# Software Engineer
**Role:** Software Engineer · **Level:** L2
**Company:** [Tekion](https://scaleengineer.com/companies/tekion)
**Difficulty:** Medium
**Salary:** US$90000 - US$130000
**Experience:** 2 - 5
**Timeline:** ~7 days
This interview process is designed to assess candidates for a Software Engineer (L2) position at Tekion. It evaluates technical proficiency, problem-solving skills, system design capabilities, and cultural fit.
Canonical: https://scaleengineer.com/interviews/tekion/l2-software-engineer
---
## Overall evaluation

- Technical Skills (DSA & Coding)
- System Design
- Behavioral & Cultural Fit
- Core Programming Language Proficiency

## Questions asked

- Given an array of integers, find the contiguous subarray with the largest sum.
- Design a rate limiter.
- How would you design a system to handle real-time stock price updates?
- Tell me about a time you disagreed with a teammate. How did you handle it?
- Explain the concept of polymorphism in object-oriented programming.
- What are the differences between processes and threads?
- How do you approach debugging a complex issue in a distributed system?
- Describe a situation where you had to learn a new technology quickly. How did you do it?

## Preparation tips

### lists

- Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal).
- Practice coding problems focusing on time and space complexity analysis.
- Study system design concepts like load balancing, caching, database sharding, message queues, and CAP theorem.
- Prepare for behavioral questions by reflecting on past experiences using the STAR method (Situation, Task, Action, Result).
- Understand Tekion's products and values to align your answers.
- Be ready to discuss your resume in detail, highlighting relevant projects and achievements.

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, AVL trees), heaps, hash tables, graphs. Implement common algorithms like sorting (quicksort, mergesort), searching (binary search), dynamic programming, and graph traversal (BFS, DFS). Analyze time and space complexity for each.","shortDescription":"Weeks 1-2: DSA fundamentals and implementation. Analyze complexity."}
- {"title":"System Design","longDescription":"Weeks 3-4: System Design. Study concepts like designing scalable web applications, microservices architecture, API design, databases (SQL vs. NoSQL, sharding, replication), caching strategies, message queues, load balancing, and distributed systems principles (CAP theorem, consensus algorithms). Practice designing common systems like Twitter feed, URL shortener, or a chat application.","shortDescription":"Weeks 3-4: System Design principles and practice. Focus on scalability and distributed systems."}
- {"title":"Behavioral & Company Fit","longDescription":"Week 5: Behavioral and Behavioral Questions. Prepare for common behavioral questions related to teamwork, conflict resolution, handling failure, leadership, and motivation. Use the STAR method to structure your answers. Research Tekion's company culture and values.","shortDescription":"Week 5: Behavioral questions and company research. Use STAR method."}
- {"title":"Language Proficiency & Projects","longDescription":"Week 6: Core Programming Language and Project Deep Dive. Refresh your knowledge of the primary programming language used at Tekion (e.g., Java, Python, Go), including its core concepts, standard libraries, and common frameworks. Be prepared to discuss your past projects in detail, focusing on technical challenges, design decisions, and your contributions.","shortDescription":"Week 6: Language proficiency and resume project deep dive."}

## Location differences

- {"location":"USA","differences":{"tips":["Be prepared to discuss your experience with cloud platforms.","Familiarize yourself with common microservices patterns.","Highlight projects where you demonstrated leadership or mentorship."],"interviewFocus":["Deep dive into specific technologies relevant to the team's stack (e.g., Java, Python, Go).","Understanding of distributed systems and microservices architecture.","Problem-solving in a cloud-native environment (AWS, GCP, Azure)."],"commonQuestions":["How would you design a URL shortener service?","Explain the difference between SQL and NoSQL databases.","Describe a challenging technical problem you solved and how you approached it."]}}
- {"location":"India","differences":{"tips":["Practice coding problems on platforms like LeetCode or HackerRank.","Be ready to explain your thought process clearly during coding challenges.","Showcase your ability to work collaboratively in a team environment."],"interviewFocus":["Strong emphasis on data structures and algorithms.","Understanding of software development lifecycle and agile methodologies.","Problem-solving with a focus on efficiency and scalability."],"commonQuestions":["Design a system to handle real-time notifications for a social media platform.","What are the trade-offs between monolithic and microservices architectures?","How do you ensure code quality and maintainability?"]}}

