dispatcher, and a database for storing notification logs. For real-time notification delivery, I would use a message queue like Kafka to handle high throughput and ensure reliable message delivery. The notification creation service would generate notification requests and publish them to the queue. The dispatcher, which is scalable and can be replicated based on load, would then process these messages and send notifications via the appropriate channels like push notifications, SMS, or email. For the database, I would choose a NoSQL database like Cassandra for its scalability and ability to handle large volumes of data. To handle peak loads, the system would be hosted on a cloud platform like AWS, utilizing its auto-scaling capabilities. This way, the system can dynamically allocate more resources during high-demand periods, like lunch or dinner times, ensuring consistent performance.”

8. Which Data Structures can be used for implementing LRU cache?

At DoorDash, questioning a prospective software engineer about designing an LRU cache system is important to assess their ability to optimize real-time data management. Given the dynamic nature of order updates and customer interactions, a scalable LRU cache is vital for enhancing the responsiveness of DoorDash’s platform.

How to Answer

Focus on explaining why you have made the choice that you have. Discuss what operations are essential for the performance of an LRU cache and how these data structures facilitate them.

Example

“The most efficient approach is to use a combination of a Hashmap and a Doubly Linked List. The Hashmap provides $O(1)$ access time to cache items, which is essential for quick retrievals. The Doubly Linked List maintains the items in the order of their usage. When the cache reaches its capacity and requires removing the least recently used item, the item at the tail of the list can be removed efficiently. This combination allows for constant time operations for adding, accessing, and removing items. This makes the Hashmap and Doubly Linked List combination ideal in high-load systems like DoorDash, where performance and efficiency are paramount.”

9. Given an array filled with random values, write a function to rotate the array by 90 degrees in the clockwise direction.

Manipulating multidimensional arrays as a software engineer is important at DoorDash for route mapping, order matrices, or even in the UI for displaying information in different orientations.

How to Answer

Start by explaining the concept of matrix rotation and the steps involved in rotating a matrix. The solution generally involves transposing the matrix and then flipping it horizontally.

Example

“This can be done using the numpy library in Python for its efficient handling of arrays. The function will transpose the input matrix and then flip it horizontally, effectively rotating it by 90 degrees clockwise. It’s efficient and works well with matrices of any size.”

10. Given a table of subscriptions with a subscription start date and end date for each user, write a query that returns true or false depending on whether each user has a subscription date range that overlaps with any other completed subscription.

As a software engineer, maintaining accurate records and providing insights into user subscription patterns may be a part of your job description working at DoorDash.

How to Answer

Explain the logic you would use, while still considering edge cases, such as subscriptions that start on the same day one ends. Focus on writing a query that is both accurate and efficient.

Example

“My query first creates a temporary table using a CROSS JOIN to find all pairs of users with overlapping subscriptions. Then, it uses a UNION to combine all unique users involved in overlaps. Finally, it joins this result with the original list of users to determine which users have overlapping subscriptions, marking them as ‘true’ and the rest as ‘false’.”

11. Write a function that returns the shape of the isosceles triangle using (a 2D list) of 0s and 1s, where 0 and 1 represent the space outside and inside of the triangle, respectively.

In a company like DoorDash, this understanding can be vital for a software engineer to route maps, visualize data patterns, or create intuitive user interfaces.

How to Answer

Explain how you would construct an isosceles triangle using a 2D list with a specified height and base. Talk about validating input values to ensure they can form a triangle. Discuss how you would iterate through the 2D list to set values of 0s and 1s to represent the triangle.

Example

“To implement the function, I would first validate the inputs. The base b must be even, and at least as long as the largest width of the triangle, which is 2ℎ - 1.

If the inputs are valid, I would create a 2D list initialized with 0s, with dimensions ℎ×b. The key is to determine which elements in this matrix should be 1s to represent the inside of the triangle. For each row i in the matrix, the number of 1s would increase as we move towards the middle row of the triangle. Specifically, starting from the top of the triangle (row 0), the number of 1s would incrementally increase until it reaches its maximum at the base. The 1s would be centered in each row, with an equal number of 0s (spaces) on each side.

