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.
Synthetized from 14 candidates reports by our editorial team.
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Real interview reports from people who went through the Epic process.
The hardest part was honestly the online assessment, not the interviews themselves. Everything was remote, and the process started with a very long custom OA in Epic’s own system that mixed IQ-style questions, math and logic, and coding. Mine had multiple sections, including a 2-minute speed round where you answer as many questions as you can, a math section with no real time pressure, a learn-the-program-language section, and then a programming section with four coding questions where pseudocode was allowed. The coding felt around easy-to-medium LeetCode level, but the bigger challenge was moving quickly through the logic and aptitude parts without getting stuck.
After that, I had a phone screen that was pretty standard: basic resume walkthrough, why I was interested in Epic, and why the role. The final round was much longer and more conversational, around three hours to a full interview day depending on the schedule, with a case study, behavioral questions, and some orientation on their software. In my case it turned into a very chatty day with several back-to-back Zoom calls, mostly group interviews with a couple individual ones mixed in. The vibe was less like a pure coding interview and more like they were checking whether you could think clearly, communicate well, and fit their workflow.
What stood out to me was that the OA seemed to be the main filter. If you get through that, the rest is more about being prepared to talk through your experience and ask good questions. I ended up accepting the offer, and my main takeaway is to practice timed logic/math sections as seriously as the coding, because that part was more distinctive than the final interview.
Prep tip from this candidate
Practice a timed OA that combines IQ-style logic, math, and a few easy-to-medium coding questions, including a very short speed round. Also be ready for a final case-study/behavioral interview that includes a walkthrough of Epic’s software and a lot of conversational back-and-forth.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
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 | |
| Combinational Dice Rolls | |
| String Palindromes | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Tic-Tac-Toe Outcome | |
| Measuring Text Difficulty | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Size of Joins | |
| P-value to a Layman | |
| Top 3 Users | |
| Recurring Character | |
| String Mapping | |
| Find Duplicate Numbers in a List | |
| Most Repetition | |
| Target Indices | |
| Type I and II Errors | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Dictionary Unique Values | |
| Impossibly Iterative Fibonacci | |
| Book Combinations | |
| Stakeholder Communication | |
| k-Means from Scratch | |
| Accessible Data | |
| Empty Neighborhoods |
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.