As a Software Engineer at Emory University, you play a pivotal role in advancing the university's technological infrastructure and enhancing its educational and research capabilities. This position is integral to developing innovative software solutions that support various academic and administrative functions. By streamlining processes, enhancing user experiences, and optimizing data management, you contribute to the university's mission of excellence in education and research. Your work as a Software Engineer directly impacts students, faculty, and staff by providing reliable, scalable, and user-friendly applications. You will collaborate with diverse teams across the university, tackling complex challenges that require both technical expertise and creative problem-solving. The role is not only about writing code; it involves understanding user needs, collaborating with stakeholders, and adapting to the ever-evolving tech landscape within higher education. Expect to engage in exciting projects ranging from developing educational tools to improving administrative systems. Your contributions will shape how the university operates and interacts with its community, making this position both critical and rewarding.
Phone Screening
reportedInitial screening call to assess candidate's background and role fit.
What to demonstrate
- Initial screening call to assess candidate's background and role fit
- Depth in Behavioral Interviewing
How to prepare
- Be able to walk your CV end to end in two minutes, and say why this company specifically.
- Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Technical Interviews
reportedOne or more interviews focused on technical capabilities and real-world applications.
What to demonstrate
- One or more interviews focused on technical capabilities and real-world applications
- Depth in Behavioral Interviewing
How to prepare
- Answer aloud and timed: Can you describe a project where you implemented a complex algorithm?
- Answer aloud and timed: What is your experience with version control systems?
Behavioral Questions
reportedQuestions exploring past experiences and problem-solving skills.
What to demonstrate
- Questions exploring past experiences and problem-solving skills
- Depth in Behavioral Interviewing
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the behavioral questions above and write down what you would ask to confirm before it.
PracHub editorial advice for the preparation topics above.
Understand the University Mission
Familiarize yourself with Emory University’s goals and values. Align your answers to demonstrate how you can contribute to their mission.
Practice Coding
Engage in coding exercises and technical problem-solving to sharpen your skills before the interview.
Communicate Clearly
Prioritize clarity in your explanations during technical discussions. Avoid jargon unless necessary, and be prepared to explain concepts in simple terms.
Be Yourself
Authenticity matters. Show your personality and passion for the role, as cultural fit is a key evaluation criterion.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
Can you describe a project where you implemented a complex algorithm?
Can you describe a project where you implemented a complex algorithm?
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Write a function to merge two sorted arrays.
Write a function to merge two sorted arrays.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
How would you implement a search algorithm? Describe its time complexity.
How would you implement a search algorithm? Describe its time complexity.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Solve a problem involving data structure manipulation, such as reversing a linked list.
Solve a problem involving data structure manipulation, such as reversing a linked list.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Can you explain the differences between depth-first and breadth-first search?
Can you explain the differences between depth-first and breadth-first search?
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Stop tag and share joins from fanning out a page
resource_tag is (resource_id, tag_id) with PK (resource_id, tag_id); resource_share is (resource_id, shared_with_user_id, permission). The tagged-and-shared listing inner-joins resource to both, filters tenant_id, tag_id = ANY($2) and shared_with_user_id = $3, orders by updated_at DESC and takes 50. Pages come back with fewer than 50 distinct resources and the total in the header is far too high. Explain the row multiplication, rewrite both the page query and the count query so each is correct, and name the index each one needs. PostgreSQL 16.
Approach
- Do the arithmetic against the predicates that are actually there. An inner join emits one row per matching child row, and both joins are filtered: tag_id = ANY($2) admits only the requested tags, shared_with_user_id = $3 admits one user's share rows. So a resource holding three of the requested tags and shared with $3 once yields three rows, not one — the multiplier is its count of matching tags times its share rows for that single user, and that second factor is 1 unless the table admits duplicate (resource_id, shared_with_user_id) pairs. LIMIT 50 then limits rows rather than resources, and COUNT(*) counts pairs — the header is the product, not the population.
- Reject DISTINCT as the fix. It deduplicates after the product has been built, so the planner must materialise and sort the fanned-out set before the LIMIT can apply, and it leaves any SUM or AVG in the same select list wrong.
- Rewrite both filters as semi-joins, keeping resource as the only row source: AND EXISTS (SELECT 1 FROM resource_tag rt WHERE rt.resource_id = r.resource_id AND rt.tag_id = ANY($2)) and the same shape against resource_share. A semi-join stops at the first match per resource and preserves the driving index order, so ORDER BY updated_at DESC, resource_id DESC LIMIT 50 still stops after 50 rows.
- Count with the same predicates and no join at all: SELECT count(*) FROM resource r WHERE r.tenant_id = $1 AND r.status = 'active' AND EXISTS (...) AND EXISTS (...). Nothing multiplies a resource, so the number is the population.
Follow-up
- The filter changes from 'any of these tags' to 'all of these tags'. Rewrite it and state what it costs relative to the ANY form.
- A resource can be shared with the same user twice under different permissions. Does your count change, and should it?
Replace offset paging on the resource feed with keyset
resource holds resource_id, tenant_id, owner_user_id, title, body_ref, version, status ('draft','active','archived','deleted'), created_at, updated_at, deleted_at, with an index on (tenant_id, status, updated_at DESC, resource_id DESC). The listing endpoint returns active resources for one tenant, newest update first, 50 per page, today with LIMIT 50 OFFSET n. Tenants reach page 400 and rows are created while they read. Write the keyset query, define what the cursor carries and how it is encoded, and say which part of the index each predicate uses. Assume PostgreSQL 16.