To achieve this, for each row i, I would calculate the starting and ending indices for 1s. The starting index would be mid−i and the ending index mid+i, where mid is the midpoint of the base b. I would then iterate over each row and set the corresponding elements between these indices to 1.”

12. You’re given a list of people to match together in a pool of candidates, based on availability and closest match. Write a function to return a list of matches along with scheduled times.

At DoorDash, optimizing the matching of delivery personnel and customers is an important task for software engineers to enhance operational efficiency.

How to Answer

Highlight how you would handle edge cases, such as an odd number of candidates or unmatched availability. Discuss the data structures you would use for bettering efficiency.

Example

“Filtering candidates by availability can be done by grouping them by time slot.

I would use a similarity metric to match them on interests, such as the Jaccard index or cosine similarity, to quantify the similarity between candidates’ interests. Within each availability bucket, I would pair candidates with the highest similarity scores.

The function would iterate through each availability bucket, performing the interest-based matching. As matches are made, they would be moved to a list of matched pairs.”

13. Write a function that takes a list of GPS coordinates representing a DoorDash driver’s route and compresses it into a simplified version with minimal loss of accuracy.

As a software engineer at DoorDash, creating a function to compress GPS coordinates in a driver’s route is vital for optimizing data storage, transmission, and processing.

How to Answer

Discuss a specific technique such as the Ramer-Douglas-Peucker algorithm. Explain how the algorithm reduces the number of points in a polyline while retaining its overall shape. Address the trade-offs between the level of compression and the accuracy of the route representation.

Example

“The RDP algorithm works by recursively dividing the polyline into segments and then eliminating points that are within a specified tolerance distance from a line connecting the segment’s endpoints. The main parameter to consider here is the tolerance distance. A smaller tolerance means less compression but higher accuracy, whereas a larger tolerance increases compression but may lead to more significant deviation from the original route. This approach efficiently reduces data size, which is beneficial for storage and transmission. The trade-off is in the accuracy of the route representation. A too-aggressive compression might oversimplify the route. Therefore, selecting an appropriate tolerance distance is key, based on the use case, like urban vs. rural routes where road complexity and turns vary significantly.”

14. We need to optimize our database schema to quickly retrieve popular menu items for each restaurant. How would you design the database tables and indexes?

The challenge posed to you as a prospective software engineer is to optimize data retrieval for a common query faced by Doordash – fetching popular menu items – which impacts user experience and business insights.

How to Answer

Your answer should discuss the structure of the database tables and the use of indexes to optimize query performance. Talk about normalization to reduce redundancy and improve data integrity.

Example

“In designing the database schema to quickly retrieve the most popular menu items for each restaurant, I would create a set of normalized tables. The primary tables would be Restaurants, MenuItems, and Orders.

To track the popularity of menu items, I would use the Orders table. Each order would link to the specific menu item and the corresponding restaurant. I would create an index on RestaurantID in the MenuItems table and a composite index on MenuItemID and OrderTime in the Orders table to optimize the schemas. For retrieving the most popular menu items, I would write a query that joins these tables and performs a count on the number of times each menu item is ordered in a time frame.”

15. Given an array of restaurant delivery times, devise an algorithm to find the median delivery time.

As a software engineer, you should have a good grasp of fundamental data structures. On-time delivery is a critical KPI in Doordash’s business and efficiently calculating it is key for real-time decision-making.

How to Answer

Explain your approach and why you would prefer it over other algorithms. Also, discuss any alternative methods, like using a heap, and the trade-offs involved.

Example

“The most straightforward approach is to sort the array and then find the middle element. If the array length is odd, the median is the middle element; if it’s even, it’s the average of the two middle elements. This approach is simple and effective for relatively small datasets. I would use a quick sort or merge sort, both of which have an average time complexity of $O(n \log n)$. Quicksort is generally faster but less stable. Since delivery times are unlikely to be identical, this instability of Quicksort is not a significant concern.

