Scale Engineer

Software Engineer

Software EngineerAMTSMedium to Hard

The Software Engineer interview at athenahealth for the AMTS level is a comprehensive process designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, including HR screening, technical interviews focusing on data structures, algorithms, and system design, and a final managerial interview to evaluate leadership potential and alignment with team goals.

Rounds·4

Timeline·~7d

Experience·2 - 5 yrs

Comp band·US$95000 - US$130000

Interview time·165 min

Evaluation

What they measure.

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • System design capabilities
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit
  • Adaptability and learning agility

Preparation

How to prepare.

Tips

  1. Review fundamental data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, recursion).
  2. Practice coding problems, focusing on time and space complexity analysis.
  3. Study system design principles, including scalability, reliability, and availability.
  4. Prepare to discuss your past projects and technical experiences in detail.
  5. Understand common behavioral interview questions and prepare STAR method (Situation, Task, Action, Result) responses.
  6. Research athenahealth's mission, values, and products.
  7. Prepare thoughtful questions to ask the interviewers.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures (Arrays, Lists, Trees, HashMaps) & Basic Algorithms (Sorting, Searching).

Weeks 1-2: Focus on core data structures like arrays, linked lists, stacks, queues, trees (binary trees, BSTs, heaps), and hash tables. Practice implementing these and solving problems involving them. Understand their time and space complexities. Cover basic sorting and searching algorithms.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to store and retrieve user profiles.
  • Explain the difference between TCP and UDP.
  • Tell me about a time you failed and what you learned from it.
  • How would you optimize a slow database query?
  • What are the trade-offs between monolithic and microservices architectures?
  • Describe your experience with version control systems like Git.
  • How do you handle conflicting priorities?
  • Write a function to reverse a linked list.
  • What is polymorphism and how is it implemented in your preferred language?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

Emphasis on practical application of data structures and algorithms in real-world healthcare scenarios.Deeper dive into system design principles relevant to healthcare platforms.Assessment of communication and collaboration skills in a team environment.

Common questions

  • How would you design a system to handle real-time patient data updates?
  • Describe a challenging technical problem you solved and your approach.
  • What are your thoughts on microservices architecture?
  • How do you ensure code quality and maintainability?
  • Tell me about a time you had to mentor a junior engineer.

Tips

  • Familiarize yourself with healthcare industry challenges and athenahealth's solutions.
  • Be prepared to discuss your contributions to open-source projects or personal coding projects.
  • Practice explaining complex technical concepts clearly and concisely.
  • Research athenahealth's company culture and values.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

DSA

Coding questions at athenahealth.

Frequently reported on athenahealth loops

View all at athenahealth

Other guides

More at athenahealth.