Approach
- Name the two failures separately. OFFSET 20000 makes the server produce and discard 20,000 rows, so page cost grows with depth rather than with page size. Independently, any write that changes how many rows sort above the offset moves the window between two fetches, and the direction decides which anomaly you get: an insert lands at the head of updated_at DESC and pushes already-returned rows down past the boundary, so they are returned a second time; a delete above the offset, or a row whose updated_at is bumped above the cursor, pulls rows up and one is never returned at all. Nothing in the response reveals either.
- Write the seek: WHERE tenant_id = $1 AND status = 'active' AND (updated_at, resource_id) < ($2, $3) ORDER BY updated_at DESC, resource_id DESC LIMIT 50. The row-value comparison is one index range rather than a disjunction, and both columns are NOT NULL, which is what makes that comparison well defined.
- Map each predicate onto the index: tenant_id and status are equality on the leading columns, (updated_at, resource_id) is the range, and the ORDER BY matches the index order so no Sort node appears and the scan stops after 50 rows. The DESC in the definition only matters for mixed directions — a plain ascending btree on the same columns is read backwards for this query.
- Put both sort columns in the cursor and nothing the client can tamper with into another tenant: base64 of (updated_at, resource_id), validated server-side, with tenant_id taken from the principal.
Follow-up
- The client asks for 'jump to page 400'. What do you offer instead, and what does the honest version cost?
- Sort order becomes user-selectable across four columns. How many indexes is that, and which would you refuse to add?
Explain the concept of object-oriented programming and its advantages.
Explain the concept of object-oriented programming and its advantages.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Discuss the importance of unit testing and how you implement it.
Discuss the importance of unit testing and how you implement it.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you design a system to manage student enrollment?
How would you design a system to manage student enrollment?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
If given a limited budget, how would you approach optimizing a legacy system?
If given a limited budget, how would you approach optimizing a legacy system?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you approach developing a new feature requested by users?
How would you approach developing a new feature requested by users?
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Describe the steps you would take to troubleshoot a performance issue in an application.
Describe the steps you would take to troubleshoot a performance issue in an application.
Approach
- Establish what changed and when, before forming any theory.
- Pick a bisection that eliminates candidates whichever way it turns out.
- Check the instrumentation before believing the symptom.
- Separate the trigger from the cause; the deploy is rarely the bug.
Follow-up
- What would you look at first, and what would it rule out?
- How would you tell a cause from a coincidence here?
Built from the rounds and topics Emory University candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Emory University loop
- Write out the reported sequence: Phone Screening, Technical Interviews, Behavioral Questions.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Behavioral Interviewing
- Spend the session on Behavioral Interviewing, which Emory University candidates report being tested on.
- Write one worked example in Behavioral Interviewing and time yourself on it.
Deliverable: One timed worked example in Behavioral Interviewing.
03Work Technical Interviewing
- Spend the session on Technical Interviewing, which Emory University candidates report being tested on.
- Write one worked example in Technical Interviewing and time yourself on it.
Deliverable: One timed worked example in Technical Interviewing.
04Work Problem Solving
- Spend the session on Problem Solving, which Emory University candidates report being tested on.
- Write one worked example in Problem Solving and time yourself on it.
Deliverable: One timed worked example in Problem Solving.
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: Explain the concept of object-oriented programming and its advantages.
- Answer aloud, timed: How do you handle errors and exceptions in your code?
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Describe a challenging project you worked on. How did you overcome the obstacles?
- Answer aloud, timed: How do you prioritize tasks when you have multiple deadlines?
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
07Answer out loud: Problem-Solving / Case Studies
- Answer aloud, timed: How would you design a system to manage student enrollment?
- Answer aloud, timed: If given a limited budget, how would you approach optimizing a legacy system?
Deliverable: Spoken answers to 2 reported Problem-Solving / Case Studies question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
How do you handle errors and exceptions in your code?
How do you handle errors and exceptions in your code?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
What is your experience with version control systems?
What is your experience with version control systems?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe a challenging project you worked on. How did you overcome the obstacles?
Describe a challenging project you worked on. How did you overcome the obstacles?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you prioritize tasks when you have multiple deadlines?
How do you prioritize tasks when you have multiple deadlines?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Give an example of a time you had to collaborate with a difficult team member.
Give an example of a time you had to collaborate with a difficult team member.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
What motivates you to perform at your best?
What motivates you to perform at your best?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you handle feedback and criticism regarding your work?
How do you handle feedback and criticism regarding your work?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
How do you handle errors and exceptions in your code?
- 02
What is your experience with version control systems?
- 03
Describe a challenging project you worked on. How did you overcome the obstacles?
- 04
How do you prioritize tasks when you have multiple deadlines?
How difficult is the interview process at Emory University?
The interview process is considered to be of average difficulty, with a balance of technical and behavioral questions. Candidates should prepare thoroughly, as the interviews are designed to evaluate both skills and cultural fit.
Emory University Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates tend to showcase strong technical skills, effective problem-solving abilities, and a collaborative mindset. Demonstrating enthusiasm for the role and alignment with Emory's values can also set you apart.
Emory University Software Engineer candidate reports ↗What is the typical timeline from the initial screen to an offer?
The timeline can vary, but candidates often report a process lasting several weeks. Expect follow-ups and potential delays, especially if multiple rounds of interviews are involved.
Emory University Software Engineer candidate reports ↗Is remote work an option for this role?
The specifics of remote or hybrid work can depend on the department and the nature of the projects. Generally, Emory University is open to flexible work arrangements when feasible.
Emory University Software Engineer candidate reports ↗What topics does Emory University test in interviews?
Emory University interviews most often cover Business Analysis, Data-Informed Decision Making, Behavioral Interviewing, Requirements Gathering, and Stakeholder Communication. The exact emphasis depends on the specific role you apply for.
Emory University Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Emory University Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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