An alternative would be to use a min-heap and max-heap to store the lower and upper halves of the data, respectively. However, this is more complex and is useful only when the median needs to be dynamically updated with new data.”

16. We are planning to integrate a new payment gateway into the DoorDash app. How would you design the API for this gateway?

The skills to design a secure, reliable, and user-friendly API is an important part of a software engineer’s job at Doordash. The integration of a payment gateway is a fundamental feature that directly impacts user trust and the financial integrity of their platform.

How to Answer

Your answer should focus on the key aspects of API design for a payment gateway: security, reliability, user experience, and compliance with standards. Also mention compliance with financial regulations and industry standards.

Example

“In designing the API for a new payment gateway in the DoorDash app, my primary considerations would be security, reliability, and user experience. The API would implement strong encryption for data in transit and at rest. I would use OAuth for secure authentication and authorization. Additionally, it’s crucial to adhere to PCI DSS (Payment Card Industry Data Security Standards) to ensure the secure handling of credit card data.

Next, the API needs to be highly reliable. I would design it with a failover mechanism and load balancing to handle high volumes of requests, especially during peak hours. Using a cloud service with good SLAs (Service Level Agreements) for hosting would contribute to this.

Apart from these factors, monitoring and testing need to be rigorously implemented before deployment.”

17. Implement Dijkstra’s shortest path algorithm for a given graph with a known source node.

At DoorDash, your understanding of graph algorithms is fundamental for mapping solutions as a software engineer.

How to Answer

Discuss the steps involved in Dijkstra’s algorithm, focusing on how it finds the shortest path from a source node to all other nodes in a weighted graph. Explain the use of data structures like priority queues to efficiently select the next node to process.

Example

“The key to Dijkstra’s algorithm is that it’s a greedy algorithm; it always chooses the closest node that hasn’t been processed yet. This makes it efficient but also means it only works with non-negative weights. I would implement it by initializing a distance table and setting up a priority queue to efficiently select the next node with the smallest distance. For each node, I’d consider all of its neighbors. If the distance to a neighbor can be shortened by going through the current node, the neighbor’s distance needs to be updated and added to the priority queue. The process should be iterated until the priority queue is empty.”

18. How have you contributed to fostering an inclusive environment in your previous roles?

Diversity and inclusion is an important value that DoorDash as a company cares about. This question assesses how you would bring value to this culture.

How to Answer

You should express your understanding of why diversity and inclusion are vital in the workplace. Discuss how they contribute to a richer work environment, lead to more innovative solutions, and better reflect the diverse customer base that DoorDash serves. Mention a specific instance using the STAR method: Situation, Task, Action, and Result, emphasizing the initiative you undertook and the added value it brought.

Example

“Diversity and inclusion in the workplace are crucial for several reasons. Firstly, a diverse team brings a wide range of perspectives and experiences, leading to more innovative and creative problem-solving. Secondly, an inclusive environment where everyone feels valued and respected leads to higher employee engagement and satisfaction, which in turn drives productivity.

In my previous role, I contributed to fostering an inclusive environment by being part of a committee that organized regular workshops and training sessions on diversity and cultural sensitivity. We aimed to educate our team members about different cultures, genders, and backgrounds, encouraging empathy and understanding. I believe that these efforts, combined with everyday actions like ensuring all voices are heard in meetings and being open to different viewpoints, contribute significantly to creating an inclusive environment.”

19. Tell me about a time you went above and beyond in a project.

For those aiming to join Doordash, showing your initiative is crucial. This question seeks to understand whether you would go that extra mile.

How to Answer

Discuss a specific instance using the STAR method: Situation, Task, Action, and Result, emphasizing your effort and quantifying its impact.

Example

“I was part of a team tasked with developing a new feature for our app to enhance customer experience. The project’s timeline was tight, and we faced the challenge of integrating this feature seamlessly with existing functionalities. I took the initiative to lead an additional sub-team to focus on optimizing the backend algorithms for faster response times, going beyond my assigned front-end development responsibilities. By closely collaborating with both front-end and back-end teams, we not only met the tight deadline but also improved the feature’s performance by 25%.”