## Round 1: Data Structures and Algorithms
**Type:** Technical Interview (DSA) · **Difficulty:** Medium · **Duration:** 45 min
Assess fundamental coding skills with 1-2 DSA problems.
This round focuses on your fundamental programming skills. You will be asked to solve 1-2 coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your approach to problem-solving and your understanding of time and space complexity.
**Interviewers look for:** Strong understanding of fundamental data structures and algorithms.; Ability to translate a problem into a working code solution.; Clear communication of thought process.
**Evaluation criteria:** Correctness of the solution; Efficiency (time and space complexity); Code readability and structure; Problem-solving approach
**Common rejection reasons:** Inability to solve basic coding problems.; Poor time or space complexity analysis.; Lack of clarity in explaining the solution.
## Questions

- Reverse a linked list.
- Find the kth smallest element in a binary search tree.
- Implement a function to check if a string is a palindrome.

## Preparation tips

- Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks.
- Focus on understanding the underlying data structures and algorithms.
- Practice explaining your thought process out loud while solving problems.
- Pay attention to edge cases and constraints.

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Medium · **Duration:** 60 min
Design a scalable system, discussing trade-offs and components.
In this round, you will be asked to design a scalable system, such as a URL shortener, a social media feed, or a chat application. The interviewer will assess your ability to break down a complex problem, identify key components, consider scalability, reliability, and trade-offs, and design a robust solution. You'll be expected to discuss database choices, caching strategies, API design, and potential bottlenecks.
**Interviewers look for:** Ability to design complex systems from scratch.; Understanding of distributed systems concepts.; Clear communication of design choices and justifications.
**Evaluation criteria:** System design principles; Scalability and performance; Reliability and fault tolerance; Trade-off analysis; API design
**Common rejection reasons:** Inability to design a scalable and robust system.; Lack of understanding of trade-offs.; Poor consideration of failure scenarios.
## Questions

- Design a URL shortening service like bit.ly.
- Design a system to count unique visitors to a website.
- Design a notification service.

## Preparation tips

- Study common system design patterns and concepts.
- Practice designing various systems, focusing on scalability and trade-offs.
- Be prepared to draw diagrams and explain your design choices clearly.
- Consider different aspects like data storage, caching, load balancing, and message queues.

## Round 3: Hiring Manager Round
**Type:** Behavioral Interview · **Difficulty:** Easy · **Duration:** 30 min
Assess behavioral aspects, team fit, and motivation.
This round is conducted by the hiring manager to assess your overall fit with the team and the company. You'll be asked behavioral questions about your past experiences, focusing on teamwork, problem-solving, leadership, and how you handle challenges. They will also gauge your motivation for joining Tekion and your understanding of the role.
**Interviewers look for:** How you handle challenges and conflicts.; Your motivation and passion for software engineering.; Your ability to work effectively in a team.; Your alignment with Tekion's values.
**Evaluation criteria:** Communication skills; Teamwork and collaboration; Problem-solving approach; Adaptability and learning agility; Cultural fit
**Common rejection reasons:** Poor communication skills.; Inability to articulate past experiences effectively.; Lack of alignment with company values.; Negative attitude or lack of enthusiasm.
## Questions

- Tell me about a time you faced a difficult technical challenge and how you overcame it.
- Describe a situation where you had to work with a difficult team member.
- Why are you interested in Tekion?
- Where do you see yourself in 5 years?

## Preparation tips

- Prepare specific examples from your past experiences using the STAR method.
- Research Tekion's mission, values, and culture.
- Think about why you are interested in this specific role and company.
- Be enthusiastic and positive in your responses.