# Software Engineer
**Role:** Software Engineer · **Level:** P2
**Company:** [Docusign](https://scaleengineer.com/companies/docusign)
**Difficulty:** Medium to Hard
**Salary:** US$110000 - US$150000
**Experience:** 3 - 7
**Timeline:** ~14 days
The Docusign Software Engineer P2 interview process is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds, including HR screening, technical interviews focusing on data structures, algorithms, and system design, and a final managerial or behavioral interview.
Canonical: https://scaleengineer.com/interviews/docusign/p2-software-engineer
---
## Overall evaluation

- Technical Skills
- System Design
- Behavioral and Cultural Fit

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a system to store and retrieve user profiles for a social media platform with millions of users.
- Explain the difference between processes and threads.
- Describe a time you disagreed with a teammate. How did you handle it?
- How would you optimize a slow database query?
- Implement a function to reverse a linked list.
- What are the trade-offs between using a relational database and a NoSQL database?
- Tell me about a project you are particularly proud of.
- How do you ensure the quality of your code?
- Design a rate limiter for an API.

## Preparation tips

### lists

- Review fundamental data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
- Study system design concepts, including scalability, availability, consistency, databases, caching, load balancing, and message queues.
- Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
- Research Docusign's products, values, and recent news to understand the company's mission and challenges.
- Understand the specific technologies and programming languages mentioned in the job description.
- Practice explaining your thought process clearly and concisely, both verbally and in written code.
- Prepare questions to ask the interviewer about the role, team, and company culture.

### studyPlan

- {"title":"Data Structures and Algorithms","longDescription":"Weeks 1-2: Focus on core data structures and algorithms. Cover arrays, linked lists, stacks, queues, trees (binary, BST, AVL), heaps, hash tables, and graphs. Practice algorithms like sorting (quicksort, mergesort), searching (binary search), recursion, dynamic programming, and graph traversal (BFS, DFS). Aim to solve at least 2-3 problems per day.","shortDescription":"Weeks 1-2: Data Structures & Algorithms fundamentals. Solve 2-3 problems daily."}
- {"title":"System Design","longDescription":"Weeks 3-4: Dive into system design. Study concepts like scalability, availability, fault tolerance, CAP theorem, databases (SQL vs. NoSQL), caching strategies, load balancing, message queues, and microservices architecture. Read system design case studies and practice designing common systems like Twitter feed, URL shortener, or a distributed cache.","shortDescription":"Weeks 3-4: System Design concepts. Study case studies and practice designing systems."}
- {"title":"Behavioral Preparation","longDescription":"Week 5: Prepare for behavioral and situational questions. Reflect on your past projects and experiences. Use the STAR method to structure your answers for questions related to teamwork, leadership, conflict resolution, handling failure, and dealing with ambiguity. Prepare examples that showcase Docusign's core values.","shortDescription":"Week 5: Behavioral preparation using STAR method. Focus on Docusign values."}
- {"title":"Mock Interviews and Review","longDescription":"Week 6: Mock interviews and review. Conduct mock interviews with peers or mentors to simulate the actual interview environment. Practice explaining your solutions and thought process. Review any weak areas identified during practice and mock interviews. Prepare thoughtful questions to ask the interviewer.","shortDescription":"Week 6: Mock interviews and final review. Prepare questions for the interviewer."}

## Location differences

- {"location":"North America","differences":{"tips":["Familiarize yourself with common distributed system design patterns.","Be prepared to discuss trade-offs in system design choices.","Understand the nuances of cloud services and their applications.","Practice explaining complex technical concepts clearly and concisely."],"interviewFocus":["System Design for scalability and reliability","Deep understanding of distributed systems concepts","Experience with cloud platforms (AWS, Azure, GCP)","Problem-solving in a distributed environment"],"commonQuestions":["How would you design a URL shortening service like bit.ly?","Explain the CAP theorem and its implications for distributed systems.","Describe a challenging technical problem you solved and how you approached it.","How do you handle concurrency in your applications?","What are your thoughts on microservices vs. monolithic architecture?"]}}
- {"location":"Europe","differences":{"tips":["Review common API design principles and best practices.","Understand different database types and their use cases.","Be ready to discuss your experience with project management methodologies.","Highlight your contributions to code quality and team collaboration."],"interviewFocus":["API design and development","Database management and optimization","Agile development practices","Code quality and best practices"],"commonQuestions":["Design a system to handle real-time notifications for a social media platform.","How would you implement a caching strategy for a high-traffic website?","Discuss your experience with Agile methodologies and Scrum.","Explain the principles of RESTful API design.","What are the key differences between SQL and NoSQL databases?"]}}
- {"location":"Asia","differences":{"tips":["If the role involves ML/AI, brush up on relevant algorithms and concepts.","Prepare examples of mentoring and leadership experiences.","Understand the benefits and use cases of containerization.","Practice articulating your debugging process."],"interviewFocus":["Machine Learning and AI concepts (if applicable to the role)","Mentorship and leadership potential","Containerization and DevOps practices","Debugging and troubleshooting skills"],"commonQuestions":["How would you design a recommendation engine for an e-commerce site?","Explain the concept of eventual consistency.","Describe a situation where you had to mentor a junior engineer.","What are the advantages of using containerization (e.g., Docker)?","How do you approach debugging complex issues?"]}}

