Epic Software Engineer interview typically runs 3 rounds: online assessment, phone screen, final interview. Timeline is about 1-2 weeks, and the process is unusually assessment-heavy.
$145K
Avg. Base Comp
$170K
Avg. Total Comp
4-6
Typical Rounds
2-5 weeks
Process Length
We’ve seen Epic evaluate software engineers less like a conventional tech company and more like a place that wants to see how candidates perform under a structured, multi-part filter. Multiple candidates reported that the hardest signal comes early, in assessments that mix coding with math, logic, and unusual reasoning tasks. The recurring theme is not raw algorithm difficulty alone — several people described the coding as easy-to-medium — but the need to stay accurate while switching between formats, from timed logic bursts to pseudocode and unfamiliar language exercises.
What stands out across candidate experiences is how much Epic values clear thinking and explanation. The live conversations are often described as calm, conversational, and broad: candidates were asked to walk through projects, explain why they wanted Epic, and talk through technical choices in detail. We also saw repeated mention of case-style prompts, especially prioritization and healthcare-flavored scenarios like patient lookup or identification systems. That tells us Epic is looking for people who can reason through messy, real-world constraints, not just solve isolated problems.
A subtle but important pattern is that candidates who did well were ready for Epic’s format, not just its questions. The company seems to reward people who can move quickly through nonstandard assessments, then switch into a thoughtful, structured discussion about tradeoffs. In other words, the interview is less about dazzling with one perfect answer and more about showing steady judgment across very different problem types.
Synthesized from 14 candidate reports by our editorial team.
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Featured question at Epic
Given an integer N, write a function that returns all of the prime numbers up to N
| Question | |
|---|---|
| The Brackets Problem | |
| Hurdles In Data Projects | |
| Valid Anagram | |
| Prime Numbers Identification | |
| Search Timeout | |
| Combinational Dice Rolls | |
| String Palindromes | |
| Deciding Between Solutions | |
| Distributed Authentication Model | |
| Testing Constraints | |
| Client Solution Pushback | |
| Two Cars | |
| Why Do You Want to Work With Us | |
| Marketing Workflow Optimization | |
| Your Strengths and Weaknesses | |
| Tic-Tac-Toe Outcome | |
| Measuring Text Difficulty | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Weighted Keys | |
| Top 3 Users | |
| Bagging vs Boosting | |
| Detecting ECG Tachycardia Runs | |
| Size of Joins | |
| P-value to a Layman | |
| Sort Strings | |
| String Mapping | |
| Most Repetition | |
| Find Duplicate Numbers in a List |
Synthesized from candidate reports. Individual experiences may vary.
The process often starts with a short call from a recruiter, HR, or even a current employee/developer. This is usually a fit and logistics conversation covering your interest in Epic, why the role, your background, and basic eligibility details.
Epic’s main early filter is a long, custom assessment in its own system. It typically mixes timed math and logic questions, personality or behavioral sections, language-learning or made-up language interpretation, and several coding problems that are often easy-to-medium LeetCode level, sometimes with pseudocode allowed and no code execution.
Some candidates then speak with a current developer or team member for a role introduction. This round is usually conversational and focused on a project walkthrough, your resume, and why you want to work at Epic.
Candidates who advance may have a deeper technical conversation or assessment with engineers. This can include coding questions, math/logic under time pressure, OOP basics, and simple parsing or algorithm problems, with some experiences describing a two-hour technical assessment.
The final stage is often a long virtual block with multiple back-to-back conversations. It commonly includes a case study, behavioral questions, a presentation or software orientation, and sometimes a group-style discussion with engineers, recruiters, or HR; the focus is as much on communication, prioritization, and fit as on coding.
After the final round, Epic typically makes a decision soon after, with at least one candidate reporting an offer about a week later. The process appears to weigh assessment performance heavily, especially the early OA.