Scale Engineer

Software Engineer

Software EngineerLMTSMedium to Hard

The interview process for a Software Engineer at athenahealth, specifically for the LMTS level, is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, starting with an initial screening and progressing through technical and behavioral assessments.

Rounds·4

Timeline·~14d

Experience·3 - 7 yrs

Comp band·US$110000 - US$150000

Interview time·180 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages and frameworks.
  • Problem-solving and analytical skills.
  • System design and architectural thinking.
  • Communication and collaboration abilities.
  • Cultural fit and alignment with athenahealth's values.
  • Experience with agile development methodologies.
  • Ability to learn and adapt to new technologies.

Preparation

How to prepare.

Tips

  1. Review core computer science concepts (data structures, algorithms, operating systems, databases).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or similar.
  3. Study system design principles and common architectural patterns.
  4. Prepare behavioral questions using the STAR method (Situation, Task, Action, Result).
  5. Research athenahealth's mission, values, and products.
  6. Understand the specific technologies and tools mentioned in the job description.
  7. Prepare questions to ask the interviewers about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: DSA practice (LeetCode medium/hard).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, searching, and dynamic programming. Practice medium to hard level problems on platforms like LeetCode. Aim for 2-3 hours of study per day.

Questions

Commonly asked.

  • Tell me about a time you had to deal with a difficult stakeholder.
  • How would you design a system to manage patient appointments?
  • Write a function to find the kth largest element in an unsorted array.
  • Describe your experience with cloud-native architectures.
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you ensure the security of sensitive data in your applications?
  • Explain the concept of RESTful APIs.
  • Describe a situation where you had to work under a tight deadline.
  • How do you approach code refactoring?
  • What are your thoughts on test-driven development (TDD)?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote

Interview focus

System design for healthcare applicationsScalability and performance in a regulated environmentUnderstanding of healthcare data standards (e.g., HL7, FHIR)Collaboration and communication within cross-functional teams

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.
  • How do you ensure the scalability and reliability of your code?
  • What are your thoughts on microservices vs. monolithic architecture in a healthcare context?
  • Tell me about a time you had to mentor a junior engineer.

Tips

  • Research athenahealth's specific products and services in the healthcare IT space.
  • Be prepared to discuss your experience with cloud platforms (AWS, Azure) and their relevance to healthcare.
  • Familiarize yourself with common healthcare workflows and challenges.
  • Highlight any experience with compliance and security in healthcare data.

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.