## Round 1: Coding Round 1
**Type:** Technical Interview - Data Structures and Algorithms · **Difficulty:** Medium · **Duration:** 45 min
Assess fundamental coding skills with data structures and algorithms problems.
This round focuses on your fundamental programming skills. You will be asked to solve coding problems that test your knowledge of data structures (e.g., arrays, linked lists, trees, graphs, hash maps) and algorithms (e.g., sorting, searching, dynamic programming, recursion). The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and debugging.
**Interviewers look for:** Strong understanding of data structures and algorithms.; Ability to translate a problem into code.; Clear communication of thought process.; Ability to identify and discuss edge cases and constraints.
**Evaluation criteria:** Correctness of the solution; Efficiency of the solution (time and space complexity); Code readability and maintainability; Problem-solving approach and logical thinking
**Common rejection reasons:** Inability to articulate thought process clearly.; Lack of fundamental data structure and algorithm knowledge.; Inefficient or incorrect code implementation.; Poor problem-solving approach.
## Questions

- Given a binary tree, find its inorder traversal.
- Implement a function to find the kth smallest element in an unsorted array.
- Write a function to check if a string is a palindrome, ignoring non-alphanumeric characters.

## Preparation tips

- Practice coding problems on platforms like LeetCode, HackerRank.
- Focus on understanding the time and space complexity of your solutions.
- Be prepared to explain your code line by line.
- Practice writing code on a whiteboard or in a shared editor.

## Round 2: System Design Round
**Type:** Technical Interview - System Design · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable and reliable software systems.
This round evaluates your ability to design and architect scalable, reliable, and efficient software systems. You will be presented with a high-level problem (e.g., design a URL shortener, a social media feed, or a distributed cache) and expected to propose a solution. The interviewer will probe your understanding of various components, trade-offs, and potential bottlenecks.
**Interviewers look for:** Understanding of system design principles.; Ability to design complex systems from scratch.; Knowledge of databases, caching, load balancing, etc.; Ability to communicate design choices and justify them.
**Evaluation criteria:** Scalability of the design; Reliability and fault tolerance; Performance considerations; Clarity and structure of the design; Ability to discuss trade-offs
**Common rejection reasons:** Inability to design scalable and robust systems.; Lack of understanding of distributed systems concepts.; Poor trade-off analysis.; Not considering edge cases or failure scenarios.
## Questions

- Design a system like Twitter's news feed.
- How would you design a distributed key-value store?
- Design an API for a ride-sharing service.

## Preparation tips

- Study common system design patterns and architectures.
- Read system design case studies and blogs.
- Practice designing systems for scale and high availability.
- Be prepared to discuss databases, caching, load balancing, and APIs.

## Round 3: Behavioral Round
**Type:** Behavioral / Managerial Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess behavioral competencies, teamwork, and cultural fit.
This round focuses on your behavioral and soft skills. You'll be asked questions about your past experiences, how you handle specific situations (e.g., conflicts, failures, successes), your career goals, and your understanding of teamwork and leadership. The interviewer aims to understand how you would fit into the team and the company culture.
**Interviewers look for:** Evidence of teamwork and collaboration.; Ability to handle challenging situations and conflicts.; Motivation and passion for software engineering.; Alignment with Docusign's mission and values.; Self-awareness and ability to reflect on past experiences.
**Evaluation criteria:** Communication skills; Teamwork and collaboration; Problem-solving approach in past projects; Adaptability and learning agility; Cultural fit and alignment with Docusign values
**Common rejection reasons:** Poor communication skills.; Lack of collaboration or teamwork.; Negative attitude or lack of enthusiasm.; Mismatch with company culture or values.; Inability to provide specific examples for behavioral questions.
## Questions

- Tell me about a time you had to work with a difficult colleague. How did you handle it?
- Describe a challenging project you worked on and how you overcame obstacles.
- What are your strengths and weaknesses as a software engineer?
- Why are you interested in Docusign?

## Preparation tips

- Prepare examples using the STAR method for common behavioral questions.
- Reflect on your strengths and weaknesses.
- Think about why you want to work at Docusign.
- Be ready to discuss your career aspirations.
- Show enthusiasm and a positive attitude.