20. Describe a time when you had to learn a new technology or language quickly for a project. How did you approach the learning process, and what impact did this have on the project?

This question seeks to assess your adaptability, learning agility, and problem-solving skills, which are crucial in a fast-paced and technologically evolving environment like DoorDash.

How to Answer

When responding to this question, follow the STAR method: Situation, Task, Action, and Result, emphasizing your strategy and discussing the result.

Example

“In my previous role, we undertook a project that required the integration of a complex machine-learning algorithm. As the lead developer, my task was to implement this algorithm, but it required proficiency in Python, a language I was less familiar with at the time. I took a proactive approach to quickly upskill myself – dedicating after-hours to online Python courses, practicing through small personal projects, and seeking advice from experienced Python developers in my network. My efforts paid off as I was able to successfully integrate the algorithm ahead of schedule.”

Here are tips to help you ace your interview at DoorDash for a software engineer position:

Understand the Role and Responsibilities

Research the specific software engineer role at DoorDash you’re applying for. Understand the key responsibilities and skills required.

Explore the specific role at DoorDash through our Learning Paths to gain a comprehensive understanding of how your skills align with the requirements of this position.

Brush Up on Technical Skills

Revisit algorithms (graphs, trees, and sorts), data structures, system design principles, and coding practices. Practice writing efficient, clean, and well-documented code. Depending on the role, you may expect questions on database management and API design as well.

Familiarize Yourself with DoorDash’s Business Model

Gain a deep understanding of DoorDash’s services, market challenges, and technology stack. Consider how your role might impact the business and think of ways you could contribute to solving real-world problems DoorDash faces.

Practice Problem-Solving and Behavioral Questions

Prepare for behavioral questions using the STAR method. Reflect on your past experiences and practice articulating them in a concise, impactful manner.

You can familiarize yourself with behavioral questions by visiting our Interview Questions section. It offers a wide range of practice questions to help you structure your responses effectively using the STAR method.

Mock Interviews

Engage in mock interviews to simulate the real interview experience. Seek feedback to improve your responses, technical knowledge, and problem-solving approach.

Participate in Mock Interviews to practice and showcase your teamwork and communication skills.

Prepare Questions for the Interviewer

Prepare thoughtful questions to ask your interviewers about DoorDash’s work culture, challenges, and expectations. This shows your interest and eagerness to engage with the company’s ethos and future goals.

By following these preparation tips and revisiting the key points from our earlier discussions, you’ll be well-equipped to tackle the challenges of a software engineer interview at DoorDash.

What is the average salary for a Software Engineer Role at DoorDash?

The average base salary for a Software Engineer at DoorDash is US$186,461, while the estimated average total compensation is US$274,117, making the remuneration highly attractive for prospective applicants.

If you want to explore additional information about Software Engineers’ salaries, be sure to check out our comprehensive Software Engineer Salary Guide. It covers not only DoorDash but also other companies, positions, and more.

Where can I read more discussion posts on DoorDash’s Interview Process here in Interview Query?

Currently, you can’t find specific discussion posts about DoorDash’s SE role on Interview Query. However, you can still explore our discussion posts for information on SE-related roles.

Are there job postings for DoorDash Software Engineer roles on Interview Query?

Yes! Interview Query does have job postings related to Doordash’s Software Engineer position. Look into it whenever you get the chance!

To succeed in a DoorDash Software Engineer interview, you’ll need not only a strong foundation in data structures and algorithms but also the expertise to apply them to real-world problems.

You can check out our main DoorDash interview guide, where we not only cover topics in more general terms but also dive deep into other roles that we cover, such as data analyst, engineer, scientist, business analyst, and product analyst. Take a look at these to understand how the many roles work together to power DoorDash’s success.

Also, consider exploring our Company Interview Guides if you’re planning to apply not only to DoorDash but also to companies such as Uber, PayPal, Adobe, and others. You’ll definitely find them helpful.

We hope that you find these tips useful and land your dream job very soon!